Skill: kaisersong/kai-report-creator (version 1.23.3)

--- name: kai-report-creator description: Use when the user wants to CREATE or GENERATE a report, business summary, data dashboard, or research doc — 报告/数据看板/商业报告/研究文档/KPI仪表盘. Handles Chinese and English equally. Supports generating from raw notes, data, URLs, or an approved plan file. Use for --plan (structure first), --generate (render to HTML), --review (one-pass automatic refinement), --themes (preview styles), --from FILE, --bundle, --export-image flags. Does NOT apply to exporting finished HTML to PPTX/PNG (use kai-html-export) or creating slide decks (use kai-slide-creator). version: 1.23.3 user-invocable: true metadata: {"openclaw": {"emoji": "📊"}} --- # kai-report-creator Generate single-file HTML reports from source notes or `.report.md` IR. Keep this file as a thin router: load only the references needed for the current path. ## Core Principles 1. **Zero Dependencies** — generated reports are self-contained HTML, with CDN or bundled assets only when needed. 2. **User Provides Data, AI Provides Structure** — never fabricate facts or numbers; use `[数据待填写]` / `[INSERT VALUE]` when data is missing. 3. **Plan Before Generate** — complex reports should become `.report.md` IR first, then HTML. 4. **Progressive Disclosure for AI** — output keeps `report-summary`, section annotations, and component data machine-readable. 5. **Thin Routing Over Prompt Growth** — `SKILL.md` routes work; detailed rules live in references. 6. **Contracts and Gates Beat Prompt Soup** — prefer IR, guard validation, shell tests, and post-render review over adding more prose to this hot path. ## Command Routing When invoked as `/report [flags] [content]`, parse flags first: | Flag | Action | |------|--------| | `--plan "topic"` | Write `.report.md` IR only. Stop after saving it. | | `--generate [file]` | Render one `.report.md` IR to HTML. With no file given, treat as IR from context: extract exactly one valid IR block from context. Never render the surrounding conversation. | | `--review [file]` | Refine an existing HTML report with `references/review-checklist.md`. | | `--themes` | Write the themes preview HTML. | | `--from <file>` | If the file starts with frontmatter, treat as IR; otherwise create IR, then render. | | `--theme <name>` | Override the theme. Built-ins: `corporate-blue`, `minimal`, `dark-tech`, `dark-board`, `data-story`, `newspaper`, `regular-lumen`, `fangsong`. | | `--template <file>` | Use a custom HTML template. See `references/toc-and-template.md`. | | `--output <file>` | Save to this path instead of the default. | | `--bundle` | Inline CDN assets where supported. | | `--export-image [mode]` | After HTML generation, run `scripts/export-image.py`; mode is `im`, `mobile`, `desktop`, or `all`. | | no flags + text | Create IR internally, then render HTML. | | no flags + IR in context | Treat as `--generate` from context. | Default output filename: `report-<YYYY-MM-DD>-<slug>.html`. Slug: lowercase ASCII, non-alphanumeric to hyphens, collapse hyphens, trim, max 30 chars. ## Reference Loading Load reference files minimally by route; do not read every reference by default. In short: load only the references that materially help the current render path. | Route | Always load | Conditional load | |-------|-------------|------------------| | `--plan` | `references/spec-loading-matrix.md`, `references/plan-flow.md`, `references/theme-routing.md` | `references/regular-report-content-rules.md` for periodic reports | | `--generate` | `references/generate-flow.md`, `references/html-shell-template.md` + every `references/html-shell/*.md`, `references/theme-css.md`, `references/review-checklist.md` | `references/rendering-rules.md` then only the `references/rendering/*.md` files required by the IR; `references/anti-patterns.md` for visual anchors; `references/diagram-decision-rules.md` for diagrams; `references/regular-report-content-rules.md` for periodic reports | | `--review` | `references/review-checklist.md` | `references/review-report-template.md` if a structured change summary is requested | | custom theme/template | `references/theme-css.md`, `references/toc-and-template.md` | custom theme `reference.md` or `theme.css` | Load `references/spec-loading-matrix.md` before `--plan` and `--generate` as a silent classifier. It covers optional archetypes: `brief`, `research`, `comparison`, `update`. Always load `references/anti-patterns.md` before `--generate`. Load `references/diagram-decision-rules.md` whenever a diagram or diagram-like structure is being considered. ## IR Contract Load `references/ir-contract.md` for the full frontmatter spec, validity terms, and compatibility anchors. Quick reference: - Three parts: YAML frontmatter, Markdown prose (`##`/`###`), component fences `:::tag [param=value]`. - `:::kpi` uses `items:`; Use **ECharts** for ALL charts. - Badges are optional visual enhancements, not a first-class IR tag. - Validity taxonomy: `invalid_syntax`, `invalid_semantics`, `contract_conflict`, `auto_downgrade_target`. - Timeline details live in rendering references; Allowed `Date` tokens must be real time markers, not decorative labels. - Canonical component routing: `references/rendering-rules.md`; component details: `references/rendering/*.md`. Minimal frontmatter example: ```yaml theme: corporate-blue # Optional. Default: corporate-blue report_class: mixed # Optional. Values: narrative, mixed, data archetype: research # Optional lightweight archetype hint for silent classification. ``` Supported archetypes: `brief`, `research`, `comparison`, `update`. ## Language And Theme Load `references/theme-routing.md` for the full theme-selection table and report-class rules. Quick reference: auto-detect `zh` when CJK is material; apply to placeholders, TOC labels, date display, and shell labels. ## `--plan` Flow Load `references/plan-flow.md` for the full 10-step procedure and narrative rhythm rules. Key gates: save as `report-<slug>.report.md`; do not generate HTML; use real quantitative KPI values only. Poster summary mode is opt-in. Do not infer `poster_title` or `poster_subtitle` from punctuation in `title`. Narrative cadence blocks (`lead-block`, `section-quote`, `action-grid`) follow claim -> explanation -> scan anchor. These are optional prose upgrades, not default required blocks. If uncertain, keep normal paragraphs and add one clearer scan anchor instead of forcing a cadence block. Do not add more than one of `lead-block` / `section-quote` / `action-grid` by default inside the same section unless the source material clearly warrants it. ## `--generate` Flow Load `references/generate-flow.md` for steps 1-8 (input parsing, guard validation, render, shell assembly, CSS). Then run these quality gates in sequence — do not skip: 9. Run pre-write validation and fix all violations: - no raw `:::` in HTML - valid `ir-hash` - no generic/template h2 headings - short, real quantitative `.kpi-value` and `report-summary` KPI values; no placeholder or status-only KPI values - `.number` body numerals use tabular lining numerals - badges clarify status/category/entity, never quota-fill - timeline dates are real time markers - no U+FE0F - no `text-align: justify`, black-background flood, body letter-spacing > `0.05em`, or mobile-hidden critical controls 10. Run the final HTML quality gate with `scripts/html_quality_gate.py` on the rendered HTML. It must pass standard shell IDs, theme fidelity, and KPI value checks. If it fails, fix the HTML and rerun it before reporting success. 11. Run L2 shell checks. Required: `data-template="kai-report-creator"`, `data-version`, `data-theme`, `id="toc-toggle-btn"`, `id="toc-sidebar"`, `id="card-mode-btn"`, `id="sc-overlay"`, `id="export-btn"`, `id="export-menu"`, `id="export-print"`, `id="export-png-desktop"`, `id="export-png-mobile"`, `id="export-im-share"`, `id="report-summary"`, plus the JS bindings for print/desktop/mobile/IM export. If any export item or binding is missing, rebuild the whole export block from `references/html-shell/export.md`. 12. Run the silent final review pass from `references/review-checklist.md`, then write the HTML and report the path. When the report is explicitly comparing named vendors, models, or tools, set `data-report-mode="comparison"` on the outer report container and use `.badge--entity-a/.badge--entity-b/.badge--entity-c` only for entity identity. ## `--review` Flow 1. Read the HTML file. 2. Load `references/review-checklist.md`. 3. Apply hard rules automatically; apply AI-advised rules only when confidence is high and factual accuracy is preserved. 4. One-pass automatic refinement; no confirmation window. 5. Use `references/review-report-template.md` when the user wants a structured summary. 6. Write back unless the user asked for diagnosis only. 7. Tell the user what changed and what was intentionally left untouched. ## `--themes` And `--export-image` For `--themes`, read the theme preview template and write `report-themes-preview.html` verbatim. For `--export-image`, after HTML generation run: ```bash python <skill-dir>/scripts/export-image.py <output.html> --mode <mode> ``` If Playwright is unavailable, print install instructions and skip image export without failing HTML generation. ## Shell And Template Boundary Generate complete self-contained HTML. Shell entry contract: `references/html-shell-template.md`; full shell structure, inline JS, export behavior, summary card, edit mode, TOC, print rules, Shell metadata, version/theme metadata, duplicate-date guard, and footer/watermark degradation rules: `references/html-shell/*.md`. All scripts are inline in the shell template. Never load nonexistent files such as `templates/scripts/*.js`. For custom templates and TOC slug rules, use `references/toc-and-template.md`. ## Final Output Always end with the file path and a one-sentence summary. If a validation, guard, or export step could not run, say exactly which step was skipped and why.

path: CLAUDE.md
content: # CLAUDE.md

This file is for project-level rules and contributor/agent guidance.
It is not part of the user-facing skill contract.

## Documentation Placement Rules

- `SKILL.md` is user-facing. It defines the skill interface, command behavior, and runtime contract that the user can rely on. Do not put internal project governance or contributor workflow rules here unless they directly affect the user-visible skill contract.
- `CLAUDE.md` is for project rules. Put repository conventions, contributor/agent workflow rules, and documentation placement policy here.
- `docs/` is for project documentation meant for humans: design notes, architectural writeups, adversarial reviews, rollout plans, ROI/eval analysis, and change rationale. These documents explain the project; they are not runtime inputs to the skill.
- `references/` is for runtime references that the skill may load or depend on during execution: rendering contracts, shell templates, routing matrices, review checklists, CSS assembly rules, and similar machine-followed specifications.

## Contract Boundary Rule

- If the skill program needs to read it, route against it, or treat it as executable guidance, it belongs in `references/`.
- If it exists to explain decisions, record reasoning, or help contributors understand the project, it belongs in `docs/`.
- If it is a repository policy about how we organize or maintain the project itself, it belongs in `CLAUDE.md`.

## Current Application

- Footer/watermark format is a runtime rendering contract, so it belongs in `references/html-shell-template.md` and tests.
- The rule explaining where project docs vs runtime references should live is a repository rule, so it belongs here in `CLAUDE.md`.


path: README.md
content: # kai-report-creator

> You have data, decisions, and deadlines — but decision makers don't have time to read everything. AI can generate reports, but they often look instantly AI-made: template headings, primary color flooding every element, 3-column KPI grids regardless of count. kai-report-creator gives you polished, async-friendly reports in one command: drop a document or URL, pick a theme, and get a single HTML file that survives first-contact reading. Downstream AI agents can also parse it — the output embeds a 3-layer machine-readable structure.
>
> **[See the guide as a report →](https://kaisersong.github.io/kai-report-creator/examples/zh/kai-report-creator-guide.html)** — this document was generated by kai-report-creator itself.

A skill for [Claude Code](https://claude.ai/claude-code) and [OpenClaw](https://openclaw.ai) that turns plain text or structured outlines into polished HTML reports.

English | [简体中文](README.zh-CN.md)

---

## Live Demo

Click any screenshot to open the live demo:

<table>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/en/corporate-blue.html"><img src="templates/screenshots/corporate-blue.png" width="360" alt="corporate-blue"/><br/><b>corporate-blue</b></a><br/><sub>Warm Premium · Business</sub></td>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/en/minimal.html"><img src="templates/screenshots/minimal.png" width="360" alt="minimal"/><br/><b>minimal</b></a><br/><sub>Research · Academic</sub></td>
</tr>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/en/dark-tech.html"><img src="templates/screenshots/dark-tech.png" width="360" alt="dark-tech"/><br/><b>dark-tech</b></a><br/><sub>Engineering · Ops</sub></td>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/en/dark-board.html"><img src="templates/screenshots/dark-board.png" width="360" alt="dark-board"/><br/><b>dark-board</b></a><br/><sub>Dashboards · Architecture</sub></td>
</tr>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/en/data-story.html"><img src="templates/screenshots/data-story.png" width="360" alt="data-story"/><br/><b>data-story</b></a><br/><sub>Annual Reports · Growth</sub></td>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/en/newspaper.html"><img src="templates/screenshots/newspaper.png" width="360" alt="newspaper"/><br/><b>newspaper</b></a><br/><sub>Editorial · Industry Analysis</sub></td>
</tr>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/en/regular-lumen.html"><img src="templates/screenshots/regular-lumen.png" width="360" alt="regular-lumen"/><br/><b>regular-lumen</b></a><br/><sub>Periodic Reports · Weekly/Daily/Monthly</sub></td>
</tr>
</table>

Preview the theme gallery: `/report --themes` → opens `report-themes-preview.html`

---

## Design Philosophy: Skills as Domain Harness Engineering

This section explains the principles behind report-creator — both as a user tool and as a Claude Code skill. These principles are reusable for anyone building skills.

### 1. Progressive Disclosure

A skill file loads entirely into the AI's context on every invocation. Size directly affects focus.

report-creator solves this with **rules in the skill, assets in files**:

```
--plan        → only IR rules + component syntax; no CSS, no HTML shell
--generate    → one theme CSS + one shared CSS; other theme files stay on disk
--themes      → pre-built preview HTML; skill doesn't parse internals
```

**Result:** `--plan` never touches CSS. Single-theme generation only loads the selected theme.

This is progressive disclosure applied to AI context: **reveal information at the moment it's needed, not before.**

### 2. Capability Growth Must Reduce Context Load

When adding a new capability, the first question is not "what else can we stuff into context?" It is "can we reduce prompt/context burden on the generation path?"

report-creator should prefer three moves:

- **Thin routing in `SKILL.md`.** Keep the skill file as a router plus contract boundary. Load only the files needed for the selected path. Do not drag long planning conversations directly into the render phase.
- **Structured compression over raw prose.** Prefer `.report.md`, `BRIEF.json`-style briefs, explicit contracts, and routing metadata over more prompt paragraphs. If information matters repeatedly, give it a field, a schema, or a deterministic transform.
- **Move quality checks off the hot path.** If a new quality mechanism increases generation-time cognitive load, it belongs in guard validation, post-render review, or evals instead of the prompt chain.

This is not minimalism for its own sake. It is reliability work. Prompt bloat makes routing fuzzy, hides the real contract, and causes the model to drop constraints exactly when rendering needs precision.

### 3. Silicon-Carbon Collaboration Design

report-creator is designed for human-AI collaboration at both input and output ends.

**Input: IR as Human-AI Contract**

The `.report.md` Intermediate Representation is the contract between human intent and AI rendering:

```
---                         ← Frontmatter: document identity
title: Q3 Sales Report         What is this? Who made it? How should it look?
theme: corporate-blue          Declares intent, not content.
---

## Section Heading         ← Prose: human narrative
Plain Markdown text...        Written naturally. AI renders to semantic HTML.

:::kpi                     ← Component blocks: structured data
- Revenue: $2.45M ↑12%       Machine-parseable. AI renders deterministically.
:::
```

Humans write naturally without knowing HTML. AI renders each layer with different rules — prose gets Markdown, components get templates. IR is inspectable and version-controllable.

**Output: Three-Layer AI-Readable Structure**

Every generated HTML embeds machine-readable structure:

```
Layer 1 — <script id="report-summary">    Document-level: title, abstract, all KPIs
Layer 2 — data-section data-summary       Section-level: heading + one-sentence summary
Layer 3 — data-component data-raw         Component-level: raw KPI/chart/table data
```

An AI agent reads Layer 1 for a 3-second overview, drills to Layer 2 for section-level understanding, reaches Layer 3 only for specific data.

**Progressive disclosure for both species:** IR reveals structure to humans; HTML reveals data to machines. The same principle applied twice — once for carbon-based readers, once for silicon-based ones.

### 4. Visual Rhythm as Cognitive Pacing

Reports that work follow a rhythm: **prose sets context, components deliver data, prose interprets it**.

The skill enforces this: never 3+ consecutive prose-only sections. Every 4–5 sections must include a visual anchor chosen for the content type — callout, timeline, diagram, KPI grid, or chart. Dense prose fatigues; data without context loses. Alternation creates flow.

This is why IR's component syntax (`:::tag ... :::`) is visually obvious: authors scan IR files and see data-heavy sections immediately.

### 5. Reports Are Asynchronous Decision Support

Slides have a presenter. Reports don't. A report must survive first contact with a busy reader who skims the opening, scans headings, glances at data, and decides in under a minute whether to continue.

This constraint drives product design:

- `--review` is **one-pass automatic refinement**, not interactive editing
- `--generate` runs the same checklist as a **silent final pass**
- Checklist split into **L0 visual quality** and **L1 content quality**
- Only rules AI can judge and repair reliably are included

**Rule of thumb:** A generated report should reduce reader effort. If a stakeholder can understand the point, evidence, and next action from a fast skim, the report works.

### 6. Design Quality Baseline: Against AI Slop

The enemy: instantly recognizable AI output — uniform borders, primary color flooding everything, 3-column KPI grids regardless of count, template-sounding headings.

`references/design-quality.md` encodes four disciplines:

**90/8/2 Color Law.** 90% neutral surface, 8% structural accent, 2% bullet-point hits. When `--primary` floods headings, KPIs, charts, callouts, TOC, and badges — it becomes noise.

**10:1 Typography Tension.** Largest element ≥10× smallest. Report titles should feel like anchors (2.8–4rem), not labels. Pages without hierarchy look like spreadsheet exports.

