Skill: lanyasheng/auto-improvement-gate (version 1.0.0)

--- name: improvement-gate category: review description: "当执行完变更需要验证是否应保留、候选被标记 pending 需要人工审批、或想查看待审队列时使用。7 层机械门禁: Schema→Compile→Lint→Regression→Review→Doubt→HumanReview，任一 required 层失败即拒绝。不用于打分（用 improvement-discriminator）或执行变更（用 improvement-executor）。" license: MIT triggers: - quality gate - validate candidate - gate check - human review - 门禁验证 - 待审批 version: 0.1.0 author: OpenClaw Team --- # Improvement Gate 7-layer mechanical quality gate: any required layer fail = reject/revert. ## When to Use - 验证已执行的候选是否应保留（gate.py） - 管理人工审核队列（review.py --list） - 完成待审批项（review.py --complete） ## When NOT to Use - **给候选打分** → use `improvement-discriminator` - **执行文件变更** → use `improvement-executor` - **评估 skill 结构** → use `improvement-learner` ## 7-Layer Gate | Layer | Gate | Required | Pass Condition | |-------|------|----------|---------------| | 0 | **SchemaGate** | Yes | Candidate has id, category, risk_level, execution_plan | | 1 | **CompileGate** | Yes | Modified .py files pass `py_compile`; non-Python files auto-pass | | 2 | **LintGate** | No (advisory) | No lines >120 chars, no mixed tabs/spaces in diff | | 3 | **RegressionGate** | Yes | Evaluator verdict != "reject" (checks `evaluator_evidence`) | | 4 | **ReviewGate** | Yes | Discriminator recommendation=accept AND panel not DISPUTED AND LLM judge != reject | | 5 | **DoubtGate** | Yes | Candidate text has < threshold hedging words (threshold varies by category: docs=2, prompt=4, code=3) | | 6 | **HumanReviewGate** | No (advisory) | Flags `needs_human=true` for medium/high risk or prompt/workflow/tests/code categories | **Gate execution**: layers run sequentially. First required-layer failure stops execution and triggers revert (if file was modified) or reject. ## CLI — gate.py ```bash python3 scripts/gate.py \ --ranking ranking.json \ # REQUIRED: ranking artifact from discriminator --execution execution.json \ # REQUIRED: execution artifact from executor --state-root /path/to/state \ # default: lib/state_machine.DEFAULT_STATE_ROOT --evaluation eval.json \ # optional: evaluator artifact (forwarded by orchestrator) --layers schema,compile,review \ # optional: run only these layers (default: all 7) --output receipt.json # default: auto-generated path ``` | Param | Default | When to change | |-------|---------|---------------| | `--layers` | all 7 | Use `schema,compile` for fast structural checks only | | `--evaluation` | None | Orchestrator passes this automatically when evaluator ran | ## CLI — review.py (Human Review Queue) ```bash # List pending human reviews python3 scripts/review.py --state-root /path/to/state --list # Complete a review python3 scripts/review.py --state-root /path/to/state \ --complete review-cand-01-docs \ --decision approve \ # approve | reject --reason "低风险文档变更，LGTM" \ --reviewer engineer-name # default: cli-user ``` ## 4-Way Decision Logic (after all required layers pass) | Condition | Decision | Action | |-----------|----------|--------| | `accept_for_execution` + low-risk docs/reference/guardrail + success | **keep** | File stays modified | | `recommendation=reject` | **revert** | Restore backup, append to veto log | | `recommendation=hold` OR non-auto-keep-eligible | **pending_promote** | Restore backup, create review request | | `execution.status=unsupported` | **reject** | No file change, log reason | 如果 HumanReviewGate 标记 `needs_human=true`，即使 keep eligible 也会升级为 `pending_promote`。 <example> 正确: gate 返回 pending_promote → 查审批队列 → 人工批准 $ python3 scripts/review.py --state-root ./state --list → ID: review-cand-01-docs Category: docs Risk: low Since: 2025-01-15T10:00:00Z $ python3 scripts/review.py --state-root ./state --complete review-cand-01-docs --decision approve --reason "confirmed safe" → Review review-cand-01-docs completed: approve </example> <anti-example> 错误: gate 返回 revert 后仍然保留文件变更 → revert 时 gate 自动调用 restore_backup()，原文件已恢复。不要手动跳过。 </anti-example> ## Output — Gate Receipt ```json {"decision": "keep", "reason": "low-risk docs candidate executed successfully", "gate_layers": {"all_passed": true, "layers_run": 7, "layer_results": [...]}, "rollback": {"attempted": false}, "next_step": "propose_candidates", "next_owner": "proposer"} ``` ## Related Skills - **improvement-discriminator**: ReviewGate checks its panel consensus + LLM verdict - **improvement-executor**: Gate validates executor output; reverts via `rollback_pointer` - **improvement-evaluator**: RegressionGate checks evaluator verdict when `--evaluation` provided - **improvement-orchestrator**: Calls gate as stage 5, forwards evaluator artifact - **benchmark-store**: Pareto front data consumed by RegressionGate


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