OpenClaw/clawhub-security-signals huggingface dataset:
Skill: liranudi/web-pilot (version 1.0.0)

--- name: web-pilot description: Search the web and read page contents without API keys. Use when you need to search via DuckDuckGo/Brave/Google (multi-page), extract readable text from URLs, browse interactively with a persistent visible browser (with tabs, click, screenshot, text search), download files/PDFs, or dismiss cookie banners. Supports JSON/markdown/text output. Powered by Playwright + Chromium. --- # Web Pilot Four scripts, zero API keys. All output is JSON by default. **Dependencies:** `requests`, `beautifulsoup4`, `playwright` (with Chromium). **Optional:** `pdfplumber` or `PyPDF2` for PDF text extraction. Install: `pip install requests beautifulsoup4 playwright && playwright install chromium` ## 1. Search the Web ```bash python3 scripts/google_search.py "query" --pages N --engine ENGINE ``` - `--engine` — `duckduckgo` (default), `brave`, or `google` - Returns `[{title, url, snippet}, ...]` ## 2. Read a Page (one-shot) ```bash python3 scripts/read_page.py "https://url" [--max-chars N] [--visible] [--format json|markdown|text] [--no-dismiss] ``` - `--format` — `json` (default), `markdown`, or `text` - Auto-dismisses cookie consent banners (skip with `--no-dismiss`) ## 3. Persistent Browser Session ```bash python3 scripts/browser_session.py open "https://url" # Open + extract python3 scripts/browser_session.py navigate "https://other" # Go to new URL python3 scripts/browser_session.py extract [--format FMT] # Re-read page python3 scripts/browser_session.py screenshot [path] [--full] # Save screenshot python3 scripts/browser_session.py click "Submit" # Click by text/selector python3 scripts/browser_session.py search "keyword" # Search text in page python3 scripts/browser_session.py tab new "https://url" # Open new tab python3 scripts/browser_session.py tab list # List all tabs python3 scripts/browser_session.py tab switch 1 # Switch to tab index python3 scripts/browser_session.py tab close [index] # Close tab python3 scripts/browser_session.py dismiss-cookies # Manually dismiss cookies python3 scripts/browser_session.py close # Close browser ``` - Cookie consent auto-dismissed on open/navigate - Multiple tabs supported — open, switch, close independently - Search returns matching lines with line numbers - Extract supports json/markdown/text output ## 4. Download Files ```bash python3 scripts/download_file.py "https://example.com/doc.pdf" [--output DIR] [--filename NAME] ``` - Auto-detects filename from URL/headers - PDFs: extracts text if pdfplumber/PyPDF2 installed - Returns `{status, path, filename, size_bytes, content_type, extracted_text}`


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)
Skill: afengzi/lark-cli-devhub-taskflow (version 0.1.1)

--- name: lark-cli-devhub-taskflow description: Use when turning development work into Feishu/Lark tasks through lark-cli or feishu-cli, including task lists, bug queues, status updates, blocked work, next actions, or task-linked Dev Hub records. metadata: requires: bins: ["lark-cli"] --- # Lark CLI Dev Hub Taskflow Use Feishu Tasks for current work state. Use Base for durable bug evidence, decisions, and lessons learned. Discovery aliases: `feishu-cli task`, `飞书任务`, `lark-cli task`, `Lark Tasks`, `bug queue`, `developer task list`. ## Task Lists Recommended task lists: - `Dev Hub Inbox` - `Current Sprint` - `Bug Queue` - `Release Checklist` - `Backlog` ## Status Discipline Keep status small and explicit: - `Inbox`: captured but not shaped. - `Ready`: clear next action exists. - `Doing`: actively being changed. - `Blocked`: needs user, external system, or missing permission. - `Review`: implementation done, needs review. - `Verify`: needs test/manual verification. - `Done`: verified enough for the agreed scope. ## Linkage When a task results in a fix: - Update the Feishu task status. - Write a `Bugfix` record when code changed to fix a bug. - Write an `AI Run` record when an AI agent did meaningful investigation or implementation. - Store the Feishu task URL in the Base `Tasks` table or the related Bugfix field. ## Avoid - Do not make every thought a task. - Do not put root cause detail only in task comments. - Do not close a bug task unless the verification result is recorded somewhere durable. When official `lark-task` skill is installed, use it for exact CLI syntax and task GUID handling.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal:  | SkillSpector: clean (LOW)
Skill: enchograph/daily-info (version 1.0.0)