**KPI Grid Rules.** Default isn't always 3 columns. 4 KPIs → 2×2. Hero metric → `2fr 1fr 1fr`. 7+ KPIs need dividers. Rigid 3-column grids signal AI wasn't paying attention.

**Content-Tone Color Calibration.** Different emotional registers deserve different palettes:

| Tone | `primary_color` | Feel |
|------|-----------------|------|
| Contemplative / Research | `#7C6853` warm brown | Grounded, editorial |
| Technical / Engineering | `#3D5A80` navy | Precise, authoritative |
| Business / Data | `#0F7B6C` deep teal | Confident, forward |
| Narrative / Annual | `#B45309` amber | Warm, momentum |

**Pre-output check:** *"If you told someone 'an AI wrote this', would they believe it? If yes — find the most generic-looking part and redesign it."*

### 7. Contract Enforcement Before Render

v1.20.0's guard validation pipeline introduces a new principle: **intercept invalid IR before rendering, not repair after.**

```
IR → Guard (validate + downgrade) → Renderer → HTML
              ↑
              Block invalid input
```

Three sub-principles:

| Principle | Implementation | Meaning |
|-----------|----------------|---------|
| **Zero-Drift Resolution** | Guard and renderer share the same `resolve_report_class` logic | Validation and rendering never diverge |
| **Graceful Degradation** | Invalid components auto-downgrade (kpi→callout, chart→table, timeline→list) | Don't fail outright; fall back to safe substitute |
| **Traceability** | `<meta name="ir-hash">` embeds IR hash in HTML | Output is traceable to source IR |

**Why it matters:**
- Earlier `--review` was post-hoc repair; guard is pre-hoc interception
- Prevents invalid IR from entering the render pipeline and producing unpredictable output
- Zero-drift ensures guard's judgment and renderer's behavior stay aligned

v1.23.0 extends this boundary to final HTML with `scripts/html_quality_gate.py`: rendered files must keep the standard shell controls, the declared theme's CSS fingerprint, typography/layout markers, and only real quantitative KPI values. This catches failures where IR is legal but the HTML hand-rolls a theme, drops summary/export controls, or smuggles placeholder/status text into KPI cards.

### 8. Eval as Quality Boundary, Not Quality Score

v1.15.0's eval workflow embodies this principle: **evals define boundaries, not scores.**

```
compression → ir_contract → async_readability → render_integrity
     ↓             ↓              ↓                  ↓
   Source→IR     IR Spec        Reading UX          HTML Integrity
```

| Layer | What it checks | Where to fix |
|-------|----------------|--------------|
| compression | report_class, audience, decision_goal declared | SKILL.md |
| ir_contract | timeline is real time, kpi is short value, chart schema legal | rendering-rules.md + contract_checks.py |
| async_readability | BLUF, heading stack, takeaway after data | review-checklist.md |
| render_integrity | shell IDs, report-summary JSON, no `:::` leak, theme fidelity | html-shell-template.md + html_quality_gate.py |

**Failure Map rule:** Every real production failure → one new eval case. Not post-hoc discussion about "feels wrong", but direct pointer to the layer that needs fixing.

**Rubric design:** Output structured JSON (verdict + scores + findings), not fuzzy scores. Downstream agents can parse and auto-repair.

### 9. Contract Checks as Programmable Guardrails

`contract_checks.py` makes IR spec executable:

```python
# Timeline must be real dates
DATE_PATTERNS = [YYYY-MM-DD, YYYY-MM, Q1-4 YYYY, Day N, Week N]

# KPI value must be a short real quantitative value; placeholders/status-only words fail
def is_short_kpi_value(value): ...

# Placeholder pattern recognition
PLACEHOLDER_RE = r"\[(INSERT VALUE|数据待填写)\]"
```

**Design principles:**
- Spec declared in SKILL.md, validated in contract_checks.py
- Guard calls contract_checks, zero drift
- Every component has `auto_downgrade_target`: safe fallback path when invalid

Final HTML has a separate gate:

```bash
python scripts/html_quality_gate.py report.html
```

---

## Install

### Claude Code

Tell Claude: "Install https://github.com/kaisersong/kai-report-creator"

Or manually:
```bash
git clone https://github.com/kaisersong/kai-report-creator ~/.claude/skills/kai-report-creator
```

Restart Claude Code. Use as `/report`.

### OpenClaw

```bash
# Via ClawHub (recommended)
clawhub install kai-report-creator

# Or manually
git clone https://github.com/kaisersong/kai-report-creator ~/.openclaw/skills/kai-report-creator
```

### Release Downloads

The current release is **v1.23.3**. Download source bundles from GitHub Releases:

- https://github.com/kaisersong/kai-report-creator/releases/tag/v1.23.3
- https://github.com/kaisersong/kai-report-creator/archive/refs/tags/v1.23.3.zip

---

## Usage

### Commands

| Command | Description |
|---------|-------------|
| `/report --from file.md` | Generate from an existing document |
| `/report --from URL` | Generate from a web page |
| `/report --plan "topic"` | Create a `.report.md` outline first |
| `/report --generate file.report.md` | Render an outline to HTML |
| `/report --review file.html` | Refine an existing report |
| `/report --themes` | Preview the bundled theme gallery |
| `/report --bundle --from file.md` | Offline HTML with inlined CDN assets |
| `/report --theme <name> --from file.md` | Use a built-in or custom theme |
| `/report [content]` | One-step: generate from description |

### Typical Workflows

**One-step generation:**
```
/report --from meeting-notes.md
/report --from https://example.com/data-page --output market-analysis.html
```

**Two-stage workflow (complex content):**
```
/report --plan "Q3 Sales Summary" --from q3-data.csv
# edit q3-sales-summary.report.md if needed
/report --generate q3-sales-summary.report.md
```

**Review and refine:**
```
/report --review market-analysis.html
```

### Review Mode

Run `--review` to improve existing reports with 13 checkpoints:

```
/report --review market-analysis.html
```

**Behavior:**
1. Load `references/review-checklist.md`
2. Apply hard rules automatically
3. Apply AI-advised rules when confidence is high
4. Save refined HTML back to file

If you want a structured change summary after review, use `references/review-report-template.md`.

**One-pass automatic refinement** — not interactive approval.

`--generate` also runs this checklist as a **silent final review** before writing HTML.

This review flow is the built-in **13-checkpoint review system**.

**13 Checkpoints:**
- KPI value length
- Badge coverage
- Summary card poster hierarchy
- Timeline content validity
- Export menu completeness
- BLUF opening (Bottom Line Up Front)
- Heading stack logic
- Anti-template section headings
- Prose-wall cleanup
- Takeaway-after-data
- Insight-over-data
- Scan-anchor coverage
- Conditional reader guidance

---

## Eval Workflow

This repo now includes a small, repo-contained eval harness focused on **async reading quality**, not slide-style presenter flow.

Run it with:

```bash
python scripts/run-report-evals.py --root . --packet-dir .tmp/eval-packets
```

What it does:

- Runs deterministic checks for `compression`, `ir_contract`, and `render_integrity`
- Emits rubric-ready JSON packets for `async_readability` instead of hiding quality behind vibes
- Uses repo-contained cases from `evals/report-cases.csv`

Key files:

- `evals/report-cases.csv` — living case set
- `evals/rubric.schema.json` — structured grader output contract
- `evals/failure-map.md` — where to fix each layer when a case fails
- `evals/cases/*` — source + IR artifacts for each case

### Captured-Run Skill Evals

`scripts/run-report-evals.py` checks repo-contained source/IR/HTML artifacts. It is a deterministic regression gate, not a full agent-run skill eval.

For OpenAI-style skill evals, run the captured-run harness against checked-in
fixtures or recorded traces:

```bash
python scripts/run-skill-evals.py --runner fixture --format json --json-out .tmp/skill-evals/results.json
```

The harness reads `evals/report-skill-prompts.csv`, replays deterministic
fixture metrics by default, and scores each case across four categories:

- Outcome: report task completion and valid artifacts.
- Process: skill flow, reference loading, guard validation, and HTML quality gate evidence from normalized runner metrics.
- Style: template/theme/content conventions plus structured rubric grading for positive captured-run cases.
- Efficiency: shell command count, repeated failures, token budgets, and wall-clock budget.

Release verification also uses fixture mode by default, so it does not require
Codex, Claude, Qoder, network access, model auth, or any live agent environment:

```bash
python scripts/verify-release.py --include-skill-evals
```

Positive fixture cases use checked-in `tests/fixtures/skill-evals/*-style-rubric.json`.
If a positive case has no rubric, the harness marks it `eval_complete: false`
and fails the case instead of hiding the coverage gap behind a green score.

Saved baselines live under `evals/baselines/`. Compare a fresh run against the
checked-in baseline before changing skill behavior:

```bash
python scripts/run-skill-evals.py --runner fixture \
  --artifact-dir .tmp/check-skill-evals-fixture-artifacts \
  --format json \
  --json-out .tmp/check-skill-evals-fixture.json

python scripts/compare-skill-eval-baseline.py \
  --old evals/baselines/2026-05-17-skill-evals-fixture.json \
  --new .tmp/check-skill-evals-fixture.json \
  --format text
```

`evals/baselines/2026-05-17-baseline-summary.md` records the saved scores:
the deterministic fixture baseline passes 6/6 with `incomplete: 0`,
`average_score: 100.0`, and Style `25.0`, while the hardened Codex live
baseline is archival evidence of one manual runner sample. It is not part of
default release verification. The comparator checks pass/fail state,
`eval_complete`, total score, and each category score.

Manual live sampling is still possible, but it must be explicit because it
depends on the local runner environment:

```bash
python scripts/run-skill-evals.py --runner codex --run-live --format json --json-out .tmp/skill-evals/codex-live.json
```

For complex reports, keep these IR frontmatter fields so evals can measure compression quality directly: `report_class`, `audience`, `decision_goal`, `must_include`, `must_avoid`.

Maintainers can run the full release verification chain from one entry point:

```bash
python scripts/verify-release.py --root .
```

For a single generated report, run the final HTML gate directly:

```bash
python scripts/html_quality_gate.py report.html
```

---

## Features

### Core

- **Zero dependencies** — single `.html` file, works offline with `--bundle`
- **8 built-in themes** — corporate-blue, minimal, dark-tech, dark-board, data-story, newspaper, regular-lumen, fangsong
- **9 component types** — KPIs, charts (ECharts), tables, timelines, diagrams, code blocks, callouts, images, lists
- **Report Review System** — 13-checkpoint automatic refinement
- **AI-readable output** — 3-layer machine-readable structure for downstream agents

### Interaction

- **Summary card overlay** — `⊞ Summary` button opens a poster-style title card with abstract, KPIs, and section summaries
- **Built-in export** — Print/PDF, PNG (Desktop), PNG (Mobile) via ↓ Export button
- **Mobile responsive** — adapts to any screen size
- **Bilingual** — full zh/en support with auto-detection

### Output

- **Custom themes** — `themes/<name>/theme.css` + `--theme <name>`
- **Custom templates** — `template: ./my-brand-template.html` with placeholders
- **Theme overrides** — `theme_overrides.primary_color` in frontmatter
- **Offline bundles** — `--bundle` inlines all CDN assets

---

## Themes

| Theme | Vibe | Best For |
|-------|------|----------|
| **corporate-blue** | Warm premium | Business reports, executive summaries |
| **minimal** | Clean, academic | Research papers, analysis |
| **dark-tech** | Engineering feel | Ops reports, technical docs |
| **dark-board** | Dashboard style | Architecture, metrics dashboards |
| **data-story** | Narrative-driven | Annual reports, growth stories |
| **newspaper** | Editorial | Industry analysis, newsletters |
| **regular-lumen** | Poster-style, warm-toned | Periodic work reports (日报/周报/月报 · 本周期复盘 + 下周期规划) · Kami-style reading experience |
| **fangsong** | Traditional Chinese, warm brown | Formal reports with FangSong typography (标题衬线仿宋 + 正文非衬线仿宋) |

### corporate-blue

Warm business theme with subtle gradients. Default for executive-facing reports. Uses restrained primary color on key elements only — KPI values, section links, and one accent block per report.

**Why it works:** Primary color appears on ≤3 element types, creating clear visual hierarchy without the "AI flooded everything with blue" look.

---

## Creating Custom Themes

1. Create `themes/your-theme/` directory
2. Write `theme.css` with CSS custom properties:
```css
:root {
  --primary: #B45309;
  --bg: #FAFAF9;
  --text: #1C1917;
  --font-heading: "Merriweather", serif;
}
```
3. Run: `/report --theme your-theme --from file.md`

**Example theme bundled:** `themes/warm-editorial/`

---

## Report Format (IR)

For complex reports, use `--plan` to generate a `.report.md` intermediate file.

**Frontmatter:**
```yaml
---
title: Q3 Sales Report
theme: corporate-blue
author: Sales Team
date: 2024-10-08
lang: en
toc: true
abstract: "Q3 revenue grew 12% YoY with record new customer acquisition."
---
```

**Component blocks:**
```
:::kpi
items:
  - label: Revenue
    value: $2.45M
    delta: ↑12%
  - label: New Clients
    value: 183
    delta: ↑8%
:::

:::chart type=line title="Monthly Revenue"
labels: [Jul, Aug, Sep]
datasets:
  - label: Actual
    data: [780000, 820000, 850000]
:::

:::timeline
- 2024-10-15: Q4 targets released
- 2024-10-31: Product launch
:::

:::callout type=tip
Key insight goes here.
:::
```

Badges remain optional HTML chips for scanability; they are not standalone IR tags. Timelines are strict chronological components and should use explicit time tokens such as `2024-10-15` or `Q4 2024`.

---

## For AI Agents

Other agents can call report-creator programmatically:

```
# From document
/report --from ./analysis.md --output summary.html

# From URL
/report --from https://example.com/report-page --theme data-story

# Two-step with review
/report --plan "Market Analysis" --from ./raw-data.md
/report --generate market-analysis.report.md
/report --review report.html
```

**Extracting structured data:**
```python
from bs4 import BeautifulSoup
import json

soup = BeautifulSoup(open("report.html"), "html.parser")
summary = json.loads(soup.find("script", {"id": "report-summary"}).string)
print(summary["title"], summary["kpis"])
```

---

## Export

Every report has a built-in **↓ Export** button (bottom-right):

| Option | How it works |
|--------|--------------|
| Print / PDF | Opens browser print dialog → Save as PDF |
| PNG (Desktop) | Full page at 2× resolution |
| PNG (Mobile) | Report body at 1170px wide (≈3× iPhone) |

**Tip:** Uncheck "Headers and footers" in print dialog for clean PDFs.

---

## Use Case: Daily Work Report → Telegram

```
Generate a report of today's work in dark-board style, export as IM image, send via Telegram.
```

OpenClaw will:
1. Summarize tasks, decisions, next steps
2. Render to `dark-board` HTML with KPIs and timeline
3. Screenshot as 800px JPEG (animations auto-disabled for headless capture)
4. Send directly to your Telegram channel

---

## Examples

| File | Description |
|------|-------------|
| [examples/en/business-report.html](examples/en/business-report.html) | Q3 Sales Report (EN) |
| [examples/en/business-report-reviewed-demo.html](examples/en/business-report-reviewed-demo.html) | Reviewed demo with stronger BLUF (EN) |
| [examples/zh/business-report.html](examples/zh/business-report.html) | Q3 销售业绩报告（中文）|
| [examples/review-reports/](examples/review-reports/) | Structured review report examples |

---

## Requirements

No dependencies. Works in any modern browser.

For offline bundles with `--bundle`: internet connection needed once to inline CDN assets.

---

## Compatibility

| Platform | Version | Install path |
|----------|---------|--------------|
| Claude Code | any | `~/.claude/skills/kai-report-creator/` |
| OpenClaw | ≥ 0.9 | `~/.openclaw/skills/kai-report-creator/` |

---

## Version History

**v1.23.3** — No-agent eval gate release: make release verification use fixture skill evals by default, document that skill evals do not require Codex/Claude/Qoder/model auth/network access, and reject non-fixture runners unless a recorded trace or explicit live flag is provided.

**v1.23.2** — Complete fixture rubric release: add checked-in positive-case style rubrics, require `eval_complete` for green captured-run results, compare completeness regressions, and refresh the deterministic fixture baseline to 6/6 passing at 100.0 average with Style 25.0.

**v1.23.1** — Captured-run skill eval release: add OpenAI-style skill eval prompts, fixture and Codex trace runners, normalized timeout handling, baseline comparison, saved fixture/live baselines, release-verification integration, and README guidance for comparing future skill changes against the saved scores.

**v1.23.0** — Final HTML quality gate release: add `scripts/html_quality_gate.py` to validate rendered shell IDs, theme CSS fidelity, regular-lumen/fangsong typography and layout markers, and KPI values; require every KPI card to use a real quantitative value; remove forced placeholder KPIs from periodic reports; fix dark-board status KPI examples; and add regression coverage for the failure modes.

**v1.22.0** — Reference split and validator profile release: split oversized shell and rendering contracts into route-specific child references, add a reference index and validator-facing usage boundary artifacts, add a generated-cache cleanup gate to release verification, and document golden eval cases for external validators.

**v1.21.2** — Packaging cleanup: remove the tracked `docs/` directory from GitHub and ClawHub packages, ignore the local docs symlink, and keep project documentation in `/Users/song/projects/mydocs/report-creator`.

**v1.21.1** — Skill prompt budget release: compress `SKILL.md` into a thin routing contract under 320 lines, move shell metadata and duplicate-date details into references, add a size-budget regression test, and include that test in the fast verification path.

**v1.21.0** — Late-context isolation and release hardening: require `--generate` to extract exactly one IR block from context, add context isolation helpers plus late-context eval runner, expand release verification and fast-test coverage, normalize footer/watermark shell metadata, and tighten bilingual doc-sync guardrails.

