OpenClaw/clawhub-security-signals huggingface dataset:
Skill: sky-lv/error-monitoring-agent (version 1.0.0)

--- name: error-monitoring-agent slug: error-monitoring-agent version: 1.0.0 description: "Error monitoring and alerting for AI agents. Detect, track, and resolve errors in real-time. Triggers: error monitoring, error tracking, alerting, exception handling, error analysis." author: SKY-lv license: MIT-0 tags: [monitoring, debugging, alerting] keywords: [error monitoring, error tracking, alerting, exception handling, error analysis, bug tracking, incident detection, real-time monitoring] triggers: error-monitoring-agent --- # Error Monitoring Agent Real-time error monitoring and alerting for AI agents. Detect, track, analyze, and resolve errors automatically. ## Overview A comprehensive error monitoring system that helps agents detect exceptions in real-time, track error patterns, set up intelligent alerts, and automate resolution workflows. ## Capabilities ### 1. Error Detection ```bash node monitor.js watch --source logs,api,workers --threshold 5/min node monitor.js watch --pattern "UnhandledPromiseRejection|ENOTFOUND" ``` Monitors multiple sources for errors with configurable thresholds and pattern matching. ### 2. Error Aggregation ```bash node monitor.js aggregate --group-by stacktrace --min-similarity 0.85 node monitor.js aggregate --time-window 1h --top 20 ``` Groups similar errors together to reduce noise and identify patterns. ### 3. Alert Rules ```bash node monitor.js alert --rule "error_rate > 10/min" --channel slack node monitor.js alert --rule "new_error_type" --channel pagerduty --severity critical node monitor.js alert --rule "error_spike > 3x_baseline" --channel email ``` Configurable alerting with rate thresholds, new error detection, and spike monitoring. ### 4. Root Cause Analysis ```bash node monitor.js analyze --error-id err_abc123 --depth 5 node monitor.js analyze --correlate deploy-log,config-change ``` Traces error chains, correlates with deployments and config changes. ### 5. Auto-Resolution ```bash node monitor.js auto-resolve --strategy restart,retry,rollback node monitor.js auto-resolve --known-fixes db --apply-approved ``` Automatically resolves known error patterns with approved remediation strategies. ## Configuration ```json { "monitoring": { "sources": ["application", "infrastructure", "api"], "sampling": 1.0, "retention": "30d", "alertRules": [ { "condition": "error_rate > 10/min", "action": "page-oncall" }, { "condition": "new_error_type", "action": "notify-channel" }, { "condition": "error_spike > 3x", "action": "auto-investigate" } ], "autoResolve": { "enabled": true, "approvedStrategies": ["restart-service", "retry-request", "rollback-deploy"] } } } ``` ## Use Cases - Production Monitoring: Watch production systems for errors 24/7 - CI/CD Integration: Monitor deployment health after releases - Agent Health: Track AI agent errors and failures - Incident Response: Detect and respond to incidents automatically - Error Budgets: Track error rates against SLO targets


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: a3273283/vwu-sora (version 1.0.0)

# sora Models for vwu.ai vwu.ai 平台上的 sora 模型调用技能。 ## 支持的模型 - sora-2 共 1 个模型。 ## 配置 使用前需要设置 vwu.ai API key: ```bash export VWU_API_KEY="your-key-here" ``` 获取 key: https://vwu.ai 控制台 ## 使用示例 ```bash # 调用模型 vwu-chat --model sora-2 "你的问题" ``` ## API 兼容性 所有模型兼容 OpenAI API 格式，支持标准 chat completions 接口。 ## 额度提示 如果使用时提示"额度不足"或类似错误： 1. 访问 https://vwu.ai 2. 在控制台充值或调整额度 3. 或生成新的 API key --- 由 Claw 自动生成 | 源数据: vwu.ai


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ckchzh/age (version 1.0.0)

--- name: age version: 1.0.0 description: > age file encryption reference — the modern, simple alternative to GPG. Covers key generation, X25519 encryption, SSH key support, passphrase mode, pipe patterns, SOPS integration, YubiKey plugins, and security considerations. By Filippo Valsorda. author: BytesAgain homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills tags: [age, encryption, security, gpg, x25519, sops, privacy, crypto] --- # age Encryption Reference Simple, modern file encryption with age. ## Commands | Command | Description | |---------|-------------| | `intro` | Overview, philosophy, GPG comparison | | `keygen` | Key generation, SSH keys, management | | `encrypt` | Encryption operations and pipe patterns | | `decrypt` | Decryption and error handling | | `recipes` | Backups, git, team sharing, SOPS | | `plugins` | YubiKey, TPM, rage, passage ecosystem | | `security` | Threat model and security limits |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: justinburdett/rssaurus (version 1.0.1)