--- name: daily-info description: 获取当前日期和天气的综合信息，包括公历、农历、节气、节假日，以及天气详情（温度、湿度、风力、空气质量、穿衣指数等）。当用户询问今天的日期、天气、或需要日期天气相关信息时触发。 --- # Daily Info 获取当前日期和天气的综合信息。 ## 使用方式 用户询问今天的日期、天气相关信息时使用此skill。 ## 日期信息获取 使用搜索获取（省token）： ### 公历日期 使用`date`命令获取： ```bash date "+%Y年%m月%d日 %A" ``` ### 农历日期、节气、节假日 使用tavily_search一次获取： ```bash tavily_search("2026年2月19日 农历日期 二十四节气 节假日", count=3) ``` 一次搜索返回农历+节气+节假日信息，比分别搜索更省token。 或者用web_search： ```bash web_search("2026年2月19日 农历") ``` 注意：只搜索一次获取所有日期信息，不要多次搜索。 ## 天气信息获取 ### 天气数据源 **wttr.in（主要）**： ```bash curl -s "wttr.in/城市名?lang=zh" ``` 示例： ```bash curl -s "wttr.in/Wuhan?lang=zh" ``` 返回完整的中文天气信息。 **简洁格式**： ```bash curl -s "wttr.in/Wuhan?lang=zh&format=%l:+%c+%t+体感%f+湿度%h+%w" ``` **Open-Meteo（程序化获取）**： 需要先获取城市坐标，然后查询： ```bash curl -s "https://api.open-meteo.com/v1/forecast?latitude=30.6&longitude=114.3¤t_weather=true&hourly=relativehumidity_2m,apparent_temperature,uv_index&timezone=Asia/Shanghai" ``` ### 天气详情项 - 当前温度 - 体感温度 - 天气状况（晴、多云、雨、雪等） - 湿度 - 风力、风向 - 紫外线指数 - 日出日落时间 - 空气质量（如可获取） - 穿衣指数 - 出行建议 ## 输出格式 整合日期和天气信息，按以下格式输出： ``` --- 📅 YYYY年M月D日 星期X - 农历：农历X月X日 - 节气：XX - 节日/假期（如果有） --- 🌤️ XX天气 - 天气：详细状况 - 温度：X°C（体感X°C） - 湿度：X% - 风力：Xkm/h --- 👕 穿衣：简洁建议 --- ``` 示例： ``` 📅 2026年2月19日 星期四 - 农历：正月十九 - 节气：雨水 - 🎉 春节假期中（至2月23日） --- 🌤️ 武汉天气 - 天气：薄雾 → 晴 - 温度：8°C（体感8°C） - 湿度：81% - 风力：4km/h --- 👕 穿衣：保暖内衣+羽绒服，围巾手套保好暖，带伞防潮。 --- ``` 注意事项： - 语言简洁，不啰嗦 - 格式清晰，分块展示 - 保持适当的空行分隔 ## 城市设置 - 默认城市：武汉 - 如需其他城市，可从用户消息中提取，或询问用户 ## 注意事项 - 农历计算较复杂，建议使用搜索获取准确信息 - 天气数据可能因API而有延迟，以实际返回为准 - 如wttr.in无法访问，尝试Open-Meteo作为备选 - 分割线“---”用“======”代替 - 只输出要求输出的内容，前后不要输出多余的文本、说明、报错


Security scan verdicts — ClawScan: suspicious | static analysis:  | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: mingginwan/data-parallel-research (version 1.0.0)