**v1.20.1** — Design philosophy expansion: added §6 (Contract Enforcement Before Render), §7 (Eval as Quality Boundary), §8 (Contract Checks as Programmable Guardrails) documenting the guard pipeline and eval workflow principles.

**v1.20.0** — Guard validation pipeline: Python guard (`scripts/guard_validate.py`) runs before HTML rendering with zero-drift report_class resolution, auto-downgrade invalid blocks (kpi→callout, chart→table, timeline→list, diagram→callout), IR hash embedding in `<meta name="ir-hash">` for traceability, and guard integration tests.

**v1.18.0** — Theme routing fixed for work reports: priority-ordered keyword matching now correctly routes weekly/daily/monthly reports to `regular-lumen` (first priority) and generic work progress reports to `corporate-blue` (fallback), instead of misrouting to dark-tech/dark-board due to overlapping keywords like "项目/进展/状态".

**v1.17.1** — Resolve ClawHub version conflict (merge ClawHub v1.16.1 updates).

**v1.17.0** — Merge ClawHub v1.16.1 updates + add watermark feature.

**v1.16.0** — Minimal Kami borrowing, fully landed: add hard `anti-patterns.md` and `diagram-decision-rules.md`, introduce silent `spec-loading-matrix.md` plus optional `archetype` routing hints, add maintainer-side `scripts/verify-release.py`, and raise the Windows release suite to 134 passing tests.

**v1.15.0** — IR contract hardening and eval foundation: split failures into `invalid_syntax` / `invalid_semantics` / `contract_conflict`, formalize `kpi` / `chart` / `timeline` / `diagram` schemas, demote `badge` to optional enhancement, add repo-contained eval cases plus `run-report-evals.py`, fix install paths to `kai-report-creator`, and bring the Windows release suite to 125 passing tests.

**v1.14.2** — Export menu completeness enforced in the standard generate flow: require print/desktop/mobile/IM export entries plus JS bindings during pre-write shell validation and silent final review; add shell contract coverage so reports no longer regress to partial export menus.

**v1.14.1** — Print/PDF export fix: preserve report background and force animated KPI/data blocks visible during print export; add print export regression coverage.

**v1.14.0** — ECharts standard: unified all charts on ECharts (was Chart.js), added bar/line/radar/pie ECharts templates, grid bottom rule for rotated labels, line data integrity rule, 14 new chart rendering contract tests.

**v1.13.0** — L2 HTML shell structure validation: 10 mandatory elements check in SKILL.md pre-write, design-quality.md §8, 30 new HTML shell contract tests (BUG-001 fix).

**v1.9.0** — Report Review System: `--review` with 13 checkpoints; silent final review in `--generate`; L0/L1 quality layering.

**v1.8.3** — KPI overflow fix: `.kpi-suffix` for long units; rendering rules updated.

**v1.8.2** — Restrained color system: shared badges default to neutral; `data-report-mode="comparison"` for entity colors.

**v1.8.1** — Export background fix: resolve `--bg` before fallback.

**v1.8.0** — Custom themes: `--theme <name>` loads `themes/<name>/`.

**v1.6.0** — Sankey chart: `:::chart type=sankey` for flow diagrams.

**v1.5.0** — Design Quality Baseline: 90/8/2 color law, KPI grid rules, content-tone calibration.

**v1.4.0** — Summary card overlay with poster entry card behavior and KPI/section summaries.

**v1.3.0** — Zero-dependency animations: staggered KPI bounce, timeline slide-in.

**v1.0.0** — Initial release with 6 themes and 9 component types.


path: README.zh-CN.md
content: # kai-report-creator

> 你有数据、决策和截止日期，但决策者没时间读完所有材料。AI 能生成报告，但往往一眼就能看出是模板产物——章节标题像填空、主色泛滥在六种元素上、KPI 不管几个都是三列。kai-report-creator 一行命令输出"异步友好"的报告：扔一个文档或链接，选个主题，得到单文件 HTML——决策者扫 30 秒就能抓住要点。下游 AI 智能体也能解析：输出内嵌三层机器可读结构。
>
> **[看这份指南本身生成的报告 →](https://kaisersong.github.io/kai-report-creator/examples/zh/kai-report-creator-guide.html)** — 本文档由 kai-report-creator 自己生成。

适用于 [Claude Code](https://claude.ai/claude-code) 和 [OpenClaw](https://openclaw.ai) 的报告生成技能，将文档或结构化大纲转换为精美的独立 HTML 报告。

[English](README.md) | 简体中文

---

## 效果展示

点击截图可在浏览器中直接打开演示：

<table>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/zh/corporate-blue.html"><img src="templates/screenshots/corporate-blue.png" width="360" alt="corporate-blue"/><br/><b>corporate-blue</b></a><br/><sub>暖感商务 · 高级汇报</sub></td>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/zh/minimal.html"><img src="templates/screenshots/minimal.png" width="360" alt="minimal"/><br/><b>minimal</b></a><br/><sub>研究 · 学术论文</sub></td>
</tr>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/zh/dark-tech.html"><img src="templates/screenshots/dark-tech.png" width="360" alt="dark-tech"/><br/><b>dark-tech</b></a><br/><sub>工程 · 运维</sub></td>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/zh/dark-board.html"><img src="templates/screenshots/dark-board.png" width="360" alt="dark-board"/><br/><b>dark-board</b></a><br/><sub>看板 · 架构</sub></td>
</tr>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/zh/data-story.html"><img src="templates/screenshots/data-story.png" width="360" alt="data-story"/><br/><b>data-story</b></a><br/><sub>年度报告 · 增长叙事</sub></td>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/zh/newspaper.html"><img src="templates/screenshots/newspaper.png" width="360" alt="newspaper"/><br/><b>newspaper</b></a><br/><sub>行业分析 · 通讯</sub></td>
</tr>
<tr>
<td align="center"><a href="https://kaisersong.github.io/kai-report-creator/templates/zh/regular-lumen.html"><img src="templates/screenshots/regular-lumen.png" width="360" alt="regular-lumen"/><br/><b>regular-lumen</b></a><br/><sub>周期报告 · 周报/日报/月报</sub></td>
</tr>
</table>

预览主题图库：`/report --themes` → 打开 `report-themes-preview.html`

---

## 设计理念：Skills 作为领域 Harness 工程

本节介绍 report-creator 的设计原则——既包括作为用户工具的设计，也包括作为 Claude Code 技能的设计。这些原则对任何编写技能的人都有参考价值。

### 一、渐进式披露

技能文件每次被调用时，会完整加载到 AI 的上下文窗口中。文件大小直接影响 AI 的专注程度。

report-creator 的解法是：**规则放在技能里，资产放在文件里**：

```
--plan        → 只需 IR 规则 + 组件语法；不涉及 CSS 和 HTML Shell
--generate    → 只读取一个主题 CSS + 一个共享 CSS；其他主题文件保留在磁盘
--themes      → 直接读取预构建的预览 HTML；技能不需要解析内部细节
```

**最终效果：** `--plan` 调用从不接触 CSS；单主题生成只加载选中的主题。

这是渐进式披露原则在 AI 上下文管理中的应用：**在需要信息的那一刻才披露，而不是提前全部加载**。

### 二、能力增长先减少上下文负担

新增能力时，第一问不是“还能往上下文里再塞点什么”，而是“能不能先减少生成路径上的 prompt/context 负担？”

report-creator 应优先选择三种做法：

- **`SKILL.md` 薄路由。** 技能文件只保留路由和契约边界，只加载当前路径真正需要的文件。长对话、长 planning 不要直接拖进渲染阶段。
- **结构化压缩优先于原始 prose。** 优先把重复且重要的信息沉淀成 `.report.md`、`BRIEF.json` 风格 brief、显式契约或路由元数据，而不是继续补 prompt 段落。只要一个信息会被反复依赖，就应该给它字段、schema 或确定性转换。
- **质量机制后移。** 如果新增质量机制会增加生成阶段的认知负担，它就更适合放在 guard validation、渲染后 review 或 eval，而不是放进 prompt 链路。

这不是为了形式上的简洁，而是为了可靠性。prompt 越臃肿，路由越模糊，真实契约越容易被淹没，模型越可能在最需要精确的时候丢掉约束。

### 三、硅碳协作设计

report-creator 在输入端和输出端都为人机协作而设计。

**输入端：IR 作为人机契约**

`.report.md` 中间表示是人类意图与 AI 渲染之间的契约：

```
---                         ← Frontmatter：文档身份
title: Q3 销售报告             这是什么？谁写的？应该如何呈现？
theme: corporate-blue          声明意图，不包含内容。
---

## 章节标题               ← 正文：人类叙述
普通 Markdown 文本...        自然书写，AI 渲染为语义化 HTML。

:::kpi                     ← 组件块：结构化数据
- 营收: ¥2,450万 ↑12%       机器可解析，AI 按确定性模板渲染。
:::
```

人类可以自然地书写和编辑，无需了解 HTML。AI 对每个层次使用不同的渲染规则——正文做 Markdown 转换，组件块做模板渲染。IR 文件可检查、可版本管理。

**输出端：三层 AI 可读结构**

每份生成的 HTML 都内嵌机器可读结构：

```
第一层 — <script id="report-summary">    文档级：标题、摘要、所有 KPI
第二层 — data-section data-summary       章节级：标题 + 一句话摘要
第三层 — data-component data-raw         组件级：原始 KPI/图表/表格数据
```

AI 智能体读取第一层即可获得 3 秒全局概览，进入第二层获取章节级理解，仅在需要特定数据时才访问第三层。

**渐进式披露为双物种设计：** IR 为碳基读者揭示结构，HTML 为硅基读者揭示数据。同一原则应用两次——一次为人，一次为机器。

### 四、视觉节奏即认知节拍

优秀的报告遵循一种节奏：**正文建立背景，组件传递数据，正文再做解读**。

技能强制执行视觉节奏规则：不允许连续出现 3 个以上只有纯文字的章节，每 4-5 个章节必须包含一个按内容类型选择的"视觉锚点"——callout、时间线、流程图、KPI 网格或图表。这不是美学偏好，而是认知节拍的需要。大段密集文字让读者疲惫；没有背景的数据让读者迷失。交替出现才能形成阅读流。

这也是 IR 组件块语法（`:::tag ... :::`）被设计得如此直观的原因：作者扫一眼 IR 文件就能看出数据密集的章节在哪里。

### 五、报告是异步决策支持

幻灯片默认有讲述者在场，报告没有。报告必须独立承受第一次阅读：读者通常只会扫开头、看标题、瞥一眼数据，然后在不到一分钟内决定这份文档值不值得继续读。

这个约束直接改变了产品设计：

- `--review` 被设计成**一次性自动优化阶段**，而不是交互式编辑回路
- `--generate` 在写出 HTML 前，会执行同一套 **静默终审**
- 检查体系被拆成 **L0 视觉/渲染质量** 和 **L1 内容/阅读质量**
- 只有 AI 能稳定判断、且能稳定修复的规则，才会进入系统

**判断标准：** 一份生成报告应该显著降低读者理解成本。只要决策者能通过快速扫读看明白结论、证据和下一步动作，这份报告就达标了。

### 六、设计质量基线：拒绝 AI 审美

生成报告最大的敌人，是让人一眼就看出"这是 AI 做的"——每个元素都用相同的圆角、主色泛滥在六种元素上、KPI 不管几个都是三列、章节标题听起来像模板。

`references/design-quality.md` 编码了四个维度的约束：

**90/8/2 配色法则。** 90% 中性面（背景、正文），8% 结构色（一个强调块、边框），2% 弹点（最多 1-2 处精准命中）。当主色同时出现在标题、KPI、图表、callout、目录和标签上时，它就不再是信号，而是噪音。

**10:1 字号张力。** 页面上最大的元素应该是最小可读元素的 10 倍以上。报告标题应该有"锚点感"（2.8–4rem），而非"标签感"。所有元素集中在 15–22px 区间时，页面没有层次，看起来像表格导出。

**KPI 网格分列规则。** 默认不是 3 列。4 个 KPI 应该是 2×2。英雄指标应该用 `2fr 1fr 1fr`。7 个以上需要视觉分组分隔线。无论几个都用三列是模板气息。

**内容气质色调校准。** 不同情绪基调需要不同配色：

| 气质 | `primary_color` | 感受 |
|------|-----------------|------|
| 思辨 / 研究 | `#7C6853` 暖棕 | 沉稳，编辑感 |
| 技术 / 工程 | `#3D5A80` 藏蓝 | 精准，权威感 |
| 商业 / 数据 | `#0F7B6C` 深青绿 | 自信，向前感 |
| 叙事 / 年度 | `#B45309` 琥珀 | 温暖，势能感 |

**输出前自检：** *"如果告诉别人这是 AI 写的，他们会立刻相信吗？如果会——找出最像模板的那个地方，重新设计它。"*

### 七、最终 HTML 也是质量边界

v1.23.0 将质量门从 IR 延伸到最终 HTML：`scripts/html_quality_gate.py` 会校验渲染后的标准 shell 控件、声明主题的 CSS 指纹、字体/布局标记，以及 KPI 是否都是真实量化值。这样可以拦住「IR 合法，但 HTML 手写主题、丢了摘要/导出控件、或者把占位符/状态词塞进 KPI 卡片」这类回归。

这个 gate 直接覆盖这次暴露的问题：没有真实数字就不应该渲染 KPI；`regular-lumen` 必须保留自己的字体、背景、`.report-wrapper` 宽度与 `.main-with-toc` 布局，而不是退回成通用 body 样式。

---

## 安装

### Claude Code

对 Claude 说：「安装 https://github.com/kaisersong/kai-report-creator」

或手动：
```bash
git clone https://github.com/kaisersong/kai-report-creator ~/.claude/skills/kai-report-creator
```

重启 Claude Code，使用 `/report` 调用。

### OpenClaw

```bash
# 通过 ClawHub 安装（推荐）
clawhub install kai-report-creator

# 或手动克隆
git clone https://github.com/kaisersong/kai-report-creator ~/.openclaw/skills/kai-report-creator
```

### Release 下载

当前发布版本是 **v1.23.3**。可以从 GitHub Releases 下载源码包：

- https://github.com/kaisersong/kai-report-creator/releases/tag/v1.23.3
- https://github.com/kaisersong/kai-report-creator/archive/refs/tags/v1.23.3.zip

---

## 使用方式

### 基本命令

| 命令 | 说明 |
|------|------|
| `/report --from file.md` | 从已有文档生成报告 |
| `/report --from URL` | 从网页生成报告 |
| `/report --plan "主题"` | 先生成 `.report.md` 大纲文件 |
| `/report --generate file.report.md` | 将大纲渲染为 HTML |
| `/report --review file.html` | 用 Review 清单优化已有报告 |
| `/report --themes` | 预览内置主题图库 |
| `/report --bundle --from file.md` | 离线 HTML，内联所有 CDN 资源 |
| `/report --theme <name> --from file.md` | 指定使用内置或自定义主题 |
| `/report [内容]` | 一步生成：根据描述直接生成报告 |

### 典型工作流

**一步生成：**
```
/report --from meeting-notes.md
/report --from https://example.com/data-page --output market-analysis.html
```

**两阶段工作流（复杂内容）：**
```
/report --plan "Q3 销售总结" --from q3-data.csv
# 如需要，编辑生成的 q3-sales-summary.report.md
/report --generate q3-sales-summary.report.md
```

**Review 优化：**
```
/report --review market-analysis.html
```

### Review 模式

运行 `--review`，用 13 项检查点对已有报告做一次性自动优化：

```
/report --review market-analysis.html
```

**行为：**
1. 加载 `references/review-checklist.md`
2. 自动应用 hard rules
3. 高置信度时应用 ai-advised rules
4. 将优化后的 HTML 写回原文件

如果你想输出结构化修改摘要，可使用 `references/review-report-template.md`。

这是**一次性自动优化**流程，不是交互式确认流程。

`--generate` 也会在写出 HTML 前执行同一套 **静默终审**。

**13 项检查点：**
- KPI 值长度
- badge 覆盖位置
- 摘要卡海报层级
- timeline 内容有效性
- 导出菜单完整性
- BLUF 开场（结论先行）
- 标题栈逻辑
- 去模板腔章节标题
- 文字砖块拆解
- 数据后的 takeaway
- 洞察优于数据
- 扫读锚点覆盖
- 条件触发的读者指引

---

## Eval 工作流

现在 repo 里已经内置一套轻量 eval 基础设施，重点测的是**异步阅读质量**，不是 slide 式宣讲节奏。

运行命令：

```bash
python scripts/run-report-evals.py --root . --packet-dir .tmp/eval-packets
```

它会做三件事：

- 对 `compression`、`ir_contract`、`render_integrity` 跑 deterministic checks
- 为 `async_readability` 输出 rubric-ready JSON packet，而不是只靠主观点评
- 统一使用 `evals/report-cases.csv` 里的 repo 内样本

关键文件：

- `evals/report-cases.csv` — 持续扩充的 case 集
- `evals/rubric.schema.json` — grader 输出 JSON 契约
- `evals/failure-map.md` — 某一层失败后应该去哪里修
- `evals/cases/*` — 每个 case 的 source + IR 工件

### 捕获运行轨迹的 Skill Evals

`scripts/run-report-evals.py` 检查 repo 内已有的 source/IR/HTML 工件。它是 deterministic regression gate，不是完整的 agent-run skill eval。

按 OpenAI eval-skills 的四类目标评测时，使用 checked-in fixture 或已捕获 trace 运行 captured-run harness：

```bash
python scripts/run-skill-evals.py --runner fixture --format json --json-out .tmp/skill-evals/results.json
```