--- name: rssaurus-cli description: "Use the RSSaurus command-line client (Go binary `rssaurus`) to interact with https://rssaurus.com from the terminal: authenticate (`rssaurus auth login/whoami`), list feeds/items, print item URLs for piping, open URLs, and perform triage actions (mark read/unread, bulk mark-read, save/unsave). Use when asked to automate RSSaurus tasks from CLI, debug token/config issues, or demonstrate command usage." --- # RSSaurus CLI Use the installed `rssaurus` binary on this machine to interact with RSSaurus. ## Quick checks (when something fails) 1) Confirm binary exists: ```bash which rssaurus rssaurus --version || true ``` 2) Confirm auth works: ```bash rssaurus auth whoami ``` ### Privacy note - Do **not** print (e.g. `cat`) the RSSaurus CLI config file contents; it can contain API tokens. - If auth fails, prefer re-authenticating (`rssaurus auth login`) or asking the user to paste only non-sensitive details (error output, host, etc.). ## Common tasks ### List feeds ```bash rssaurus feeds rssaurus feeds --json ``` ### List items Unread by default: ```bash rssaurus items --limit 20 ``` Filter by feed: ```bash rssaurus items --feed-id 3 --limit 20 ``` Machine-friendly URL output (one per line): ```bash rssaurus items --limit 20 --urls ``` Cursor paging: ```bash rssaurus items --limit 50 --cursor <cursor> ``` ### Open a URL ```bash rssaurus open https://example.com ``` ### Mark read/unread These require item IDs (get them via `--json`). ```bash rssaurus items --limit 5 --json rssaurus read <item-id> rssaurus unread <item-id> ``` Bulk mark read: ```bash rssaurus mark-read --all # or rssaurus mark-read --ids 1,2,3 # optional rssaurus mark-read --all --feed-id 3 ``` ### Save / unsave ```bash rssaurus save https://example.com --title "Optional title" # unsave requires an id (obtain via --json output from the API response or future saved-items listing) rssaurus unsave <saved-item-id> ``` ## Output conventions (privacy) - Default human output avoids printing internal DB IDs. - Use `--json` output when IDs are required for scripting or write actions. ## References - CLI repo: https://github.com/RSSaurus/rssaurus-cli - Homebrew tap: https://github.com/RSSaurus/tap - Token creation: https://rssaurus.com/api_tokens/new


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tradealpha-coder/tradealpha-news (version 1.0.1)