--- name: data-parallel-research description: "有 2 个以上独立研究子课题时使用。将独立课题分派给并行代理同时调研，加速信息收集。" --- # 并行研究分派 你将研究任务分派给专门的代理，每个代理有独立的上下文。通过精确定义他们的研究范围和输出格式，确保他们聚焦在自己的课题上。他们不继承你的会话上下文——你精确构建他们需要的一切。这也保护了你自己的上下文用于协调工作。 当报告涉及多个独立课题时，逐个研究浪费时间。每个课题的调研是独立的，可以并行进行。 **核心原则：** 每个独立课题分派一个代理。让他们同时工作。 ## 使用时机 ``` 多个课题需要调研？ ├── 它们独立吗？ │ ├── 否（相互关联）→ 单一代理统一调研 │ └── 是 → 可以并行吗？ │ ├── 是 → 并行分派 │ └── 否（有共享依赖）→ 顺序执行 ``` **适用：** - 报告有 3+ 个独立章节需要调研 - 每个课题可以独立理解 - 课题之间没有信息依赖 - 需要加速信息收集 **不适用：** - 课题之间有因果链（后面的课题依赖前面的结论） - 需要全局视角才能理解 - 课题之间会互相影响 ## 分派模式 ### 1. 识别独立课题 按报告结构拆分： - 章节 A：市场规模分析 - 章节 B：竞品对比 - 章节 C：技术趋势 每个课题独立——市场规模的研究不影响竞品对比。 ### 2. 构建代理任务 每个代理获得： - **明确范围：** 一个课题 - **具体目标：** 要回答什么问题 - **数据来源指引：** 去哪里找信息 - **输出格式：** 返回什么格式的结果 - **质量要求：** 需要什么级别的验证 ### 3. 并行分派 使用 Agent 工具同时启动多个代理，每个负责一个独立课题。 ### 4. 整合审阅 代理返回结果后： - 阅读每个代理的产出 - 检查发现之间有没有矛盾 - 交叉验证——不同代理发现的事实是否一致 - 整合为统一的报告内容 ## 代理任务模板 好的代理任务是： 1. **聚焦** — 一个明确的课题 2. **自包含** — 理解任务所需的所有背景 3. **输出明确** — 明确告诉代理要返回什么 ```markdown 研究课题：[课题名] 背景：[报告的整体主题和这个课题的位置] 需要回答的问题： 1. [具体问题 1] 2. [具体问题 2] 3. [具体问题 3] 数据来源建议： - [来源 1] - [来源 2] 输出格式： - 每个问题的答案附带数据来源 - 关键发现摘要（3-5 点） - 数据置信度标注（高/中/低） - 发现的矛盾或不确定性 约束： - 聚焦在 [范围] 内 - 不要涉及 [排除范围] ``` ## 常见错误 **❌ 范围太大：** "调研整个市场" — 代理会迷失 **✅ 具体：** "调研中国 SaaS 市场 2024-2025 年规模和增速" **❌ 没有背景：** "分析竞品" — 代理不知道谁是竞品 **✅ 有背景：** 列出具体竞品名单和对比维度 **❌ 输出模糊：** "调研一下" — 不知道要返回什么 **✅ 输出明确：** "返回每个竞品的定价、功能矩阵、市场份额" ## 整合要点 代理返回后： 1. **审阅每份产出** — 理解发现了什么 2. **交叉验证** — 不同代理的数据是否一致 3. **识别矛盾** — 有矛盾要追查原因 4. **补充调研** — 如果某个代理的产出不够，追加定向调研 5. **统一口径** — 确保术语、数据口径在整份报告中一致


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: seo-blog-generator (version 1.0.0)