该命令读取 `evals/report-skill-prompts.csv`，默认回放确定性的 fixture metrics，并按四类目标评分：

- Outcome：任务是否完成，报告工件是否有效。
- Process：是否按 skill 流程读取 reference、运行 guard validation 和 HTML quality gate。
- Style：是否符合模板、主题、内容和异步阅读约定；正向 captured-run case 必须接入结构化 rubric。
- Efficiency：shell 命令数量、重复失败、token 预算和总耗时。

release verification 默认也使用 fixture runner，因此不依赖 Codex、Claude、Qoder、网络、模型登录或任何 live agent 环境：

```bash
python scripts/verify-release.py --include-skill-evals
```

正向 fixture case 使用仓库内的 `tests/fixtures/skill-evals/*-style-rubric.json`。
如果缺 rubric，harness 会把 case 标成 `eval_complete: false` 并失败，不再用绿色分数掩盖覆盖缺口。

已保存的基线放在 `evals/baselines/`。后续修改 skill 行为前，先用新结果和基线比较：

```bash
python scripts/run-skill-evals.py --runner fixture \
  --artifact-dir .tmp/check-skill-evals-fixture-artifacts \
  --format json \
  --json-out .tmp/check-skill-evals-fixture.json

python scripts/compare-skill-eval-baseline.py \
  --old evals/baselines/2026-05-17-skill-evals-fixture.json \
  --new .tmp/check-skill-evals-fixture.json \
  --format text
```

`evals/baselines/2026-05-17-baseline-summary.md` 记录了保存分数：
确定性的 fixture baseline 为 6/6 通过，`incomplete: 0`，平均分
`100.0`，Style `25.0`；加固后的 Codex live 基线只是一次手动 runner
采样的归档证据，不属于默认 release verification。
comparator 会比较 pass 状态、`eval_complete`、总分和四个分类分数。

如果确实要做 live 采样，必须显式打开，因为它依赖本机 runner 环境：

```bash
python scripts/run-skill-evals.py --runner codex --run-live --format json --json-out .tmp/skill-evals/codex-live.json
```

对复杂报告，建议在 IR frontmatter 里保留这些字段，方便直接评估压缩质量：`report_class`、`audience`、`decision_goal`、`must_include`、`must_avoid`。

维护者可以用一个入口跑完整发布校验链：

```bash
python scripts/verify-release.py --root .
```

如果只检查单个生成后的 HTML，直接运行最终 HTML 质量门：

```bash
python scripts/html_quality_gate.py report.html
```

---

## 功能特性

### 核心功能

- **零依赖** — 单个 `.html` 文件，`--bundle` 模式支持离线
- **8 套内置主题** — corporate-blue、minimal、dark-tech、dark-board、data-story、newspaper、regular-lumen、fangsong
- **9 种组件类型** — KPI 指标、图表、表格、时间线、流程图、代码块、标注、图片、列表
- **Report Review 系统** — 13 项检查点自动优化
- **AI 可读输出** — 三层机器可读结构

### 交互功能

- **摘要卡片** — 标题旁 `⊞ 摘要卡` 按钮，展示海报式标题卡、摘要、KPI 和章节摘要
- **内置导出** — ↓ Export 按钮，支持 Print/PDF、PNG (Desktop)、PNG (Mobile)
- **移动端自适应** — 适配任意屏幕尺寸
- **中英双语** — 自动检测语言

### 输出功能

- **自定义主题** — `themes/<name>/theme.css` + `--theme <name>`
- **自定义模板** — `template: ./my-brand-template.html`
- **主题覆盖** — frontmatter 中设置 `theme_overrides.primary_color`
- **离线打包** — `--bundle` 内联所有 CDN 资源

---

## 主题

| 主题 | 风格 | 适合场景 |
|------|------|----------|
| **corporate-blue** | 暖感商务 | 商业报告、高管汇报 |
| **minimal** | 简洁学术 | 研究论文、分析报告 |
| **dark-tech** | 工程感 | 运维报告、技术文档 |
| **dark-board** | 看板风格 | 架构图、指标看板 |
| **data-story** | 叙事驱动 | 年度报告、增长故事 |
| **newspaper** | 编辑感 | 行业分析、通讯 |
| **regular-lumen** | Poster风格，暖色调 | 周期性工作报告（日报/周报/月报 · 本周期复盘 + 下周期规划）· Kami式阅读体验 |
| **fangsong** | 传统中文，暖棕调 | 正式公文报告 · 标题衬线仿宋 + 正文非衬线仿宋 |

### corporate-blue

暖感商务主题，适用于面向高管的报告。主色克制地用于关键元素——KPI 数值、章节链接、每报告一个强调块。主色最多出现在 3 类元素上，形成清晰的视觉层次，避免"AI 把所有东西都染蓝"的效果。

---

## 创建自定义主题

1. 创建 `themes/你的主题/` 目录
2. 编写 `theme.css`，使用 CSS 自定义属性：
```css
:root {
  --primary: #B45309;
  --bg: #FAFAF9;
  --text: #1C1917;
  --font-heading: "Merriweather", serif;
}
```
3. 运行：`/report --theme 你的主题 --from file.md`

**附带的示例主题：** `themes/warm-editorial/`

---

## 报告格式（IR）

对于复杂报告，建议先用 `--plan` 生成 `.report.md` 中间文件。

**Frontmatter：**
```yaml
---
title: Q3 销售报告
theme: corporate-blue
author: 销售团队
date: 2024-10-08
lang: zh
toc: true
abstract: "Q3 营收同比增长12%，新客户数创历史新高。"
---
```

**组件块：**
```
:::kpi
items:
  - label: 营收
    value: ¥2,450万
    delta: ↑12%
  - label: 新客户数
    value: 183
    delta: ↑8%
:::

:::chart type=line title="月度营收趋势"
labels: [7月, 8月, 9月]
datasets:
  - label: 实际营收
    data: [780000, 820000, 850000]
:::

:::timeline
- 2024-10-15: Q4 目标下发
- 2024-10-31: 新品发布会
:::

:::callout type=tip
关键洞察填写在此。
:::
```

`badge` 仍然只是可选的 HTML 扫读增强，不是独立 IR tag。`timeline` 是严格时间型组件，日期建议使用 `2024-10-15`、`2024-10`、`Q4 2024` 这类显式时间标记。

---

## 面向 AI 智能体

其他智能体和技能可以直接调用 report-creator：

```
# 从文档生成
/report --from ./analysis.md --output summary.html

# 从 URL 生成
/report --from https://example.com/report-page --theme data-story

# 两步流程 + review
/report --plan "市场分析" --from ./raw-data.md
/report --generate market-analysis.report.md
/report --review report.html
```

**提取结构化数据：**
```python
from bs4 import BeautifulSoup
import json

soup = BeautifulSoup(open("report.html"), "html.parser")
summary = json.loads(soup.find("script", {"id": "report-summary"}).string)
print(summary["title"], summary["kpis"])
```

---

## 导出

每份报告右下角有内置 **↓ Export** 按钮：

| 选项 | 说明 |
|------|------|
| Print / PDF | 调起浏览器打印对话框，目标选择"另存为 PDF" |
| PNG (Desktop) | 以 2× 分辨率截取完整页面 |
| PNG (Mobile) | 截取报告正文并缩放至 1170px 宽 |

**提示：** 打印对话框中取消勾选"页眉和页脚"，可避免浏览器打印网址和日期。

---

## 使用案例：每日工作日报 → Telegram

```
将今天的工作情况用 dark-board 风格生成报告，导出为 IM 图片，通过 Telegram 发给我。
```

OpenClaw 会自动：
1. 整理今日完成的工作、关键决策和后续计划
2. 渲染成带 KPI 卡片和时间线的 `dark-board` 风格报告
3. 截图为 800px 宽的 JPEG（动画自动禁用）
4. 直接发送到你的 Telegram 频道

---

## 示例

| 文件 | 说明 |
|------|------|
| [examples/zh/business-report.html](examples/zh/business-report.html) | 2024 Q3 销售业绩报告（中文）|
| [examples/zh/monthly-progress-reviewed-demo.html](examples/zh/monthly-progress-reviewed-demo.html) | 月报 reviewed demo（中文）|
| [examples/en/business-report.html](examples/en/business-report.html) | Q3 Sales Report（英文）|
| [examples/review-reports/](examples/review-reports/) | 结构化 review report 示例 |

---

## 依赖要求

无依赖。任何现代浏览器均可打开。

`--bundle` 模式需要一次网络连接以获取 CDN 资源。

---

## 兼容性

| 平台 | 版本 | 安装路径 |
|------|------|----------|
| Claude Code | 任意 | `~/.claude/skills/kai-report-creator/` |
| OpenClaw | ≥ 0.9 | `~/.openclaw/skills/kai-report-creator/` |

---

## 版本日志

**v1.23.3** — No-agent eval gate 发布：release verification 默认使用 fixture skill eval，不依赖 Codex、Claude、Qoder、模型登录或网络；非 fixture runner 必须提供已记录 trace 或显式 live flag，否则直接拒绝。

**v1.23.2** — Fixture rubric 完整性发布：新增正向 case 的 style rubric fixtures，要求 captured-run 结果必须 `eval_complete` 才能通过，comparator 开始比较完整性回归，并把 deterministic fixture 基线刷新为 6/6 通过、平均分 100.0、Style 25.0。

**v1.23.1** — Captured-run skill eval 发布：新增 OpenAI-style skill eval prompts、fixture 与 Codex trace runners、超时 partial trace 归一化、baseline comparator、已保存的 fixture/live 基线、release verification 集成，并在 README 中写清如何用基线分数比较后续 skill 修改。

**v1.23.0** — 最终 HTML 质量门发布：新增 `scripts/html_quality_gate.py`，校验渲染后的标准 shell ID、主题 CSS 保真、regular-lumen/fangsong 字体与布局标记，以及 KPI 值；所有 KPI 卡片都必须使用真实量化值；移除周期报告中的强制占位 KPI；修正 dark-board 状态型 KPI 示例；补充对应回归测试。

**v1.22.0** — Reference split 与 validator profile 发布：将过大的 shell / rendering 契约拆分为按路由加载的子 reference，新增 reference index 与面向 validator 的使用边界材料，把 generated cache cleanup 纳入 release verification，并补充外部 validator 可读的 golden eval cases。

**v1.21.2** — 打包清理：从 GitHub 与 ClawHub 包中移除 tracked `docs/` 目录，忽略本地 docs 软链接，并将项目文档保留在 `/Users/song/projects/mydocs/report-creator`。

**v1.21.1** — Skill prompt 预算发布：将 `SKILL.md` 压缩为 320 行以内的薄路由契约，把 shell metadata 与重复日期细节下沉到 references，新增行数预算回归测试，并纳入 fast 验证链路。

**v1.21.0** — Late-context 隔离与发布链路加固：要求 `--generate` 从上下文中只提取唯一 IR 块，新增 context isolation 辅助脚本与 late-context eval 运行器，扩展 release verification 与 fast-test 覆盖，统一 footer/watermark shell metadata，并收紧中英文 doc-sync 护栏。

**v1.20.1** — 设计哲学扩展：新增 §7（渲染前先做契约拦截）、§8（Eval 是质量边界，不是质量分数）、§9（把契约检查做成可编程护栏），系统化说明 guard 流水线与 eval 工作流原则。

**v1.20.0** — Guard 校验流水线：在 HTML 渲染前运行 Python guard（`scripts/guard_validate.py`），以零漂移方式解析 `report_class`，自动降级非法块（kpi→callout、chart→table、timeline→list、diagram→callout），并把 IR hash 写入 `<meta name="ir-hash">` 以支持追踪，同时补上 guard 集成测试。

**v1.19.0** — 仿宋主题 + 数字字体质量检查：新增 FangSong（仿宋）主题用于正式公文，`<span class=”num”>` 包裹所有数值强制 tabular-nums，智能日期显示（近期用相对时间，远期用绝对日期），review 流程新增数字字体渲染校验。

**v1.18.0** — 主题路由修复：优先级关键词匹配现在正确将周报/日报/月报路由到 `regular-lumen`（第一优先级），将通用工作进展报告路由到 `corporate-blue`（兜底），而不是因为”项目/进展/状态”等重叠关键词误路由到 dark-tech/dark-board。

**v1.17.1** — 解决 ClawHub 版本冲突（合并 ClawHub v1.16.1 更新）。

**v1.17.0** — 合并 ClawHub v1.16.1 更新 + 新增水印功能。

**v1.16.1** — 收紧海报式摘要卡护栏：保持 summary-card poster mode 为显式 opt-in，把左栏收回为”标题层级 + 底部一句收束”，重新平衡主标题字号与可用宽度，修掉错误换行与宽度浪费，并新增摘要卡与 narrative rhythm 的回归测试。

**v1.16.0** — 最小化借鉴 Kami 方案全部落地：新增硬规则文档 `anti-patterns.md` 与 `diagram-decision-rules.md`，补上静默分类用的 `spec-loading-matrix.md` 和可选 `archetype` 提示，新增维护侧统一发布校验入口 `scripts/verify-release.py`，并将 Windows 发布测试集提升到 134 项全部通过。

**v1.15.0** — IR 契约加固与 eval 基础设施：将失败类型拆分为 `invalid_syntax` / `invalid_semantics` / `contract_conflict`，正式写清 `kpi` / `chart` / `timeline` / `diagram` schema，把 `badge` 降级为可选增强，新增 repo 内置 eval cases 与 `run-report-evals.py`，修正安装路径到 `kai-report-creator`，并将 Windows 发布测试集提升到 125 项全部通过。

**v1.14.2** — 导出菜单完整性进入标准生成流程：在写出前 shell 校验和 silent final review 中强制要求 print / desktop / mobile / IM 四个导出入口及其 JS 绑定齐全，避免生成报告退化成残缺导出菜单。

**v1.14.1** — Print/PDF 导出修复：保留报告背景，并在打印导出时强制显示动画态下的 KPI/数据组件；新增打印导出回归测试。

**v1.14.0** — ECharts 统一标准：所有图表统一使用 ECharts（告别 Chart.js 混用），新增 bar/line/radar/pie ECharts 模板，旋转标签 grid bottom 规则，折线图数据完整性规则，14 个图表渲染契约测试。

**v1.13.0** — L2 HTML shell 结构校验：SKILL.md pre-write 新增 10 项结构检查，design-quality.md §8，30 个 HTML shell 契约测试（BUG-001 修复）。

**v1.9.0** — Report Review 系统：`--review` 13 项检查点；`--generate` 静默终审；L0/L1 质量分层。

**v1.8.3** — KPI 溢出修复：`.kpi-suffix` 处理长单位。

**v1.8.2** — 克制配色系统：共享 badge 默认中性色；`data-report-mode="comparison"` 启用实体颜色。

**v1.8.1** — 导出背景修复：优先解析 `--bg`。

**v1.8.0** — 自定义主题：`--theme <name>` 加载 `themes/<name>/`。

**v1.6.0** — 桑基图：`:::chart type=sankey` 流向图。

**v1.5.0** — 设计质量基线：90/8/2 配色、KPI 网格规则、内容气质色调。

**v1.4.0** — 摘要卡片：海报式标题卡 + KPI/章节摘要。

**v1.3.0** — 零依赖动画：KPI 弹入、时间线滑入。

**v1.0.0** — 初始发布，6 套主题 + 9 种组件。


path: SKILL_HEAD.md
content: ---
name: kai-report-creator
description: 生成零依赖 HTML 报告 — 8 套主题，9 种组件，三层 AI 可读结构。适用于商业报告、数据看板、研究文档、KPI 仪表盘等。
version: 1.23.3
user-invocable: true
metadata: {"openclaw": {"emoji": "📊"}}
---

# kai-report-creator

生成零依赖单文件 HTML 报告，混合文本、图表、KPI、时间线等。

## 核心亮点

- **8 套内置主题** — corporate-blue、minimal、dark-tech、dark-board、data-story、newspaper、regular-lumen、fangsong
- **9 种组件类型** — KPI、图表、表格、时间线、流程图、代码块、标注、图片、列表
- **Report Review 系统** — 13 项检查点自动优化
- **AI 可读输出** — 三层机器可读结构
- **移动端自适应**

---

## 安装

**Claude Code:** 告诉 Claude「安装 https://github.com/kaisersong/kai-report-creator」

**OpenClaw:** `clawhub install kai-report-creator`

> ClawHub 页面：https://clawhub.ai/skills/kai-report-creator

---

## 使用方式

```bash
/report --from file.md          # 从文档生成
/report --from URL              # 从网页生成
/report --plan "主题"           # 生成.report.md 大纲
/report --generate file.report.md # 从大纲生成 HTML
/report --review file.html      # Review 清单优化
/report --themes                # 预览主题图库
```

---

## 命令路由


path: check-doc-sync.py
content: #!/usr/bin/env python3
"""
check-doc-sync.py -- lightweight contract checker for kai-report-creator review docs.
"""

from __future__ import annotations

import argparse
import sys
from dataclasses import dataclass
from pathlib import Path