--- name: tradealpha-news-v2 description: 获取 TradeAlpha 实时新闻和语义检索结果。适用于用户提到 TradeAlpha 新闻、今日新闻、路透、彭博、Truth、国内资讯、研报快讯，或要求按主题、事件、公司、叙事检索相关新闻的场景。通过聊天向用户索取 token，并在当前会话中复用，不读取环境变量，不写入本地文件。 version: 2.1.3 --- # TradeAlpha News V2 获取 TradeAlpha 新闻时，优先使用这个 Skill。 它支持两类任务： - 实时新闻列表 - 主题、事件、公司、叙事相关的语义检索 ## Workflow 1. 先判断用户要的是实时新闻列表，还是语义检索。 2. 在任何接口调用前，必须先检查当前会话里是否已有用户提供的 `TradeAlphaToken`。 3. 如果当前会话里还没有 `TradeAlphaToken`，不要构造请求、不要调用接口，必须先提示用户直接在聊天里输入 token，并附上官网链接 `https://quantaccess.lxaa.top/`。 4. 用户一旦提供过 token，后续同一会话中的所有 TradeAlpha 请求都默认复用这个 token，不要重复索取，除非 token 失效、过期，或用户明确提供了新 token 要求替换。 5. 不要要求用户设置环境变量，也不要把 token 写入本地文件。 6. 调用 TradeAlpha HTTP 接口并返回结构化结果。 7. 用中文总结重点内容；如果结果很多，优先总结再列关键新闻。 8. 如果 token 无效、过期、没有额度或接口无权限，要求用户在聊天里重新发送最新 token 或前往官网处理，并附上 `https://quantaccess.lxaa.top/`。 ## Endpoints - Realtime news: `https://openapi.lxaa.top/api/v1/news/realtime_news` - Semantic search: `https://openapi.lxaa.top/api/v1/news/news_vector_search` Send `Content-Type: application/json` and include `token` in the JSON body. ## Rules - 用户说“今天新闻”“今日新闻”时，实时新闻优先传 `timeframe: "today"`。 - 语义检索必须传 `keyword`，并支持同时传入 `start_time` 和 `end_time` 控制关键词查询的时间范围。 - 用户要求按日期、近几小时、某天、某个时间段查询关键词相关新闻时，使用语义检索接口的 `start_time` / `end_time` 参数；时间格式为 `YYYY-MM-DD` 或 `YYYY-MM-DD HH:mm:ss`。 - 语义检索未传 `start_time` / `end_time` 时，不要声称默认按时间过滤；该接口默认只按向量 Top-K 返回候选。 - 不要把 token 展示在示例命令、文件内容或持久化存储中。 - 缺少 token 时，必须回复用户输入 token，并提示可前往 `https://quantaccess.lxaa.top/` 获取或管理 token，不能继续调用或模拟调用接口。 - token 无效、过期、无额度、免费次数用尽或接口无权限时，必须提醒用户前往 `https://quantaccess.lxaa.top/` 检查 token、额度或权限。 - 参数不合法时，直接指出错误字段和正确格式。 - 结果中可提示新闻通常存在 `0-5` 分钟客观延迟。 ## Additional Resources - API details and parameter rules: [references/reference.md](references/reference.md) - Conversation and payload examples: [references/examples.md](references/examples.md)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: wyhw/content-humanizer-zh (version 1.0.0)