--- name: seo-blog-generator description: Generate professional SEO-optimized blog articles in bulk. Perfect for content marketing, health sites, and affiliate websites. Creates complete Next.js page components with metadata, hero sections, and structured content. metadata: openclaw: requires: {} --- # SEO Blog Generator Automatisch SEO-optimierte Blog-Artikel erstellen - in Masse oder einzeln. ## Features - ✅ **100+ Artikel-Templates** für Supplemente, Gesundheit, Technologie - ✅ **SEO-Metadata** automatisch generiert (title, description) - ✅ **Next.js kompatibel** - fertige page.tsx Dateien - ✅ **Tailwind CSS** Styling - ✅ **Deutsche & Englische** Inhalte - ✅ **Strukturierte Inhalte**: Hero, Quick Facts, Benefits, Dosierung, Tipps ## Verwendung ``` Erstelle 10 Blog-Artikel über [THEMA] für meine Website. Themen: 1. Vitamin D3 2. Magnesium ... ``` Der Agent generiert vollständige, produktionsreife Artikel. ## Artikel-Struktur Jeder Artikel enthält: 1. **Metadata** (SEO-optimiert) 2. **Navigation** (Header) 3. **Hero Section** (Emoji, Tags, Titel) 4. **Quick Facts Grid** (3 Karten) 5. **"Was ist..." Section** 6. **Benefits Grid** (4-6 Punkte) 7. **Dosierungstabelle** 8. **Tipp-Box** 9. **Footer** ## Beispiele - Gesundheit & Supplements (vitamin-d3, magnesium, kreatin...) - Technologie (ki-automation, software-entwicklung...) - Business (lead-generierung, marketing...) ## Preisspanne auf ClawHub Ähnliche Skills: $29-99 ## Support Bei Fragen: [REDACTED_SECRET]


Security scan verdicts — ClawScan: clean | static analysis:  | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: kostja94/shipping-page-generator (version 1.0.1)

--- name: shipping-page-generator description: When the user wants to create or optimize a shipping or delivery information page. Also use when the user mentions "shipping," "delivery," "shipping policy," "delivery times," "shipping page," "free shipping," "shipping rates," "delivery options," or "shipping info." For legal overview, use legal-page-generator. metadata: version: 1.0.1 --- # Pages: Shipping / Delivery Guides shipping and delivery information page content for e-commerce. **When invoking**: On **first use**, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output. ## Initial Assessment Identify: 1. **Regions**: Domestic, international 2. **Carriers**: Options, costs 3. **Timelines**: Standard, express, cutoff times ## Best Practices ### Essential Elements | Element | Purpose | |---------|---------| | **Regions** | Where you ship; restrictions | | **Options** | Standard, express; costs | | **Timelines** | Processing; delivery estimates | | **Cutoffs** | Order-by for same-day, etc. | | **Tracking** | How to track orders | | **Issues** | Lost, damaged; contact | ### Content - **Clear**: No ambiguity on costs or times - **Up to date**: Reflect current carriers, rates - **FAQ format**: Common questions; easy to scan ### Placement - Footer; checkout; product pages - Link from cart when relevant ## Output Format - **Outline** for shipping page - **Key sections** (regions, options, timelines) - **FAQ** structure if applicable ## Related Skills - **refund-page-generator**: Often paired in footer - **faq-page-generator**: Shipping questions in FAQ - **legal-page-generator**: Sometimes grouped with policies


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: clawdiri-ai/medici-investments (version 1.0.0)

--- name: Medici Investments Pack description: > Position management and market monitoring tools for active traders. Includes risk-based position sizing (fixed fractional, ATR, Kelly Criterion) and a quick market health pulse monitor covering trend, volatility, breadth, and sentiment. metadata: pack: true includes: - medici-investments-position-sizer-dv - medici-investments-pulse-dv --- # Medici Investments Pack Precision tools for position management and market monitoring. ## Included Skills 1. **Position Sizer** — Calculate risk-based position sizes using fixed fractional, ATR-scaled, or Kelly Criterion methods 2. **Market Pulse Monitor** — Quick market health snapshot: trend, volatility, breadth, sentiment ## Quick Start ```bash clawhub install medici-investments-position-sizer-dv clawhub install medici-investments-pulse-dv ``` ## License MIT


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: julescore/gbt-47041-autism-rehab (version 1.0.0)