@dataclass(frozen=True)
class RuleResult:
    name: str
    ok: bool
    detail: str


def read_required(path: Path) -> str:
    if not path.exists():
        raise FileNotFoundError(f"Required file not found: {path}")
    return path.read_text(encoding="utf-8")


def contains_all(text: str, snippets: list[str]) -> tuple[bool, str]:
    missing = [snippet for snippet in snippets if snippet not in text]
    if missing:
        return False, "missing: " + ", ".join(repr(item) for item in missing)
    return True, "all expected markers present"


def contains_none(text: str, snippets: list[str]) -> tuple[bool, str]:
    present = [snippet for snippet in snippets if snippet in text]
    if present:
        return False, "unexpected: " + ", ".join(repr(item) for item in present)
    return True, "no forbidden markers present"


def evaluate(root: Path) -> list[RuleResult]:
    skill = read_required(root / "SKILL.md")
    readme_en = read_required(root / "README.md")
    readme_zh = read_required(root / "README.zh-CN.md")
    checklist = read_required(root / "references" / "review-checklist.md")

    results: list[RuleResult] = []

    ok, detail = contains_all(
        skill,
        [
            "--review [file]",
            "references/review-checklist.md",
            "references/review-report-template.md",
            "silent final review pass",
            "one-pass automatic refinement",
        ],
    )
    results.append(RuleResult("skill-contract", ok, detail))

    ok, detail = contains_all(
        readme_en,
        [
            "/report --review",
            "13-checkpoint review system",
            "silent final review",
            "review-report-template.md",
        ],
    )
    results.append(RuleResult("readme-en-contract", ok, detail))

    ok, detail = contains_all(
        readme_zh,
        [
            "/report --review",
            "13 项检查点",
            "静默终审",
            "review-report-template.md",
        ],
    )
    results.append(RuleResult("readme-zh-contract", ok, detail))

    ok, detail = contains_all(
        checklist,
        [
            "### 1.1 BLUF Opening",
            "### 1.5 Takeaway After Data",
            "### 2.3 Conditional Reader Guidance",
            "## Rejected Candidates",
        ],
    )
    results.append(RuleResult("checklist-contract", ok, detail))

    # v4 guardrails: Doc drift protection (验收清单 #11, #12)
    ok, detail = contains_all(
        skill,
        [
            "no file given",  # SKILL.md must preserve context-backed generate prose
            "IR from context",  # SKILL.md must preserve IR-from-context routing
        ],
    )
    results.append(RuleResult("skill-context-backed-contract", ok, detail))

    ok, detail = contains_all(
        skill,
        [
            "report_class: mixed",  # SKILL.md must preserve optional report_class prose
        ],
    )
    results.append(RuleResult("report_class-mixed-contract", ok, detail))

    ok, detail = contains_all(
        skill,
        [
            "extract exactly one valid IR block from context",
            "Never render the surrounding conversation.",
            "Load reference files minimally",
            "load only the references that materially help the current render path",
        ],
    )
    results.append(RuleResult("skill-late-context-boundary-contract", ok, detail))

    ok, detail = contains_none(
        skill,
        [
            "read ALL of these before generating any HTML",
        ],
    )
    results.append(RuleResult("skill-no-full-reference-load-contract", ok, detail))

    ok, detail = contains_all(
        skill,
        [
            "Thin Routing Over Prompt Growth",
            "Contracts and Gates Beat Prompt Soup",
        ],
    )
    results.append(RuleResult("skill-context-budget-contract", ok, detail))

    ok, detail = contains_all(
        readme_en,
        [
            "Capability Growth Must Reduce Context Load",
            "Move quality checks off the hot path.",
        ],
    )
    results.append(RuleResult("readme-en-context-budget-contract", ok, detail))

    ok, detail = contains_all(
        readme_zh,
        [
            "能力增长先减少上下文负担",
            "质量机制后移",
        ],
    )
    results.append(RuleResult("readme-zh-context-budget-contract", ok, detail))

    return results


def print_results(results: list[RuleResult], dry_run: bool) -> int:
    if dry_run:
        print("DRY RUN: checking document contracts only, no files will be changed.")

    failures = 0
    for result in results:
        status = "PASS" if result.ok else "FAIL"
        print(f"{status} {result.name}: {result.detail}")
        if not result.ok:
            failures += 1

    if failures:
        print(f"\nSummary: {failures} rule(s) failed.")
        return 1

    print(f"\nSummary: {len(results)} rule(s) passed.")
    return 0


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--root", default=".", help="Repository root to inspect.")
    parser.add_argument(
        "--dry-run",
        action="store_true",
        help="Check-only mode. This script never modifies files.",
    )
    return parser.parse_args()


def main() -> int:
    args = parse_args()
    root = Path(args.root).resolve()
    try:
        results = evaluate(root)
    except FileNotFoundError as exc:
        print(f"FAIL missing-file: {exc}")
        return 1
    return print_results(results, dry_run=args.dry_run)


if __name__ == "__main__":
    sys.exit(main())


path: evals/__init__.py
content: """Evaluation helpers for kai-report-creator."""


path: evals/baselines/2026-05-17-baseline-summary.md
content: # 2026-05-17 Eval Baseline

This baseline captures the current `kai-report-creator` eval state before
future skill changes.

## Saved Files

- `2026-05-17-skill-evals-fixture.json`
- `2026-05-17-skill-evals-codex-live.json`
- `2026-05-17-report-evals.json`
- `2026-05-17-late-context-evals.json`

## Captured-Run Skill Evals: Fixture Runner

Fixture runner baseline is deterministic and should stay green unless the
scorer, prompt manifest, or fixture metrics intentionally change.

| Case | Total | Outcome | Process | Style | Efficiency | Pass |
|------|-------|---------|---------|-------|------------|------|
| explicit-generate | 100 | 25 | 25 | 25 | 25 | yes |
| implicit-weekly-progress | 100 | 25 | 25 | 25 | 25 | yes |
| contextual-research | 100 | 25 | 25 | 25 | 25 | yes |
| boundary-blueprint-report | 100 | 25 | 25 | 25 | 25 | yes |
| negative-slide-deck | 100 | 25 | 25 | 25 | 25 | yes |
| negative-html-export | 100 | 25 | 25 | 25 | 25 | yes |

Summary:

- Total: 6
- Passed: 6
- Failed: 0
- Incomplete: 0
- Average score: 100.0
- Average category scores: Outcome 25.0, Process 25.0, Style 25.0, Efficiency 25.0

Positive fixture cases now use checked-in `*-style-rubric.json` files. If a
positive case has no style rubric, the scorer records `style.rubric_missing`
and `eval.style_rubric_missing`, marks the case `eval_complete: false`, and
fails the eval instead of hiding the coverage gap behind a green score.

## Captured-Run Skill Evals: Codex Live Runner

Live runner baseline records one manual `codex exec` sample under the harness.
It is archival evidence, not part of default release verification.

This file was refreshed after runner hardening: the harness now passes the eval
prompt through stdin with `codex exec ... -`, parses partial JSONL traces on
timeout, and treats incomplete runs as failures. That makes this baseline more
pessimistic than the first smoke run, but it is a better comparison point:
negative controls can no longer pass just because the runner timed out before
doing visible harm.

| Case | Total | Outcome | Process | Style | Efficiency | Pass |
|------|-------|---------|---------|-------|------------|------|
| explicit-generate | 82 | 25 | 25 | 15 | 17 | no |
| implicit-weekly-progress | 42 | 0 | 25 | 0 | 17 | no |
| contextual-research | 42 | 0 | 25 | 0 | 17 | no |
| boundary-blueprint-report | 42 | 0 | 25 | 0 | 17 | no |
| negative-slide-deck | 92 | 25 | 25 | 25 | 17 | no |
| negative-html-export | 87 | 25 | 25 | 25 | 12 | no |

Summary:

- Total: 6
- Passed: 0
- Failed: 6
- Average score: 64.5
- Average category scores: Outcome 12.5, Process 25.0, Style 10.83, Efficiency 16.17

Dominant runner warnings:

- All cases timed out at their case wall-time budget (`codex.timeout:120.0s`,
  `codex.timeout:240.0s`, or `codex.timeout:300.0s`) and therefore include
  `runner.run_incomplete`.
- The partial traces show the skill contract and report flow are being read, so
  Process now scores 25/25 across all cases. The live problem is completion and
  routing, not lack of trace observability.
- The `Reading additional input from stdin...` warning is gone after switching
  to explicit stdin prompting with `codex exec ... -`.
- Codex still emits a deprecated hooks warning:
  ``[features].codex_hooks` is deprecated. Use `[features].hooks` instead.`

## Deterministic Report Evals

`2026-05-17-report-evals.json`:

- Total: 3
- Passed: 3
- Failed: 0
- Rubric-ready packets: 3

## Late-Context Evals

`2026-05-17-late-context-evals.json`:

- Total: 3
- Passed: 3
- Failed: 0
- Baseline cases with drift: 3
- Isolated cases with drift: 0
- Baseline total drift fields: 7
- Isolated total drift fields: 0
- Drift reduction: 7

## Re-run Commands

```bash
python3 scripts/run-skill-evals.py --runner fixture --artifact-dir .tmp/baseline-skill-evals-fixture-artifacts --format json --json-out evals/baselines/2026-05-17-skill-evals-fixture.json
python3 scripts/run-report-evals.py --root . --format json --json-out evals/baselines/2026-05-17-report-evals.json --packet-dir .tmp/baseline-report-eval-packets
python3 scripts/run-late-context-evals.py --root . --format json --json-out evals/baselines/2026-05-17-late-context-evals.json
```

Manual live sampling is intentionally excluded from the deterministic re-run
commands. If a maintainer wants to refresh the archival Codex sample, run
`python3 scripts/run-skill-evals.py --runner codex --run-live ...` explicitly
outside the release gate.