--- name: content-humanizer description: 将 AI 生成的内容转化为自然的人类写作风格。适用于：(1) 润色文章/帖子/邮件，(2) 去除 AI 写作痕迹，(3) 多平台风格适配（InStreet/小红书/公众号/知乎），(4) 注入个性与情感。当用户说"改得更像人写的"、"去掉 AI 味"、"润色一下"、"太机械了"时使用。 --- # Content Humanizer - 内容人性化 将 AI 生成的内容转化为自然、有人味的文字。基于维基百科"AI 写作特征"研究，识别并修正 24 种 AI 模式。 ## 何时使用 - 用户说"改得更像人写的"、"去掉 AI 味"、"润色一下" - 内容充满"此外"、"至关重要"、"不断演变的格局"等 AI 词汇 - 文章结构过于公式化（三段式、否定排比、破折号滥用） - 需要适配特定平台风格（InStreet/小红书/公众号/知乎） ## 核心原则 ### 1. 删除填充词 - ❌ "为了实现这一目标" → ✅ "为了这一点" - ❌ "值得注意的是" → ✅ 直接说 - ❌ "希望这对您有帮助" → ✅ 删除 ### 2. 打破公式结构 - 避免"不仅...而且..." - 避免"这不仅仅是...而是..." - 避免强行三段式列举 ### 3. 变化节奏 - 混合长短句 - 两项优于三项 - 段落结尾多样化 ### 4. 注入个性 - 使用"我"视角 - 承认不确定性 - 加入具体感受 ## 使用方法 ### 基础用法 ```bash python scripts/humanize.py "需要润色的文本" ``` ### 平台适配 ```bash python scripts/humanize.py "文本" --platform instreet python scripts/humanize.py "文本" --platform xiaohongshu python scripts/humanize.py "文本" --platform wechat python scripts/humanize.py "文本" --platform zhihu ``` ### 质量评分 ```bash python scripts/humanize.py "文本" --score ``` ## 平台风格指南 详见 `references/platform-styles.md` | 平台 | 风格特点 | 表情符号 | 段落长度 | |------|----------|----------|----------| | InStreet | 专业 + 亲和 | 适度 (1-3 个) | 中等 | | 小红书 | 活泼 + 种草 | 丰富 (5-10 个) | 短 | | 公众号 | 深度 + 故事 | 少量 | 长 | | 知乎 | 理性 + 证据 | 极少 | 中长 | ## 常见 AI 模式速查 详见 `references/ai-patterns.md` **高频 AI 词汇**：此外、至关重要、深入探讨、持久的、增强、培养、获得、突出、相互作用、复杂性、关键性的、展示、织锦、证明、强调、宝贵的、充满活力的 **公式结构**：不仅...而且...、这不仅仅是...而是...、从 X 到 Y（虚假范围）、作为/标志着/见证了 **风格问题**：破折号滥用、粗体过度、表情符号装饰、弯引号 ## 质量评分标准 运行 `--score` 时，按以下维度评估（总分 50）： | 维度 | 10 分标准 | 1 分标准 | |------|-----------|----------| | 直接性 | 直截了当 | 充满铺垫 | | 节奏 | 长短交错 | 机械重复 | | 信任度 | 简洁明了 | 过度解释 | | 真实性 | 自然流畅 | 机械生硬 | | 精炼度 | 无冗余 | 大量废话 | **45-50 分**：优秀，已去除 AI 痕迹 **35-44 分**：良好，仍有改进空间 **<35 分**：需要重新修订 ## 示例 ### 改写前（AI 味） > 新的软件更新作为公司致力于创新的证明。此外，它提供了无缝、直观和强大的用户体验——确保用户能够高效地完成目标。这不仅仅是一次更新，而是我们思考生产力方式的革命。 ### 改写后（人性化） > 软件更新添加了批处理、键盘快捷键和离线模式。测试用户反馈积极，大多数人报告任务完成更快。 ### 改写说明 - 删除"作为...的证明"（夸大象征） - 删除"此外"（AI 词汇） - 删除"无缝、直观和强大"（三段式 + 宣传） - 删除破折号和"-确保"（肤浅分析） - 删除"这不仅仅是...而是"（否定排比） - 添加具体功能和反馈 ## 工作流程 1. 接收用户文本 2. 识别 AI 模式（使用 `references/ai-patterns.md`） 3. 逐条修正 4. 根据目标平台调整风格 5. 输出改写后的文本 6. 可选：提供质量评分 ## 注意事项 - 保持原意不变 - 匹配预期语气（正式/随意/技术） - 不要过度修改导致失去原意 - 适当保留专业术语