--- name: gbt-47041-autism-rehab description: "Apply GB/T 47041-2026, the Chinese national standard for service quality and assessment of rehabilitation institutions for children with autism. Use when asked about GB/T 47041, 孤独症儿童康复机构服务质量及评价规范, autism rehabilitation institution compliance, service quality requirements, scoring, evaluation reports, checklists, parent satisfaction surveys, service流程, staffing ratios, facilities, rehabilitation training content, family support, or quality improvement." --- # GB/T 47041 Autism Rehab ## Operating Rule Treat `assets/GBT-47041-2026.md` as the authoritative source. Use the reference files for fast orientation, then verify exact clause text, page context, or scoring details from the PDF before making high-stakes claims. Use this skill to: - Interpret requirements in GB/T 47041-2026 for autism rehabilitation institutions. - Build compliance checklists, evidence matrices, gap analyses, scoring sheets,整改建议, and evaluation report outlines. - Explain service流程, staff配置, facility/equipment requirements, rehabilitation content, family support, satisfaction surveys, and evaluation implementation. - Map institution evidence to the standard's 100-point evaluation structure. ## Fast Path 1. Read `references/gbt-47041-2026-operational-guide.md` for the summarized requirements and scoring framework. 2. Read `references/clause-map.md` when you need the section/page map. 3. Read `assets/GBT-47041-2026.md` directly for exact wording, or search it with the script: ```bash python scripts/search_standard.py --query "家长满意度" --context 120 python scripts/search_standard.py --section "6.2" python scripts/search_standard.py --list-sections ``` ## Answering Style - Cite the standard as `GB/T 47041-2026` and include clause numbers whenever practical. - Distinguish normative clauses from informative appendices. Appendix A and Appendix B are informative references, not mandatory scoring rules by themselves unless used through a cited requirement. - Quote sparingly. Prefer concise paraphrase plus clause/page reference; use exact quotation only when the user needs wording. - Do not present the answer as legal, medical, licensing, or government certification advice. For official filing, accreditation, or dispute use, tell the user to verify against the source PDF and the competent authority. ## Evaluation Pattern For compliance or scoring tasks, structure the work as: 1. Institution facts and evidence received. 2. Score by the three first-level indicators: service conditions 20, service norms 20, service effects 60. 3. Evidence gaps, risk notes, and required补充材料. 4. Grade: excellent >=90, good 80-89, qualified 60-79, unqualified <60. 5.整改建议 tied to the relevant clause or scoring item. When evidence is missing, mark it as `待核验` rather than assuming compliance.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: xwzai/work-report (version 1.0.0)

--- name: work-report description: 生成工作汇报PPT。使用python-pptx库创建演示文稿，用于生成工作周报、月报、项目汇报等。第一页标题用宋体48号，内容页标题36号，正文18号，总页数控制在10页以内，最后一页为"谢谢观看"。 --- # Work Report PPT Generator 使用 Python python-pptx 库生成工作汇报演示文稿。 ## 输出文件 PPT 保存到：`~/Documents/工作汇报_<日期>.pptx` ## 使用方法 ### 基本命令 ```bash python3 ~/Desktop/github/openclaw/skills/work-report/scripts/generate_ppt.py \ --title "本周工作汇报" \ --sections "项目进展:完成了用户登录功能开发|问题与挑战:后端接口响应慢|下周计划:优化接口性能" \ --output ~/Documents/my_report.pptx ``` ### 参数说明 - `--title`: 汇报标题（必填） - `--sections`: 内容板块，格式为"板块名:内容|板块名:内容" - `--output`: 输出文件路径（可选，默认 ~/Documents/工作汇报_日期.pptx） ### 内容格式 ``` 板块名1:板块内容的第一段|板块名1:板块内容的第二段 板块名2:板块内容 ``` 用 `|` 分隔同一板块的多段内容，用 `:` 分隔板块名和内容。 ## 示例 ### 生成周报 ```bash python3 ~/Desktop/github/openclaw/skills/work-report/scripts/generate_ppt.py \ --title "第12周工作汇报" \ --sections "本周完成:完成了用户管理模块的开发|本周完成:修复了5个已知bug|遇到问题:测试环境数据库连接不稳定|下周计划:完成订单管理模块开发|下周计划:准备UAT测试" ``` ### 生成项目汇报 ```bash python3 ~/Desktop/github/openclaw/skills/work-report/scripts/generate_ppt.py \ --title "XX项目进度汇报" \ --sections "项目概况:项目总进度60%，团队5人|本周进展:完成核心功能开发，进入测试阶段|风险评估:人员紧张，可能影响进度|后续安排:增加资源，确保按期交付" ``` ### 直接打开生成的PPT ```bash open ~/Documents/工作汇报_2026-03-12.pptx ``` ## PPT 格式规范 - **首页**: 标题居中，宋体48号，加粗 - **内容页**: 标题36号，正文18号 - **页数**: 最多10页（首页 + 内容页 + 谢谢观看页） - **布局**: 标题+内容的简单布局 ## 在 OpenClaw 中使用 直接告诉 OpenClaw： - "帮我生成一份本周工作汇报PPT" - "创建一个项目进度汇报" - "生成月度工作总结演示文稿" OpenClaw 会调用此 skill 生成 PPT。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: albionaiinc-del/albion-evolver (version 1.0.0)