path: evals/baselines/2026-05-17-late-context-evals.json
content: {
  "cases": [
    {
      "case_id": "zh-ai-collaboration",
      "ok": true,
      "isolated_drift_fields": [],
      "baseline_drift_fields": [
        "resolved_theme"
      ],
      "extraction_ms": 0.102,
      "expected_snapshot": {
        "ir_hash": "sha256:6cc533055e8a1fe1",
        "resolved_report_class": "narrative",
        "resolved_theme": "minimal",
        "resolved_archetype": "research",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/theme-css.md",
          "references/review-checklist.md",
          "references/rendering-rules.md",
          "references/rendering/plain-markdown.md",
          "references/anti-patterns.md",
          "references/rendering/timeline-diagram.md",
          "references/rendering/media-code-callout.md",
          "references/diagram-decision-rules.md"
        ],
        "component_counts": {
          "callout": 1,
          "timeline": 1,
          "diagram": 1
        },
        "headings": [
          "结论先行",
          "六个阶段",
          "劳动分工如何变化",
          "管理动作"
        ]
      },
      "isolated_snapshot": {
        "ir_hash": "sha256:6cc533055e8a1fe1",
        "resolved_report_class": "narrative",
        "resolved_theme": "minimal",
        "resolved_archetype": "research",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/theme-css.md",
          "references/review-checklist.md",
          "references/rendering-rules.md",
          "references/rendering/plain-markdown.md",
          "references/anti-patterns.md",
          "references/rendering/timeline-diagram.md",
          "references/rendering/media-code-callout.md",
          "references/diagram-decision-rules.md"
        ],
        "component_counts": {
          "callout": 1,
          "timeline": 1,
          "diagram": 1
        },
        "headings": [
          "结论先行",
          "六个阶段",
          "劳动分工如何变化",
          "管理动作"
        ]
      },
      "baseline_snapshot": {
        "resolved_report_class": "narrative",
        "resolved_theme": "corporate-blue",
        "resolved_archetype": "research",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/theme-css.md",
          "references/review-checklist.md",
          "references/rendering-rules.md",
          "references/rendering/plain-markdown.md",
          "references/anti-patterns.md",
          "references/rendering/timeline-diagram.md",
          "references/rendering/media-code-callout.md",
          "references/diagram-decision-rules.md"
        ],
        "component_counts": {
          "callout": 1,
          "timeline": 1,
          "diagram": 1
        },
        "headings": [
          "结论先行",
          "六个阶段",
          "劳动分工如何变化",
          "管理动作"
        ]
      }
    },
    {
      "case_id": "en-ops-weekly",
      "ok": true,
      "isolated_drift_fields": [],
      "baseline_drift_fields": [
        "resolved_report_class",
        "resolved_theme",
        "required_refs"
      ],
      "extraction_ms": 0.084,
      "expected_snapshot": {
        "ir_hash": "sha256:174280b6b9f22a01",
        "resolved_report_class": "mixed",
        "resolved_theme": "corporate-blue",
        "resolved_archetype": "update",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/theme-css.md",
          "references/review-checklist.md",
          "references/rendering-rules.md",
          "references/rendering/plain-markdown.md",
          "references/anti-patterns.md",
          "references/rendering/kpi.md",
          "references/rendering/timeline-diagram.md",
          "references/rendering/media-code-callout.md"
        ],
        "component_counts": {
          "kpi": 1,
          "timeline": 1,
          "callout": 1
        },
        "headings": [
          "Bottom line",
          "What changed",
          "Next move"
        ]
      },
      "isolated_snapshot": {
        "ir_hash": "sha256:174280b6b9f22a01",
        "resolved_report_class": "mixed",
        "resolved_theme": "corporate-blue",
        "resolved_archetype": "update",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/theme-css.md",
          "references/review-checklist.md",
          "references/rendering-rules.md",
          "references/rendering/plain-markdown.md",
          "references/anti-patterns.md",
          "references/rendering/kpi.md",
          "references/rendering/timeline-diagram.md",
          "references/rendering/media-code-callout.md"
        ],
        "component_counts": {
          "kpi": 1,
          "timeline": 1,
          "callout": 1
        },
        "headings": [
          "Bottom line",
          "What changed",
          "Next move"
        ]
      },
      "baseline_snapshot": {
        "resolved_report_class": "narrative",
        "resolved_theme": "regular-lumen",
        "resolved_archetype": "update",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/theme-css.md",
          "references/review-checklist.md",
          "references/rendering-rules.md",
          "references/rendering/plain-markdown.md",
          "references/anti-patterns.md",
          "references/rendering/kpi.md",
          "references/rendering/timeline-diagram.md",
          "references/rendering/media-code-callout.md",
          "references/regular-report-content-rules.md"
        ],
        "component_counts": {
          "kpi": 1,
          "timeline": 1,
          "callout": 1
        },
        "headings": [
          "Bottom line",
          "What changed",
          "Next move"
        ]
      }
    },
    {
      "case_id": "zh-quarterly-growth",
      "ok": true,
      "isolated_drift_fields": [],
      "baseline_drift_fields": [
        "resolved_report_class",
        "resolved_theme",
        "required_refs"
      ],
      "extraction_ms": 0.092,
      "expected_snapshot": {
        "ir_hash": "sha256:4b083817df05c8f4",
        "resolved_report_class": "data",
        "resolved_theme": "corporate-blue",
        "resolved_archetype": "update",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/theme-css.md",
          "references/review-checklist.md",
          "references/rendering-rules.md",
          "references/rendering/plain-markdown.md",
          "references/anti-patterns.md",
          "references/rendering/kpi.md",
          "references/rendering/chart.md",
          "references/rendering/table-list.md"
        ],
        "component_counts": {
          "kpi": 1,
          "chart": 1,
          "table": 1
        },
        "headings": [
          "关键判断",
          "区域贡献",
          "关键表格",
          "下一步动作"
        ]
      },
      "isolated_snapshot": {
        "ir_hash": "sha256:4b083817df05c8f4",
        "resolved_report_class": "data",
        "resolved_theme": "corporate-blue",
        "resolved_archetype": "update",
        "required_refs": [
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/toc-edit-summary.md",
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path: evals/baselines/2026-05-17-report-evals.json
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path: evals/baselines/2026-05-17-skill-evals-codex-live.json
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            "command": "/bin/zsh -lc \"python scripts/guard_validate.py /dev/stdin <<'EOF'\n---\ntitle: Q1 KPI Decision Brief: Security Review Capacity\ntheme: corporate-blue\ndate: 2026-05-17\nlang: en\nreport_class: data\narchetype: update\naudience: \\\"Executive decision-maker\\\"\ndecision_goal: \\\"Decide whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_include:\n  - \\\"Q1 revenue: ¥2,450万, up 12% quarter over quarter.\\\"\n  - \\\"Enterprise renewals: 88%, down 3 percentage points.\\\"\n  - \\\"New pipeline: ¥7,800万, up 19%.\\\"\n  - \\\"Main risk: two strategic accounts delayed security review.\\\"\n  - \\\"Required decision: whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_avoid:\n  - \\\"Inventing account value, team cost, conversion probability, or staffing numbers.\\\"\ncharts: none\ntoc: true\nanimations: true\nabstract: \\\"Q1 metrics show revenue and pipeline growth, but renewal pressure and two delayed strategic security reviews put the 30-day tiger-team decision on the critical path.\\\"\n---\n\n## Q1 Signals Show Growth With Renewal Pressure\n\n:::kpi\nitems:\n  - label: Q1 revenue\n    value: ¥2,450万\n    delta: ↑12% QoQ\n  - label: Enterprise renewals\n    value: 88%\n    delta: ↓3pp\n  - label: New pipeline\n    value: ¥7,800万\n    delta: ↑19%\n:::\n\n:::table\n| Metric | Current value | Movement | Source meaning |\n| --- | --- | --- | --- |\n| Q1 revenue | ¥2,450万 | Up 12% QoQ | Revenue expanded versus the prior quarter. |\n| Enterprise renewals | 88% | Down 3 percentage points | Retention pressure increased. |\n| New pipeline | ¥7,800万 | Up 19% | Future opportunity base expanded. |\n:::\n\n## Security Review Delay Is The Decision Constraint\n\n:::callout type=warning icon=\"'!\nTwo strategic accounts are delayed in security review. The notes do not provide account value, review duration, conversion probability, staffing cost, or named owners.\n:::\n\n## The 30-Day Tiger Team Decision Needs Account Value Before ROI\n\n:::table\n| Option | What it addresses | Missing number not provided | Decision implication |\n| --- | --- | --- | --- |\n| Add a temporary security review tiger team | Directly targets the delayed security reviews for two strategic accounts | Tiger-team cost and affected account value | Approve if leadership treats the two-account delay as a near-term revenue or renewal risk worth containing. |\n| Keep current resourcing | Avoids adding temporary capacity for the next 30 days | Expected delay cost and current review throughput | Defer if the delayed accounts are not material or if security review capacity is already sufficient. |\n:::\nEOF'",
            "exit_code": null,
            "status": "in_progress"
          },
          {
            "type": "command_execution",
            "command": "/bin/zsh -lc \"python scripts/guard_validate.py /dev/stdin <<'EOF'\n---\ntitle: Q1 KPI Decision Brief: Security Review Capacity\ntheme: corporate-blue\ndate: 2026-05-17\nlang: en\nreport_class: data\narchetype: update\naudience: \\\"Executive decision-maker\\\"\ndecision_goal: \\\"Decide whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_include:\n  - \\\"Q1 revenue: ¥2,450万, up 12% quarter over quarter.\\\"\n  - \\\"Enterprise renewals: 88%, down 3 percentage points.\\\"\n  - \\\"New pipeline: ¥7,800万, up 19%.\\\"\n  - \\\"Main risk: two strategic accounts delayed security review.\\\"\n  - \\\"Required decision: whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_avoid:\n  - \\\"Inventing account value, team cost, conversion probability, or staffing numbers.\\\"\ncharts: none\ntoc: true\nanimations: true\nabstract: \\\"Q1 metrics show revenue and pipeline growth, but renewal pressure and two delayed strategic security reviews put the 30-day tiger-team decision on the critical path.\\\"\n---\n\n## Q1 Signals Show Growth With Renewal Pressure\n\n:::kpi\nitems:\n  - label: Q1 revenue\n    value: ¥2,450万\n    delta: ↑12% QoQ\n  - label: Enterprise renewals\n    value: 88%\n    delta: ↓3pp\n  - label: New pipeline\n    value: ¥7,800万\n    delta: ↑19%\n:::\n\n:::table\n| Metric | Current value | Movement | Source meaning |\n| --- | --- | --- | --- |\n| Q1 revenue | ¥2,450万 | Up 12% QoQ | Revenue expanded versus the prior quarter. |\n| Enterprise renewals | 88% | Down 3 percentage points | Retention pressure increased. |\n| New pipeline | ¥7,800万 | Up 19% | Future opportunity base expanded. |\n:::\n\n## Security Review Delay Is The Decision Constraint\n\n:::callout type=warning icon=\"'!\nTwo strategic accounts are delayed in security review. The notes do not provide account value, review duration, conversion probability, staffing cost, or named owners.\n:::\n\n## The 30-Day Tiger Team Decision Needs Account Value Before ROI\n\n:::table\n| Option | What it addresses | Missing number not provided | Decision implication |\n| --- | --- | --- | --- |\n| Add a temporary security review tiger team | Directly targets the delayed security reviews for two strategic accounts | Tiger-team cost and affected account value | Approve if leadership treats the two-account delay as a near-term revenue or renewal risk worth containing. |\n| Keep current resourcing | Avoids adding temporary capacity for the next 30 days | Expected delay cost and current review throughput | Defer if the delayed accounts are not material or if security review capacity is already sufficient. |\n:::\nEOF'",
            "exit_code": 0,
            "status": "completed"
          },
          {
            "type": "command_execution",
            "command": "/bin/zsh -lc \"python - <<'PY'\nimport hashlib\nir = '''---\ntitle: Q1 KPI Decision Brief: Security Review Capacity\ntheme: corporate-blue\ndate: 2026-05-17\nlang: en\nreport_class: data\narchetype: update\naudience: \\\"Executive decision-maker\\\"\ndecision_goal: \\\"Decide whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_include:\n  - \\\"Q1 revenue: ¥2,450万, up 12% quarter over quarter.\\\"\n  - \\\"Enterprise renewals: 88%, down 3 percentage points.\\\"\n  - \\\"New pipeline: ¥7,800万, up 19%.\\\"\n  - \\\"Main risk: two strategic accounts delayed security review.\\\"\n  - \\\"Required decision: whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_avoid:\n  - \\\"Inventing account value, team cost, conversion probability, or staffing numbers.\\\"\ncharts: none\ntoc: true\nanimations: true\nabstract: \\\"Q1 metrics show revenue and pipeline growth, but renewal pressure and two delayed strategic security reviews put the 30-day tiger-team decision on the critical path.\\\"\n---\n\n## Q1 Signals Show Growth With Renewal Pressure\n\n:::kpi\nitems:\n  - label: Q1 revenue\n    value: ¥2,450万\n    delta: ↑12% QoQ\n  - label: Enterprise renewals\n    value: 88%\n    delta: ↓3pp\n  - label: New pipeline\n    value: ¥7,800万\n    delta: ↑19%\n:::\n\n:::table\n| Metric | Current value | Movement | Source meaning |\n| --- | --- | --- | --- |\n| Q1 revenue | ¥2,450万 | Up 12% QoQ | Revenue expanded versus the prior quarter. |\n| Enterprise renewals | 88% | Down 3 percentage points | Retention pressure increased. |\n| New pipeline | ¥7,800万 | Up 19% | Future opportunity base expanded. |\n:::\n\n## Security Review Delay Is The Decision Constraint\n\n:::callout type=warning icon=\"'!\nTwo strategic accounts are delayed in security review. The notes do not provide account value, review duration, conversion probability, staffing cost, or named owners.\n:::\n\n## The 30-Day Tiger Team Decision Needs Account Value Before ROI\n\n:::table\n| Option | What it addresses | Missing number not provided | Decision implication |\n| --- | --- | --- | --- |\n| Add a temporary security review tiger team | Directly targets the delayed security reviews for two strategic accounts | Tiger-team cost and affected account value | Approve if leadership treats the two-account delay as a near-term revenue or renewal risk worth containing. |\n| Keep current resourcing | Avoids adding temporary capacity for the next 30 days | Expected delay cost and current review throughput | Defer if the delayed accounts are not material or if security review capacity is already sufficient. |\n:::\n'\"'''\nprint(hashlib.sha256(ir.encode('utf-8')).hexdigest())\nPY\"",
            "exit_code": null,
            "status": "in_progress"
          },
          {
            "type": "command_execution",
            "command": "/bin/zsh -lc \"python - <<'PY'\nimport hashlib\nir = '''---\ntitle: Q1 KPI Decision Brief: Security Review Capacity\ntheme: corporate-blue\ndate: 2026-05-17\nlang: en\nreport_class: data\narchetype: update\naudience: \\\"Executive decision-maker\\\"\ndecision_goal: \\\"Decide whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_include:\n  - \\\"Q1 revenue: ¥2,450万, up 12% quarter over quarter.\\\"\n  - \\\"Enterprise renewals: 88%, down 3 percentage points.\\\"\n  - \\\"New pipeline: ¥7,800万, up 19%.\\\"\n  - \\\"Main risk: two strategic accounts delayed security review.\\\"\n  - \\\"Required decision: whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_avoid:\n  - \\\"Inventing account value, team cost, conversion probability, or staffing numbers.\\\"\ncharts: none\ntoc: true\nanimations: true\nabstract: \\\"Q1 metrics show revenue and pipeline growth, but renewal pressure and two delayed strategic security reviews put the 30-day tiger-team decision on the critical path.\\\"\n---\n\n## Q1 Signals Show Growth With Renewal Pressure\n\n:::kpi\nitems:\n  - label: Q1 revenue\n    value: ¥2,450万\n    delta: ↑12% QoQ\n  - label: Enterprise renewals\n    value: 88%\n    delta: ↓3pp\n  - label: New pipeline\n    value: ¥7,800万\n    delta: ↑19%\n:::\n\n:::table\n| Metric | Current value | Movement | Source meaning |\n| --- | --- | --- | --- |\n| Q1 revenue | ¥2,450万 | Up 12% QoQ | Revenue expanded versus the prior quarter. |\n| Enterprise renewals | 88% | Down 3 percentage points | Retention pressure increased. |\n| New pipeline | ¥7,800万 | Up 19% | Future opportunity base expanded. |\n:::\n\n## Security Review Delay Is The Decision Constraint\n\n:::callout type=warning icon=\"'!\nTwo strategic accounts are delayed in security review. The notes do not provide account value, review duration, conversion probability, staffing cost, or named owners.\n:::\n\n## The 30-Day Tiger Team Decision Needs Account Value Before ROI\n\n:::table\n| Option | What it addresses | Missing number not provided | Decision implication |\n| --- | --- | --- | --- |\n| Add a temporary security review tiger team | Directly targets the delayed security reviews for two strategic accounts | Tiger-team cost and affected account value | Approve if leadership treats the two-account delay as a near-term revenue or renewal risk worth containing. |\n| Keep current resourcing | Avoids adding temporary capacity for the next 30 days | Expected delay cost and current review throughput | Defer if the delayed accounts are not material or if security review capacity is already sufficient. |\n:::\n'\"'''\nprint(hashlib.sha256(ir.encode('utf-8')).hexdigest())\nPY\"",
            "exit_code": 0,
            "status": "completed"
          }
        ],
        "shell_commands": [
          "/bin/zsh -lc \"sed -n '1,240p' SKILL.md\"",
          "/bin/zsh -lc 'ls references/html-shell'",
          "/bin/zsh -lc \"sed -n '1,260p' references/generate-flow.md\"",
          "/bin/zsh -lc \"sed -n '1,220p' references/spec-loading-matrix.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell-template.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/theme-css.md\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/review-checklist.md\"",
          "/bin/zsh -lc \"sed -n '241,520p' references/review-checklist.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/print-responsive.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/core-structure.md\"",
          "/bin/zsh -lc \"sed -n '1,300p' references/html-shell/toc-edit-summary.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/export.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/summary-card.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/shared-component-css.md\"",
          "/bin/zsh -lc \"sed -n '261,520p' references/html-shell/core-structure.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/ir-contract.md\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/anti-patterns.md\"",
          "/bin/zsh -lc 'ls references/rendering'",
          "/bin/zsh -lc \"sed -n '1,220p' references/theme-routing.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/rendering-rules.md\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/design-quality.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/rendering/plain-markdown.md\"",
          "/bin/zsh -lc \"sed -n '1,300p' references/rendering/table-list.md\"",
          "/bin/zsh -lc \"sed -n '1,300p' references/rendering/kpi.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/rendering/media-code-callout.md\"",
          "/bin/zsh -lc 'ls templates/themes'",
          "/bin/zsh -lc \"sed -n '1,260p' scripts/html_quality_gate.py\"",
          "/bin/zsh -lc \"sed -n '1,260p' scripts/guard_validate.py\"",
          "/bin/zsh -lc \"sed -n '1,260p' templates/themes/corporate-blue.css\"",
          "/bin/zsh -lc \"find evals/artifacts/current/skill-runs-baseline-2026-05-17/explicit-generate -maxdepth 1 -type f -name '*.html' -print\"",
          "/bin/zsh -lc \"sed -n '1,260p' templates/themes/shared.css\"",
          "/bin/zsh -lc \"sed -n '261,620p' templates/themes/shared.css\"",
          "/bin/zsh -lc \"python scripts/guard_validate.py /dev/stdin <<'EOF'\n---\ntitle: Q1 KPI Decision Brief: Security Review Capacity\ntheme: corporate-blue\ndate: 2026-05-17\nlang: en\nreport_class: data\narchetype: update\naudience: \\\"Executive decision-maker\\\"\ndecision_goal: \\\"Decide whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_include:\n  - \\\"Q1 revenue: ¥2,450万, up 12% quarter over quarter.\\\"\n  - \\\"Enterprise renewals: 88%, down 3 percentage points.\\\"\n  - \\\"New pipeline: ¥7,800万, up 19%.\\\"\n  - \\\"Main risk: two strategic accounts delayed security review.\\\"\n  - \\\"Required decision: whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_avoid:\n  - \\\"Inventing account value, team cost, conversion probability, or staffing numbers.\\\"\ncharts: none\ntoc: true\nanimations: true\nabstract: \\\"Q1 metrics show revenue and pipeline growth, but renewal pressure and two delayed strategic security reviews put the 30-day tiger-team decision on the critical path.\\\"\n---\n\n## Q1 Signals Show Growth With Renewal Pressure\n\n:::kpi\nitems:\n  - label: Q1 revenue\n    value: ¥2,450万\n    delta: ↑12% QoQ\n  - label: Enterprise renewals\n    value: 88%\n    delta: ↓3pp\n  - label: New pipeline\n    value: ¥7,800万\n    delta: ↑19%\n:::\n\n:::table\n| Metric | Current value | Movement | Source meaning |\n| --- | --- | --- | --- |\n| Q1 revenue | ¥2,450万 | Up 12% QoQ | Revenue expanded versus the prior quarter. |\n| Enterprise renewals | 88% | Down 3 percentage points | Retention pressure increased. |\n| New pipeline | ¥7,800万 | Up 19% | Future opportunity base expanded. |\n:::\n\n## Security Review Delay Is The Decision Constraint\n\n:::callout type=warning icon=\"'!\nTwo strategic accounts are delayed in security review. The notes do not provide account value, review duration, conversion probability, staffing cost, or named owners.\n:::\n\n## The 30-Day Tiger Team Decision Needs Account Value Before ROI\n\n:::table\n| Option | What it addresses | Missing number not provided | Decision implication |\n| --- | --- | --- | --- |\n| Add a temporary security review tiger team | Directly targets the delayed security reviews for two strategic accounts | Tiger-team cost and affected account value | Approve if leadership treats the two-account delay as a near-term revenue or renewal risk worth containing. |\n| Keep current resourcing | Avoids adding temporary capacity for the next 30 days | Expected delay cost and current review throughput | Defer if the delayed accounts are not material or if security review capacity is already sufficient. |\n:::\nEOF'",
          "/bin/zsh -lc \"python - <<'PY'\nimport hashlib\nir = '''---\ntitle: Q1 KPI Decision Brief: Security Review Capacity\ntheme: corporate-blue\ndate: 2026-05-17\nlang: en\nreport_class: data\narchetype: update\naudience: \\\"Executive decision-maker\\\"\ndecision_goal: \\\"Decide whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_include:\n  - \\\"Q1 revenue: ¥2,450万, up 12% quarter over quarter.\\\"\n  - \\\"Enterprise renewals: 88%, down 3 percentage points.\\\"\n  - \\\"New pipeline: ¥7,800万, up 19%.\\\"\n  - \\\"Main risk: two strategic accounts delayed security review.\\\"\n  - \\\"Required decision: whether to add a temporary security review tiger team for the next 30 days.\\\"\nmust_avoid:\n  - \\\"Inventing account value, team cost, conversion probability, or staffing numbers.\\\"\ncharts: none\ntoc: true\nanimations: true\nabstract: \\\"Q1 metrics show revenue and pipeline growth, but renewal pressure and two delayed strategic security reviews put the 30-day tiger-team decision on the critical path.\\\"\n---\n\n## Q1 Signals Show Growth With Renewal Pressure\n\n:::kpi\nitems:\n  - label: Q1 revenue\n    value: ¥2,450万\n    delta: ↑12% QoQ\n  - label: Enterprise renewals\n    value: 88%\n    delta: ↓3pp\n  - label: New pipeline\n    value: ¥7,800万\n    delta: ↑19%\n:::\n\n:::table\n| Metric | Current value | Movement | Source meaning |\n| --- | --- | --- | --- |\n| Q1 revenue | ¥2,450万 | Up 12% QoQ | Revenue expanded versus the prior quarter. |\n| Enterprise renewals | 88% | Down 3 percentage points | Retention pressure increased. |\n| New pipeline | ¥7,800万 | Up 19% | Future opportunity base expanded. |\n:::\n\n## Security Review Delay Is The Decision Constraint\n\n:::callout type=warning icon=\"'!\nTwo strategic accounts are delayed in security review. The notes do not provide account value, review duration, conversion probability, staffing cost, or named owners.\n:::\n\n## The 30-Day Tiger Team Decision Needs Account Value Before ROI\n\n:::table\n| Option | What it addresses | Missing number not provided | Decision implication |\n| --- | --- | --- | --- |\n| Add a temporary security review tiger team | Directly targets the delayed security reviews for two strategic accounts | Tiger-team cost and affected account value | Approve if leadership treats the two-account delay as a near-term revenue or renewal risk worth containing. |\n| Keep current resourcing | Avoids adding temporary capacity for the next 30 days | Expected delay cost and current review throughput | Defer if the delayed accounts are not material or if security review capacity is already sufficient. |\n:::\n'\"'''\nprint(hashlib.sha256(ir.encode('utf-8')).hexdigest())\nPY\""
        ],
        "failed_shell_commands": [],
        "read_paths": [
          "SKILL.md",
          "references/anti-patterns.md",
          "references/design-quality.md",
          "references/generate-flow.md",
          "references/html-shell-template.md",
          "references/html-shell/core-structure.md",
          "references/html-shell/export.md",
          "references/html-shell/print-responsive.md",
          "references/html-shell/shared-component-css.md",
          "references/html-shell/summary-card.md",
          "references/html-shell/toc-edit-summary.md",
          "references/ir-contract.md",
          "references/rendering-rules.md",
          "references/rendering/kpi.md",
          "references/rendering/media-code-callout.md",
          "references/rendering/plain-markdown.md",
          "references/rendering/table-list.md",
          "references/review-checklist.md",
          "references/spec-loading-matrix.md",
          "references/theme-css.md",
          "references/theme-routing.md",
          "scripts/guard_validate.py",
          "scripts/html_quality_gate.py"
        ],
        "write_paths": [],
        "artifact_paths": [],
        "input_tokens": null,
        "output_tokens": null,
        "wall_ms": 240005,
        "run_completed": false,
        "skill_evidence": {
          "skill_contract_read": true,
          "report_flow_observed": true,
          "guard_observed": true,
          "html_quality_gate_observed": true
        },
        "runner_warnings": [
          "codex.timeout:240.0s",
          "codex.event_error:`[features].codex_hooks` is deprecated. Use `[features].hooks` instead. (Enable it with `--enable hooks` or `[features]."
        ]
      },
      "artifact_dir": [REDACTED_SECRET]
    },
    {
      "case_id": "implicit-weekly-progress",
      "total_score": 42,
      "passed": false,
      "scores": {
        "outcome": 0,
        "process": 25,
        "style": 0,
        "efficiency": 17
      },
      "failures": [
        "runner.run_incomplete",
        "outcome.missing_html_artifact",
        "style.missing_html_artifact",
        "efficiency.shell_command_count_over_budget",
        "efficiency.wall_time_over_budget"
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      "metrics": {
        "runner": "codex",
        "trace_format_version": "codex-jsonl-v1",
        "tool_calls": [
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            "command": "/bin/zsh -lc \"python - <<'PY'\nfrom scripts.guard_validate import validate_ir_text\nimport hashlib, json\nir = '''---\ntitle: 本周项目进展周报\ndate: 2026-05-17\nlang: zh\ntheme: regular-lumen\nreport_class: mixed\narchetype: update\naudience: 老板 / 业务负责人\ndecision_goal: 决定是否将财务 API 纳入 P1 级监控\nabstract: 本周导出效率显著提升，字段校验减少人工回填；当前主要风险集中在财务系统 API 稳定性，需要确认监控优先级。\ntoc: true\nanimations: true\n---\n\n## 结论先行：效率提升已落地，财务 API 需要决策\n本周交付的核心收益是报表导出链路提速：耗时从 42 秒降到 18 秒，异步等待时间下降明显。客户字段校验也新增 5 个，预计会减少人工回填成本。唯一需要管理层决策的是：财务系统 API 已在周三晚间影响两次同步，是否纳入 P1 级监控需要尽快定。\n\n:::kpi\nitems:\n  - label: 导出耗时\n    value: 18秒\n    delta: ↓57%\n    note: 从42秒降至18秒\n  - label: 新增校验字段\n    value: 5个\n    delta: → 已上线\n    note: 减少人工回填\n  - label: 同步受影响\n    value: 2次\n    delta: → 周三晚间\n    note: 财务系统API不稳定\n:::\n\n## 本周进展：两个交付项改善报表链路体验\n<span class=\\\"badge badge--done\\\">已完成</span> 报表导出链路优化已经完成，导出耗时从 42 秒下降到 18 秒。这个变化直接缩短了等待窗口，也降低了批量导出时的阻塞感。\n\n<span class=\\\"badge badge--done\\\">已完成</span> 客户字段校验新增 5 个，用于提前拦截缺失或格式异常字段，减少后续人工回填。\n\n:::timeline\n- Week 1: 完成报表导出链路优化，导出耗时从42秒降到18秒。\n- Week 1: 新增5个客户字段校验，减少人工回填。\n- 2026-05-13: 财务系统API晚间不稳定，影响两次同步。\n:::\n\n:::callout type=tip icon=✓\n本周的主线不是新增功能数量，而是把报表链路里的等待时间和人工修补点往前压缩。\n:::\n\n## 风险与决策：财务 API 稳定性已影响同步\n<span class=\\\"badge badge--warn\\\">风险</span> 财务系统 API 在 2026-05-13 晚间出现不稳定，已经影响两次同步。当前问题还没有形成持续阻塞，但已经足够说明需要补齐失败重试、告警和监控等级判断。\n\n:::callout type=warning icon=\"'!\n需要决策：是否把财务 API 纳入 P1 级监控。如果纳入，后续告警、升级和响应阈值会按核心链路处理；如果不纳入，下周仍先补失败重试和基础告警。\n:::\n\n<hr class=\"week-divider\">\n\n## 下周动作：Alex 补重试和告警，监控等级待确认\n<span class=\"badge badge--wip\">下周执行</span> Alex 负责补充失败重试和告警，优先覆盖财务系统 API 的同步失败场景。管理层需要确认 P1 监控决策，以便同步确定告警等级和响应机制。\n\n:::timeline\n- Week 2: (future) Alex 补充失败重试机制，覆盖财务系统API同步失败。\n- Week 2: (future) Alex 补充告警规则，并根据P1决策确定通知等级。\n:::\n\n:::callout type=note icon=→\n建议在下周动作开始前确认 P1 监控归属，避免先做基础告警后再返工升级策略。\n:::\n'\"'''\nprint(json.dumps(validate_ir_text(ir), ensure_ascii=False, indent=2))\nprint('sha256:' + hashlib.sha256(ir.encode('utf-8')).hexdigest())\nPY\"",
            "exit_code": null,
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            "type": "command_execution",
            "command": "/bin/zsh -lc \"python - <<'PY'\nfrom scripts.guard_validate import validate_ir_text\nimport hashlib, json\nir = '''---\ntitle: 本周项目进展周报\ndate: 2026-05-17\nlang: zh\ntheme: regular-lumen\nreport_class: mixed\narchetype: update\naudience: 老板 / 业务负责人\ndecision_goal: 决定是否将财务 API 纳入 P1 级监控\nabstract: 本周导出效率显著提升，字段校验减少人工回填；当前主要风险集中在财务系统 API 稳定性，需要确认监控优先级。\ntoc: true\nanimations: true\n---\n\n## 结论先行：效率提升已落地，财务 API 需要决策\n本周交付的核心收益是报表导出链路提速：耗时从 42 秒降到 18 秒，异步等待时间下降明显。客户字段校验也新增 5 个，预计会减少人工回填成本。唯一需要管理层决策的是：财务系统 API 已在周三晚间影响两次同步，是否纳入 P1 级监控需要尽快定。\n\n:::kpi\nitems:\n  - label: 导出耗时\n    value: 18秒\n    delta: ↓57%\n    note: 从42秒降至18秒\n  - label: 新增校验字段\n    value: 5个\n    delta: → 已上线\n    note: 减少人工回填\n  - label: 同步受影响\n    value: 2次\n    delta: → 周三晚间\n    note: 财务系统API不稳定\n:::\n\n## 本周进展：两个交付项改善报表链路体验\n<span class=\\\"badge badge--done\\\">已完成</span> 报表导出链路优化已经完成，导出耗时从 42 秒下降到 18 秒。这个变化直接缩短了等待窗口，也降低了批量导出时的阻塞感。\n\n<span class=\\\"badge badge--done\\\">已完成</span> 客户字段校验新增 5 个，用于提前拦截缺失或格式异常字段，减少后续人工回填。\n\n:::timeline\n- Week 1: 完成报表导出链路优化，导出耗时从42秒降到18秒。\n- Week 1: 新增5个客户字段校验，减少人工回填。\n- 2026-05-13: 财务系统API晚间不稳定，影响两次同步。\n:::\n\n:::callout type=tip icon=✓\n本周的主线不是新增功能数量，而是把报表链路里的等待时间和人工修补点往前压缩。\n:::\n\n## 风险与决策：财务 API 稳定性已影响同步\n<span class=\\\"badge badge--warn\\\">风险</span> 财务系统 API 在 2026-05-13 晚间出现不稳定，已经影响两次同步。当前问题还没有形成持续阻塞，但已经足够说明需要补齐失败重试、告警和监控等级判断。\n\n:::callout type=warning icon=\"'!\n需要决策：是否把财务 API 纳入 P1 级监控。如果纳入，后续告警、升级和响应阈值会按核心链路处理；如果不纳入，下周仍先补失败重试和基础告警。\n:::\n\n<hr class=\"week-divider\">\n\n## 下周动作：Alex 补重试和告警，监控等级待确认\n<span class=\"badge badge--wip\">下周执行</span> Alex 负责补充失败重试和告警，优先覆盖财务系统 API 的同步失败场景。管理层需要确认 P1 监控决策，以便同步确定告警等级和响应机制。\n\n:::timeline\n- Week 2: (future) Alex 补充失败重试机制，覆盖财务系统API同步失败。\n- Week 2: (future) Alex 补充告警规则，并根据P1决策确定通知等级。\n:::\n\n:::callout type=note icon=→\n建议在下周动作开始前确认 P1 监控归属，避免先做基础告警后再返工升级策略。\n:::\n'\"'''\nprint(json.dumps(validate_ir_text(ir), ensure_ascii=False, indent=2))\nprint('sha256:' + hashlib.sha256(ir.encode('utf-8')).hexdigest())\nPY\"",
            "exit_code": 0,
            "status": "completed"
          },
          {
            "type": "command_execution",
            "command": "/bin/zsh -lc 'mkdir -p evals/artifacts/current/skill-runs-baseline-2026-05-17/implicit-weekly-progress'",
            "exit_code": null,
            "status": "in_progress"
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          {
            "type": "command_execution",
            "command": "/bin/zsh -lc 'mkdir -p evals/artifacts/current/skill-runs-baseline-2026-05-17/implicit-weekly-progress'",
            "exit_code": 0,
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        "shell_commands": [
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          "/bin/zsh -lc \"sed -n '1,240p' references/spec-loading-matrix.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell-template.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/generate-flow.md\"",
          "/bin/zsh -lc 'rg --files references/html-shell'",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/core-structure.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/shared-component-css.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/print-responsive.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/toc-edit-summary.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/summary-card.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/html-shell/export.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/anti-patterns.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/review-checklist.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/regular-report-content-rules.md\"",
          "/bin/zsh -lc \"sed -n '1,220p' references/theme-routing.md\"",
          "/bin/zsh -lc \"sed -n '1,280p' references/theme-css.md\"",
          "/bin/zsh -lc \"sed -n '1,220p' references/ir-contract.md\"",
          "/bin/zsh -lc \"sed -n '1,260p' templates/themes/shared.css\"",
          "/bin/zsh -lc \"sed -n '1,260p' templates/themes/regular-lumen.css\"",
          "/bin/zsh -lc \"sed -n '1,260p' references/rendering-rules.md\"",
          "/bin/zsh -lc 'rg --files references/rendering'",
          "/bin/zsh -lc \"sed -n '1,220p' scripts/guard_validate.py\"",
          "/bin/zsh -lc \"sed -n '1,220p' scripts/html_quality_gate.py\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/rendering/plain-markdown.md\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/rendering/table-list.md\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/rendering/media-code-callout.md\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/rendering/timeline-diagram.md\"",
          "/bin/zsh -lc \"sed -n '1,240p' references/rendering/kpi.md\"",
          "/bin/zsh -lc \"python - <<'PY'\nfrom scripts.guard_validate import validate_ir_text\nimport hashlib, json\nir = '''---\ntitle: 本周项目进展周报\ndate: 2026-05-17\nlang: zh\ntheme: regular-lumen\nreport_class: mixed\narchetype: update\naudience: 老板 / 业务负责人\ndecision_goal: 决定是否将财务 API 纳入 P1 级监控\nabstract: 本周导出效率显著提升，字段校验减少人工回填；当前主要风险集中在财务系统 API 稳定性，需要确认监控优先级。\ntoc: true\nanimations: true\n---\n\n## 结论先行：效率提升已落地，财务 API 需要决策\n本周交付的核心收益是报表导出链路提速：耗时从 42 秒降到 18 秒，异步等待时间下降明显。客户字段校验也新增 5 个，预计会减少人工回填成本。唯一需要管理层决策的是：财务系统 API 已在周三晚间影响两次同步，是否纳入 P1 级监控需要尽快定。\n\n:::kpi\nitems:\n  - label: 导出耗时\n    value: 18秒\n    delta: ↓57%\n    note: 从42秒降至18秒\n  - label: 新增校验字段\n    value: 5个\n    delta: → 已上线\n    note: 减少人工回填\n  - label: 同步受影响\n    value: 2次\n    delta: → 周三晚间\n    note: 财务系统API不稳定\n:::\n\n## 本周进展：两个交付项改善报表链路体验\n<span class=\\\"badge badge--done\\\">已完成</span> 报表导出链路优化已经完成，导出耗时从 42 秒下降到 18 秒。这个变化直接缩短了等待窗口，也降低了批量导出时的阻塞感。\n\n<span class=\\\"badge badge--done\\\">已完成</span> 客户字段校验新增 5 个，用于提前拦截缺失或格式异常字段，减少后续人工回填。\n\n:::timeline\n- Week 1: 完成报表导出链路优化，导出耗时从42秒降到18秒。\n- Week 1: 新增5个客户字段校验，减少人工回填。\n- 2026-05-13: 财务系统API晚间不稳定，影响两次同步。\n:::\n\n:::callout type=tip icon=✓\n本周的主线不是新增功能数量，而是把报表链路里的等待时间和人工修补点往前压缩。\n:::\n\n## 风险与决策：财务 API 稳定性已影响同步\n<span class=\\\"badge badge--warn\\\">风险</span> 财务系统 API 在 2026-05-13 晚间出现不稳定，已经影响两次同步。当前问题还没有形成持续阻塞，但已经足够说明需要补齐失败重试、告警和监控等级判断。\n\n:::callout type=warning icon=\"'!\n需要决策：是否把财务 API 纳入 P1 级监控。如果纳入，后续告警、升级和响应阈值会按核心链路处理；如果不纳入，下周仍先补失败重试和基础告警。\n:::\n\n<hr class=\"week-divider\">\n\n## 下周动作：Alex 补重试和告警，监控等级待确认\n<span class=\"badge badge--wip\">下周执行</span> Alex 负责补充失败重试和告警，优先覆盖财务系统 API 的同步失败场景。管理层需要确认 P1 监控决策，以便同步确定告警等级和响应机制。\n\n:::timeline\n- Week 2: (future) Alex 补充失败重试机制，覆盖财务系统API同步失败。\n- Week 2: (future) Alex 补充告警规则，并根据P1决策确定通知等级。\n:::\n\n:::callout type=note icon=→\n建议在下周动作开始前确认 P1 监控归属，避免先做基础告警后再返工升级策略。\n:::\n'\"'''\nprint(json.dumps(validate_ir_text(ir), ensure_ascii=False, indent=2))\nprint('sha256:' + hashlib.sha256(ir.encode('utf-8')).hexdigest())\nPY\"",
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            "command": "/bin/zsh -lc \"python - <<'PY'\nfrom pathlib import Path\nir = '''---\ntitle: 多 Agent 协作失败的上下文边界研究\ntheme: minimal\ndate: 2026-05-17\nlang: zh\nreport_class: narrative\narchetype: research\naudience: 产品和工程负责人\ndecision_goal: 决定先建设小型 trace eval，还是直接投入更复杂的自治调度\nmust_include:\n  - 多 agent 协作失败通常不是模型能力问题，而是上下文边界和交接契约问题。\n  - 没有明确 artifact owner 时，多个 agent 会重复读同一批文件。\n  - 只看最终 diff、不看 trace，会隐藏流程错误。\n  - 稳定团队通常拆成 explorer、worker、reviewer，并要求结构化证据。\n  - 建议先建立小型 trace eval，再考虑复杂自治调度。\nmust_avoid:\n  - 不把没有数字的观点包装成 KPI。\n  - 不使用装饰性图表或伪时间线。\n  - 不输出演示文稿结构。\ntoc: true\nanimations: true\nabstract: \\\"这份研究报告将多 agent 协作失败归因于上下文边界与交接契约，并建议产品与工程负责人先建设小型 trace eval。\\\"\nposter_title: \\\"边界先于调度\\\"\nposter_subtitle: \\\"多 agent 协作的失效点通常藏在 trace 和交接契约里\\\"\nposter_note: \\\"先让协作过程可评估，再让调度系统更自治。\\\"\n---\n\n## 主要判断：协作失效先从边界和契约查起\n\n这份报告面向正在设计多 agent 协作流程的产品和工程负责人。核心判断是：常见失败不应先归因于模型能力不足，而应先检查上下文边界、artifact owner 和交接契约是否可执行、可追踪、可审查。\n\n多 agent 系统一旦缺少清晰的责任面，协作成本会从“并行加速”转化为“重复理解”。因此，下一步不宜直接追求更复杂的自治调度，而应先建立小型 trace eval，让团队能看见每次协作中的阅读、交接、修改和 review 证据。\n\n## 没有 artifact owner 时，阅读成本会被多次支付\n\n观察显示，当任务没有明确 artifact owner 时，多个 agent 会重复读同一批文件。这个问题表面上是效率损耗，实质上是上下文边界没有被产品化：系统没有告诉每个 agent 应该拥有哪个 artifact、应该继承哪些事实、又应该把哪些判断交给下一环节。\n\n对负责人而言，关键不是禁止重复阅读，而是让重复阅读可解释。如果两个 agent 都读同一批文件，是因为职责重叠、证据缺口，还是因为交接缺少摘要？这些差异只有在 trace 中保留下来，才有可能被改进。\n\n## 只看最终 diff 会漏掉流程错误\n\n只看最终 diff 的 review 能发现代码层面的明显问题，却很容易漏掉流程层面的错误：agent 可能改对了文件，但基于错误假设；也可能最终 diff 很小，但过程中重复读取、误解交接、跳过证据验证。最终结果越干净，这些流程问题越容易被隐藏。\n\n因此，多 agent review 需要同时看 artifact 和 trace。artifact 回答“最后产出了什么”，trace 回答“为什么这样产出、谁承担了判断、证据是否足够”。这不是增加审查负担，而是把隐藏成本从事后故障转移到可控评估中。\n\n## 稳定团队会把角色拆成 explorer、worker、reviewer\n\n较稳定的团队通常不会让每个 agent 都承担完整任务链，而是拆成 explorer、worker、reviewer。这个拆法的价值不在称谓，而在于每个角色都有不同的输出契约：explorer 输出结构化证据，worker 输出受边界约束的 artifact 变更，reviewer 输出基于 trace 的判断。\n\n角色拆分后，负责人可以分别评估“发现是否充分”“实现是否尊重边界”“review 是否检查了流程”。这比笼统评估一个 agent 是否完成任务更可调试，也更容易定位协作失败发生在哪一段。\n\n## 小型 trace eval 应先回答边界是否可评估\n\n建议先建立小型 trace eval，再考虑更复杂的自治调度。这个 eval 不需要覆盖所有任务类型，首先应覆盖最容易暴露边界问题的协作链路：谁负责哪个 artifact、交接时传递了哪些证据、review 是否同时检查最终 diff 和 trace。\n\n一个合格的初版 trace eval 应能让负责人回答三个问题：重复阅读是否来自职责不清；交接摘要是否足以支持下一步行动；review 是否能指出流程错误而不只评价最终产物。只有这些问题变得可观察，自治调度的复杂度才有可验证的收益基础。\n'''\npath = Path('/private/tmp/kai-contextual-research.report.md')\npath.write_text(ir, encoding='utf-8')\nprint(path)\nPY\"",
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            "command": "/bin/zsh -lc \"python - <<'PY'\nfrom pathlib import Path\nir = '''---\ntitle: 多 Agent 协作失败的上下文边界研究\ntheme: minimal\ndate: 2026-05-17\nlang: zh\nreport_class: narrative\narchetype: research\naudience: 产品和工程负责人\ndecision_goal: 决定先建设小型 trace eval，还是直接投入更复杂的自治调度\nmust_include:\n  - 多 agent 协作失败通常不是模型能力问题，而是上下文边界和交接契约问题。\n  - 没有明确 artifact owner 时，多个 agent 会重复读同一批文件。\n  - 只看最终 diff、不看 trace，会隐藏流程错误。\n  - 稳定团队通常拆成 explorer、worker、reviewer，并要求结构化证据。\n  - 建议先建立小型 trace eval，再考虑复杂自治调度。\nmust_avoid:\n  - 不把没有数字的观点包装成 KPI。\n  - 不使用装饰性图表或伪时间线。\n  - 不输出演示文稿结构。\ntoc: true\nanimations: true\nabstract: \\\"这份研究报告将多 agent 协作失败归因于上下文边界与交接契约，并建议产品与工程负责人先建设小型 trace eval。\\\"\nposter_title: \\\"边界先于调度\\\"\nposter_subtitle: \\\"多 agent 协作的失效点通常藏在 trace 和交接契约里\\\"\nposter_note: \\\"先让协作过程可评估，再让调度系统更自治。\\\"\n---\n\n## 主要判断：协作失效先从边界和契约查起\n\n这份报告面向正在设计多 agent 协作流程的产品和工程负责人。核心判断是：常见失败不应先归因于模型能力不足，而应先检查上下文边界、artifact owner 和交接契约是否可执行、可追踪、可审查。\n\n多 agent 系统一旦缺少清晰的责任面，协作成本会从“并行加速”转化为“重复理解”。因此，下一步不宜直接追求更复杂的自治调度，而应先建立小型 trace eval，让团队能看见每次协作中的阅读、交接、修改和 review 证据。\n\n## 没有 artifact owner 时，阅读成本会被多次支付\n\n观察显示，当任务没有明确 artifact owner 时，多个 agent 会重复读同一批文件。这个问题表面上是效率损耗，实质上是上下文边界没有被产品化：系统没有告诉每个 agent 应该拥有哪个 artifact、应该继承哪些事实、又应该把哪些判断交给下一环节。\n\n对负责人而言，关键不是禁止重复阅读，而是让重复阅读可解释。如果两个 agent 都读同一批文件，是因为职责重叠、证据缺口，还是因为交接缺少摘要？这些差异只有在 trace 中保留下来，才有可能被改进。\n\n## 只看最终 diff 会漏掉流程错误\n\n只看最终 diff 的 review 能发现代码层面的明显问题，却很容易漏掉流程层面的错误：agent 可能改对了文件，但基于错误假设；也可能最终 diff 很小，但过程中重复读取、误解交接、跳过证据验证。最终结果越干净，这些流程问题越容易被隐藏。\n\n因此，多 agent review 需要同时看 artifact 和 trace。artifact 回答“最后产出了什么”，trace 回答“为什么这样产出、谁承担了判断、证据是否足够”。这不是增加审查负担，而是把隐藏成本从事后故障转移到可控评估中。\n\n## 稳定团队会把角色拆成 explorer、worker、reviewer\n\n较稳定的团队通常不会让每个 agent 都承担完整任务链，而是拆成 explorer、worker、reviewer。这个拆法的价值不在称谓，而在于每个角色都有不同的输出契约：explorer 输出结构化证据，worker 输出受边界约束的 artifact 变更，reviewer 输出基于 trace 的判断。\n\n角色拆分后，负责人可以分别评估“发现是否充分”“实现是否尊重边界”“review 是否检查了流程”。这比笼统评估一个 agent 是否完成任务更可调试，也更容易定位协作失败发生在哪一段。\n\n## 小型 trace eval 应先回答边界是否可评估\n\n建议先建立小型 trace eval，再考虑更复杂的自治调度。这个 eval 不需要覆盖所有任务类型，首先应覆盖最容易暴露边界问题的协作链路：谁负责哪个 artifact、交接时传递了哪些证据、review 是否同时检查最终 diff 和 trace。\n\n一个合格的初版 trace eval 应能让负责人回答三个问题：重复阅读是否来自职责不清；交接摘要是否足以支持下一步行动；review 是否能指出流程错误而不只评价最终产物。只有这些问题变得可观察，自治调度的复杂度才有可验证的收益基础。\n'''\npath = Path('/private/tmp/kai-contextual-research.report.md')\npath.write_text(ir, encoding='utf-8')\nprint(path)\nPY\"",
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          "/bin/zsh -lc \"python - <<'PY'\nfrom pathlib import Path\nir = '''---\ntitle: 多 Agent 协作失败的上下文边界研究\ntheme: minimal\ndate: 2026-05-17\nlang: zh\nreport_class: narrative\narchetype: research\naudience: 产品和工程负责人\ndecision_goal: 决定先建设小型 trace eval，还是直接投入更复杂的自治调度\nmust_include:\n  - 多 agent 协作失败通常不是模型能力问题，而是上下文边界和交接契约问题。\n  - 没有明确 artifact owner 时，多个 agent 会重复读同一批文件。\n  - 只看最终 diff、不看 trace，会隐藏流程错误。\n  - 稳定团队通常拆成 explorer、worker、reviewer，并要求结构化证据。\n  - 建议先建立小型 trace eval，再考虑复杂自治调度。\nmust_avoid:\n  - 不把没有数字的观点包装成 KPI。\n  - 不使用装饰性图表或伪时间线。\n  - 不输出演示文稿结构。\ntoc: true\nanimations: true\nabstract: \\\"这份研究报告将多 agent 协作失败归因于上下文边界与交接契约，并建议产品与工程负责人先建设小型 trace eval。\\\"\nposter_title: \\\"边界先于调度\\\"\nposter_subtitle: \\\"多 agent 协作的失效点通常藏在 trace 和交接契约里\\\"\nposter_note: \\\"先让协作过程可评估，再让调度系统更自治。\\\"\n---\n\n## 主要判断：协作失效先从边界和契约查起\n\n这份报告面向正在设计多 agent 协作流程的产品和工程负责人。核心判断是：常见失败不应先归因于模型能力不足，而应先检查上下文边界、artifact owner 和交接契约是否可执行、可追踪、可审查。\n\n多 agent 系统一旦缺少清晰的责任面，协作成本会从“并行加速”转化为“重复理解”。因此，下一步不宜直接追求更复杂的自治调度，而应先建立小型 trace eval，让团队能看见每次协作中的阅读、交接、修改和 review 证据。\n\n## 没有 artifact owner 时，阅读成本会被多次支付\n\n观察显示，当任务没有明确 artifact owner 时，多个 agent 会重复读同一批文件。这个问题表面上是效率损耗，实质上是上下文边界没有被产品化：系统没有告诉每个 agent 应该拥有哪个 artifact、应该继承哪些事实、又应该把哪些判断交给下一环节。\n\n对负责人而言，关键不是禁止重复阅读，而是让重复阅读可解释。如果两个 agent 都读同一批文件，是因为职责重叠、证据缺口，还是因为交接缺少摘要？这些差异只有在 trace 中保留下来，才有可能被改进。\n\n## 只看最终 diff 会漏掉流程错误\n\n只看最终 diff 的 review 能发现代码层面的明显问题，却很容易漏掉流程层面的错误：agent 可能改对了文件，但基于错误假设；也可能最终 diff 很小，但过程中重复读取、误解交接、跳过证据验证。最终结果越干净，这些流程问题越容易被隐藏。\n\n因此，多 agent review 需要同时看 artifact 和 trace。artifact 回答“最后产出了什么”，trace 回答“为什么这样产出、谁承担了判断、证据是否足够”。这不是增加审查负担，而是把隐藏成本从事后故障转移到可控评估中。\n\n## 稳定团队会把角色拆成 explorer、worker、reviewer\n\n较稳定的团队通常不会让每个 agent 都承担完整任务链，而是拆成 explorer、worker、reviewer。这个拆法的价值不在称谓，而在于每个角色都有不同的输出契约：explorer 输出结构化证据，worker 输出受边界约束的 artifact 变更，reviewer 输出基于 trace 的判断。\n\n角色拆分后，负责人可以分别评估“发现是否充分”“实现是否尊重边界”“review 是否检查了流程”。这比笼统评估一个 agent 是否完成任务更可调试，也更容易定位协作失败发生在哪一段。\n\n## 小型 trace eval 应先回答边界是否可评估\n\n建议先建立小型 trace eval，再考虑更复杂的自治调度。这个 eval 不需要覆盖所有任务类型，首先应覆盖最容易暴露边界问题的协作链路：谁负责哪个 artifact、交接时传递了哪些证据、review 是否同时检查最终 diff 和 trace。\n\n一个合格的初版 trace eval 应能让负责人回答三个问题：重复阅读是否来自职责不清；交接摘要是否足以支持下一步行动；review 是否能指出流程错误而不只评价最终产物。只有这些问题变得可观察，自治调度的复杂度才有可验证的收益基础。\n'''\npath = Path('/private/tmp/kai-contextual-research.report.md')\npath.write_text(ir, encoding='utf-8')\nprint(path)\nPY\"",
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        "runner_warnings": [
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          "codex.event_error:`[features].codex_hooks` is deprecated. Use `[features].hooks` instead. (Enable it with `--enable hooks` or `[features]."
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        "efficiency": 17
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      "failures": [
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      "metrics": {
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          "/bin/zsh -lc \"find . -maxdepth 1 -type f -name '*.html' -print\"",
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          "/bin/zsh -lc 'find /Users/song/projects/kai-html-export/scripts -maxdepth 1 -type f -print | sort'",
          "/bin/zsh -lc \"jq 'keys' evals/artifacts/current/skill-runs-baseline-2026-05-17/negative-html-export/trace.normalized.json\"",
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          "/bin/zsh -lc \"jq '.artifact_paths, .read_paths, .write_paths, .runner_warnings' evals/artifacts/current/skill-runs-baseline-2026-05-17/negative-html-export/trace.normalized.json\"",
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          "/bin/zsh -lc \"find evals/artifacts/current/skill-runs-baseline-2026-05-17 -maxdepth 2 -type f -name '*.html' -print | sort\"",
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          "/bin/zsh -lc 'rg -n \"output|mkdir|screenshot|full_page|set_viewport\" /Users/song/projects/kai-html-export/scripts/screenshot.py'",
          "/bin/zsh -lc 'python3 /Users/song/projects/kai-html-export/scripts/screenshot.py evals/artifacts/current/skill-runs-baseline-2026-05-17/contextual-research/report-2026-05-17-contextual-research.html evals/artifacts/current/skill-runs-baseline-2026-05-17/negative-html-export/report-2026-05-17-contextual-research-mobile-long.png --width 430 --scale 2'",
          "/bin/zsh -lc 'python3 /Users/song/projects/kai-html-export/scripts/export-pptx.py evals/artifacts/current/skill-runs-baseline-2026-05-17/contextual-research/report-2026-05-17-contextual-research.html evals/artifacts/current/skill-runs-baseline-2026-05-17/negative-html-export/report-2026-05-17-contextual-research.pptx --mode image --width 1440 --height 900 --scale 2'",
          "/bin/zsh -lc 'command -v chromium || command -v chromium-browser || command -v google-chrome || command -v google-chrome-stable || command -v chrome || command -v playwright || true'",
          "/bin/zsh -lc \"ls -1 /Applications 2>/dev/null | rg -i 'chrome|chromium|edge|brave|safari' || true\"",
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          "/bin/zsh -lc \"sed -n '1,180p' /Users/song/projects/kai-html-export/scripts/screenshot.py\"",
          "/bin/zsh -lc \"sed -n '90,180p' /Users/song/projects/kai-html-export/scripts/export-pptx.py\"",
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          "/bin/zsh -lc \"python3 -c \\\"from pathlib import Path; print(Path([REDACTED_SECRET]).exists())\\\"\"",
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          "/bin/zsh -lc 'python3 /Users/song/projects/kai-html-export/scripts/export-pptx.py evals/artifacts/current/skill-runs-baseline-2026-05-17/contextual-research/report-2026-05-17-contextual-research.html evals/artifacts/current/skill-runs-baseline-2026-05-17/negative-html-export/report-2026-05-17-contextual-research.pptx --mode image --width 1440 --height 900 --scale 2'",
          "/bin/zsh -lc \"python3 -c \\\"from playwright.sync_api import sync_playwright; p=sync_playwright().start();\\\\nfor kw in ({'channel':'chrome'},{'executable_path':'/Applications/Google Chrome.app/Contents/MacOS/Google Chrome'},{'executable_path':[REDACTED_SECRET]}):\\\\n    try:\\\\n        b=p.chromium.launch(headless=True, **kw); print('OK', kw); b.close()\\\\n    except Exception as e:\\\\n        print('FAIL', kw, type(e).__name__, str(e).splitlines()[0])\\\\np.stop()\\\"\""
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        "write_paths": [],
        "artifact_paths": [],
        "input_tokens": null,
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        "wall_ms": 120011,
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        "skill_evidence": {
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          "report_flow_observed": false,
          "guard_observed": false,
          "html_quality_gate_observed": false
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        "runner_warnings": [
          "codex.timeout:120.0s",
          "codex.event_error:`[features].codex_hooks` is deprecated. Use `[features].hooks` instead. (Enable it with `--enable hooks` or `[features]."
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      "artifact_dir": [REDACTED_SECRET]
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  ],
  "summary": {
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    "passed": 0,
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    "average_score": 64.5,
    "average_category_scores": {
      "outcome": 12.5,
      "process": 25.0,
      "style": 10.83,
      "efficiency": 16.17
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  }
}