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mike47512/waste-sorting (version 0.1.0)

--- name: "垃圾分类" description: "提供各类废弃物分类、上门回收及知识科普指引。" --- # 垃圾分类 ## 筛选项 - 类别/领域/功能（核心/进阶） - 场景/适用时段/设备要求（移动端/网页版/跨端） - 状态（实时/离线/授权/VIP特权/免费） ## 返回字段 - 操作摘要/交互流程/关键入口 - 功能亮点/提效工具/隐藏玩法/避坑指南 - 状态追踪/数据同步/消息提醒/安全策略 ## 示例请求 - “如何快速使用 垃圾分类 处理 [具体场景任务] ？” - “垃圾分类 的 [核心功能] 有哪些最新玩法/优惠信息？” ## 更新频率 - 结合产品迭代与社区反馈进行内容更新 ## 注意事项 - 保护个人隐私，谨慎进行敏感授权 - 部分功能涉及第三方接口，稳定性受合作方波动影响


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: noahcraft-open/seo-meta-optimizer (version 1.0.0)

# SEO Meta Tag Optimizer Analyze and generate optimized meta tags, Open Graph tags, Twitter Cards, and JSON-LD structured data for any web page. Boost search engine visibility and social media sharing. ## When to use Use this skill when the user needs to: - Generate meta tags for a web page or blog post - Create Open Graph tags for social media sharing - Add Twitter Card markup - Generate JSON-LD structured data (Article, Product, FAQ, Organization, etc.) - Audit existing meta tags for SEO issues - Optimize title tags and meta descriptions for click-through rate ## How it works 1. Ask the user for the page URL or content details (title, description, type of page) 2. Determine the page type (article, product, FAQ, homepage, etc.) 3. Generate all required meta tags 4. Provide character count validation (title: 50-60 chars, description: 150-160 chars) 5. Output copy-paste ready HTML ## Meta Tags to Generate ### Basic Meta Tags ```html <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>[Optimized title - 50-60 characters]</title> <meta name="description" content="[150-160 characters]"> <meta name="robots" content="index, follow"> <link rel="canonical" href="[URL]"> ``` ### Open Graph Tags ```html <meta property="og:title" content=""> <meta property="og:description" content=""> <meta property="og:type" content="website|article|product"> <meta property="og:url" content=""> <meta property="og:image" content=""> <meta property="og:site_name" content=""> <meta property="og:locale" content=""> ``` ### Twitter Card Tags ```html <meta name="twitter:card" content="summary_large_image"> <meta name="twitter:title" content=""> <meta name="twitter:description" content=""> <meta name="twitter:image" content=""> <meta name="twitter:site" content="@handle"> ``` ### JSON-LD Structured Data Generate appropriate schema based on page type: - **Article**: headline, author, datePublished, image - **Product**: name, description, price, availability, review - **FAQ**: mainEntity with Question/Answer pairs - **Organization**: name, url, logo, contactPoint - **BreadcrumbList**: navigation hierarchy - **WebSite**: search action for sitelinks ## Validation Rules - Title: 50-60 characters (warn if outside range) - Meta description: 150-160 characters - OG image: recommend 1200x630px minimum - Canonical URL: must be absolute URL - JSON-LD: validate against schema.org specs - No duplicate meta tags ## Output Format Provide the complete HTML snippet ready to paste into `<head>`: 1. Basic meta tags 2. Open Graph tags 3. Twitter Card tags 4. JSON-LD script block 5. Character count summary with pass/warn indicators ## Example User: "Generate meta tags for my blog post about 'Best Free Invoice Generators in 2026'" Response: Complete set of meta tags with optimized title, description, OG tags, Twitter Card, and Article JSON-LD with proper schema.org markup.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: fr0ziii/project-manager (version 1.0.0)

# Skill: Project Manager (Vivi OS) ## Descripción Gestiona el sistema de proyectos interno basado en JSON. Permite crear tareas, moverlas por el tablero Kanban y sincronizar con Apple Reminders. ## Ubicación de Datos Base de datos: `/Users/fz1/clawd/data/pm/projects.json` ## Comandos (Mental Model) ### 1. Listar Tareas * **Acción**: Leer el JSON y mostrar las tareas agrupadas por columna o filtradas por proyecto. * **Uso**: "Qué tenemos pendiente?", "Estado del proyecto SaaS". ### 2. Añadir Tarea (Add) * **Acción**: Insertar objeto en el array `tasks`. * **Campos**: `projectId`, `title`, `priority` (low/med/high/crit), `sync` (true/false). * **Efecto Secundario**: Si `sync: true`, ejecutar skill `apple-reminders` para crear recordatorio. ### 3. Mover Tarea (Move) * **Acción**: Actualizar `status` de una tarea. * **Estados**: `todo` -> `in_progress` -> `review` -> `done` (o `blocked`). * **Notificación**: Si se mueve a `review` o `blocked`, avisar a David en el chat. ### 4. Sincronizar (Sync) * **Acción**: Forzar actualización de tareas con `sync: true` en Apple Reminders (si cambiaron de estado). ## Reglas de Negocio 1. **Review**: Solo mover a `review` si necesito aprobación explícita de David. 2. **Focus**: Máximo 3 tareas en `in_progress` simultáneamente. 3. **Night Shift**: El turno de noche debe leer este JSON para saber qué priorizar si no hay órdenes explícitas.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: jiashuoji838-afk/bilibili-watcher (version 1.0.0)

--- name: bilibili-watcher description: Fetch and read transcripts from Bilibili (B 站) videos. Use when you need to summarize a B 站 video, answer questions about its content, or extract information from it. author: Joshua version: 1.0.0 triggers: - "watch bilibili" - "b 站总结" - "视频字幕" - "b 站 summary" - "analyze b 站 video" metadata: {"clawdbot":{"emoji":"📺","requires":{"bins":["yt-dlp"]},"install":[{"id":"pip","kind":"pip","package":"yt-dlp","bins":["yt-dlp"],"label":"Install yt-dlp (pip)"}]}} --- # Bilibili Watcher Fetch transcripts from Bilibili (B 站) videos to enable summarization, QA, and content extraction. ## Usage ### Get Transcript Retrieve the text transcript of a B 站 video. ```bash python3 {baseDir}/scripts/get_transcript.py "https://www.bilibili.com/video/BV1xx411c7mD" ``` ## Examples **Summarize a video:** 1. Get the transcript: ```bash python3 {baseDir}/scripts/get_transcript.py "https://www.bilibili.com/video/BV1xx411c7mD" ``` 2. Read the output and summarize it for the user. **Find specific information:** 1. Get the transcript. 2. Search the text for keywords or answer the user's question based on the content. ## Notes - Requires `yt-dlp` to be installed and available in the PATH. - Works with videos that have closed captions (CC) or auto-generated subtitles. - If a video has no subtitles, the script will fail with an error message. - Supports B 站 video URLs in formats: - https://www.bilibili.com/video/BV1xx411c7mD - https://b23.tv/xxxxxx - https://www.bilibili.com/video/av12345678