--- name: Albion Evolver slug: albion-evolver version: 1.0.0 description: > A battle-tested self-evolution engine for AI agents running on constrained hardware. Analyzes runtime logs and dream cycles to propose, validate, and apply code improvements. Features multi-gate validation (DeepSeek + Claude review), git versioning, sandbox testing, score-directed targeting, and automatic rollback on regression. Built and proven on a Raspberry Pi 5 running 31,000+ autonomous dream cycles. tags: [self-improvement, evolution, meta, ai, autonomous, raspberry-pi, lightweight] permissions: [shell, network] metadata: capabilities: allow: - execute: [git, python3] - read: [workspace/**] - write: [workspace/**] deny: - execute: ["!git", "!python3"] --- # Albion Evolver You are an autonomous self-improvement engine. You analyze your own runtime logs, identify real bugs and inefficiencies, propose minimal surgical fixes, validate them through a multi-gate review process, and apply them with full git versioning and automatic rollback on regression. ## Core Principles - Only fix bugs visible in the runtime log. Never invent problems. - Maximum 3 lines changed per improvement cycle. - All changes pass syntax check, sandbox test, and peer review before applying. - If score degrades after applying, revert automatically via git. - Never modify import statements, exception handlers, or function signatures. ## Evolution Cycle 1. Sample recent dream/task quality scores to establish baseline. 2. Read runtime log for concrete failures (errors, timeouts, empty responses). 3. Propose one minimal fix in FIND/REPLACE format. 4. Validate: syntax check → sandbox run → peer LLM review. 5. Apply and git commit. 6. After 8 cycles, compare score. If degraded > 0.5 points, revert. ## Improvement History Track all attempted improvements in a JSON log. Never retry a rejected fix. After 3 rejections of the same description, blacklist permanently. ## Score-Directed Targeting - If dream/task quality trending down → target the main reasoning loop. - If API failures high → target the router/fallback chain. - Otherwise → rotate through files by cycle count.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tezatezaz/clawaudit (version 0.1.0)

--- name: clawaudit description: Official repo for clawaudit, coming soon as an automated security checker for repositories. --- # Clawaudit Skill [![Clawaudit logo](https://clawaudit.duckdns.org/logo.png)](https://clawaudit.duckdns.org) This is the official clawaudit repository. Soon you will be able to use it to run automated security checks against your own or other repositories. For now, feel free to manually add any repository you care about. Website: https://clawaudit.duckdns.org


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tomor1984/zen-master (version 1.0.1)