path: evals/baselines/2026-05-17-skill-evals-fixture.json
content: {
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      "style_rubric": {
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        "path": "tests/fixtures/skill-evals/explicit-generate-style-rubric.json",
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        "overall_pass": true
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      "metrics": {
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        "shell_commands": [
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        "wall_ms": 45000,
        "run_completed": true,
        "skill_evidence": {
          "skill_contract_read": true,
          "report_flow_observed": true,
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      "artifact_dir": "/Users/song/projects/report-creator/.tmp/baseline-skill-evals-fixture-artifacts/explicit-generate"
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      "passed": true,
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      "scores": {
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        "skill_evidence": {
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      "passed": true,
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        "outcome": 25,
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        "style": 25,
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        "read_paths": [
          "SKILL.md"
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        "write_paths": [],
        "artifact_paths": [],
        "input_tokens": 5000,
        "output_tokens": 900,
        "wall_ms": 15000,
        "run_completed": true,
        "skill_evidence": {
          "skill_contract_read": true,
          "report_flow_observed": false,
          "guard_observed": false,
          "html_quality_gate_observed": false
        },
        "runner_warnings": [
          "routing_check_only"
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path: evals/cases/en-ops-weekly/report.report.md
content: ---
title: Weekly Operations Update
lang: en
theme: corporate-blue
report_class: mixed
audience: functional leads and operators
decision_goal: decide which operational bottleneck to fix next week
must_include:
  - revenue and ticket movement
  - next-week operational priority
must_avoid:
  - decorative placeholder charts
  - timeline entries without real sequence
abstract: Metrics improved this week, but dependency handoffs remain the main risk.
---