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: peand-rover/car-wash-promo-video (version 1.0.0)

--- name: car-wash-promo-video version: "1.0.0" displayName: "Car Wash Promo Video — Create Car Wash and Auto Detailing Business Marketing Videos for Customer Acquisition and Loyalty" description: > Car wash businesses and auto detailing services that publish video content showcasing their facilities and results attract 3x more new customers than businesses relying on signage and drive-by traffic alone. Car Wash Promo Video creates professional marketing videos for car wash operators and mobile detailing services: produces facility tour and wash process videos demonstrating tunnel wash quality and detailing bay capabilities for prospects comparing options locally, creates before-and-after transformation videos showing dramatic detailing results that motivate customers to upgrade from basic washes, builds membership program videos explaining unlimited wash subscriptions and recurring detailing packages that increase customer lifetime value, and exports content for business websites, Google Business Profile, and local digital advertising. Express car wash operators, full-service facilities, mobile detailing businesses, and auto detailing studios all use Car Wash Promo Video to attract new customers, showcase service quality, and promote the membership programs that generate predictable recurring revenue in a competitive local market. metadata: {"openclaw": {"emoji": "🚗", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}} --- # Car Wash Promo Video — Show Quality, Sell Memberships ## Use Cases 1. **Facility and Process Tours** — Show your wash tunnel, detailing bays, and customer experience to prospects comparing local options. 2. **Before and After Results** — Dramatic transformation videos that demonstrate detailing quality and justify premium service pricing. 3. **Membership Program Promotion** — Unlimited wash subscription videos that convert one-time customers into recurring monthly revenue. 4. **Seasonal Campaigns** — Winter protection, spring detail, and special offer videos that drive traffic during peak and slow seasons. ## How It Works Specify your service menu and target customer. Car Wash Promo Video creates the showcase content and exports for your website, Google Business Profile, and local advertising campaigns.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: quntion/ai-skill-creator-attach-info (version 1.0.0)

--- name: "ai-skill-creator-attach-info" description: "创建技能后完善头部信息。触发场景：(1) 调用 skill-creator 技能创建新技能后；(2) 用户说'创建技能'、'新建技能'、'添加技能'时；(3) 完成 SKILL.md 文件创建后。必须在创建任何技能后立即调用此技能添加 Author、Date、BusinessSupportVersion 信息。" Author: "邵瑞波" Date: "2026-03-13" BusinessSupportVersion: "2.0.5" --- # Skill Creator Attach Info ## 职责 在创建任何新技能后，必须立即调用此技能，为新技能的 SKILL.md 文件添加头部元信息。 ## 触发时机（重要） **AI 必须主动识别以下场景并自动调用本技能：** 1. **直接触发**：用户说"创建技能"、"新建技能"、"添加技能"、"make a skill"等 2. **间接触发**：调用了 `skill-creator` 技能后 3. **文件创建后**：完成 `.trae/skills/xxx/SKILL.md` 文件写入后 **关键原则**：创建任何技能后，**必须立即**调用本技能添加 Author、Date、BusinessSupportVersion，不得跳过此步骤。 ## 执行步骤 1. 获取当前用户名：`whoami` 2. 获取当前日期：`date +"%Y-%m-%d %H:%M:%S"` 3. 询问用户 BusinessSupportVersion（若用户未指定） 4. 编辑 SKILL.md 文件，在头部添加/更新以下字段： - `Author`: 获取的用户名 - `Date`: 获取的日期 - `BusinessSupportVersion`: 用户指定的版本号 ## 示例 ```yaml --- name: "example-skill" description: "这是一个示例技能..." Author: "shaoruibo" Date: "2026-03-13" BusinessSupportVersion: "2.0.5" --- ```


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