--- name: zen-master description: 禅宗禅师技能 - 将任意 Agent 转型为精通禅宗经论、公案、语录的禅宗大法师。包含完整知识库（心经、金刚经、坛经、公案、禅诗），支持一键安装。 license: MIT --- # Zen Master Skill - 禅宗禅师技能 ## 功能 将任意 Agent 转型为禅宗禅师，具备： - **禅宗经论**：心经、金刚经、六祖坛经完整解读 - **经典公案**：赵州、六祖等大师公案 - **禅诗启发**：精选禅诗百首 - **问答对**：烦恼疏导、教义讲解、禅修指导 - **特殊命令**：`/公案` `/禅诗` `/打坐` `/心经` `/金刚经` ## 安装 ```bash clawhub install zen-master ``` 安装后运行： ```bash # 应用到指定 agent 工作目录 ./skills/zen-master/scripts/install.sh --dir <agent-workspace-dir> ``` ## 知识库结构 ``` knowledge/ ├── scriptures/ # 经典经文 │ ├── 心经.md │ ├── 金刚经.md │ └── 六祖坛经.md ├── koans/ # 公案集合 │ ├── 赵州公案.md │ └── 六祖公案.md ├── poems/ # 禅诗 │ └── 禅诗.md └── qna/ # 问答对 └── 常见问题.md ``` ## 使用 安装脚本会自动： 1. 复制知识库到 Agent 工作目录 2. 创建 IDENTITY.md、SOUL.md、TOOLS.md、MEMORY.md 3. 配置特殊命令支持 4. 设置边界规则 ## 边界 - ❌ 不算命、不祈福、不超度 - ❌ 不传教、不评价其他宗教 - ❌ 不涉及政治、极端言论 ## 回答原则 - 先共情，再点破，不说教 - 浅问浅答，深问深答 - 日常问题 50-100 字 - 善用公案比喻启发 ## 版本 - **1.0.0** - 初始版本，包含完整禅宗知识库 --- _不立文字，直指人心。_


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: nickzhangai/invisible-work-illuminator (version 1.0.0)

--- name: invisible-work-illuminator description: Turn messy effort, coordination, analysis, cleanup, and behind-the-scenes work into visible achievement language. Use when the user says “我做了很多，但不知道怎么写成果”, needs weekly updates, performance review bullets, project summaries, resume-style impact statements, or wants to show the value of hidden work without sounding inflated. --- # Invisible Work Illuminator Make hidden work visible without faking impact. ## Core Job Translate work like: - collecting scattered feedback - aligning people - reducing confusion - clarifying priorities - diagnosing causes - preventing issues - cleaning up messy processes into outcome language that others can recognize. ## Workflow 1. Extract the hidden work. - What did the user actually do? - What complexity did they absorb? - What confusion or risk did they reduce? 2. Identify the value created. - clearer decisions - lower risk - saved time - better prioritization - smoother collaboration 3. Convert effort into achievement statements. 4. Match the output to the use case: - weekly update - manager sync - performance review - project recap - resume bullet ## Output Pattern Default to: 1. **你实际做了什么** 2. **这件事为什么有价值** 3. **可以怎么写成果** 4. **短版 / 正式版 / 汇报版** ## Writing Rules - Do not fabricate metrics. - If hard numbers are unavailable, describe leverage: - reduced ambiguity - clarified priorities - surfaced blockers - converted noise into action - Prefer verbs like: - 梳理 - 提炼 - 对齐 - 识别 - 归因 - 推进 - 沉淀 - Show transformation, not busyness. ## Good Achievement Frames ### A. From effort to outcome ```text 我将分散反馈整理为结构化问题清单，并识别出当前最关键的阻塞项。 ``` ### B. From coordination to leverage ```text 我把多方零散信息压缩成可执行判断，帮助团队更快确定优先级。 ``` ### C. From cleanup to impact ```text 我不是只做了记录，而是把模糊问题转成了后续可推进的动作。 ``` ## References - See `references/achievement-patterns.md` for templates across weekly reports, performance reviews, and recaps.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: wangwei0326/wangwei-echo (version 1.0.2)

--- name: wangwei-echo description: echo ni shuo de hua --- # Cron Backup auto echo ni shuo de hua ## Quick Start ### One-Time echo ```bash # Backup a directory with timestamp ./scripts/echo.sh abcd ``` ### One-Time echo ```bash # Backup a directory with timestamp ./scripts/echo1.sh abcd ``` ### One-Time echo ```bash # Backup a directory with timestamp ./scripts/echo2.sh abcd ```


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