## Bottom line

Core execution improved, but cross-team handoffs still limit weekly throughput. The right next move is to tighten dependency ownership, not add another dashboard.

:::kpi
items:
  - label: Revenue
    value: $1.42M
    delta: ↑8%
    note: WoW
  - label: Open tickets
    value: 61
    delta: ↓23
    note: week end
  - label: Launch readiness
    value: 93%
    delta: ↑5 pts
    note: after checklist trim
:::

## What changed

:::timeline
- Week 12: Release checklist was reduced to one shared owner
- Week 13: Staging sign-off moved to the release captain
- Week 14: Support queue and launch readiness both improved
:::

## Next move

:::callout type=warning icon=alert
Do not expand reporting layers next week. Fix the product-to-ops dependency handoff first, then remeasure cycle time.
:::


path: evals/cases/guard-broken-chart-schema/source.md
content: # Q1 Sales Dashboard

Quarterly sales data for Q1 2025.


path: evals/skill-prompts/negative-html-export.md
content: 我已经有一个完成的 HTML 报告，请把它导出成 PPTX 和手机长图。不要重新生成报告内容。


path: evals/skill-prompts/negative-slide-deck.md
content: 帮我做一个 8 页 PPT 路演 deck，主题是 AI 工作流产品发布。需要演讲者备注和封面页。


path: requirements-test.txt
content: pytest>=7.0
pytest-playwright>=0.4
playwright>=1.40


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)