OpenClaw/clawhub-security-signals huggingface dataset:
Skill: ennno/liveavatar (version 1.0.1)

--- name: liveavatar description: Talk face-to-face with your OpenClaw agent using a real-time video avatar powered by LiveAvatar user-invocable: true metadata: {"openclaw":{"emoji":"🎭","requires":{"env":["LIVEAVATAR_API_KEY"],"bins":["node","npm"]},"install":[{"id":"node","kind":"node","package":"openclaw-liveavatar","bins":["openclaw-liveavatar"],"label":"Install LiveAvatar (npm)"}]}} --- # OpenClaw LiveAvatar Give your OpenClaw agent a face and voice! This skill launches a real-time AI avatar that you can talk to naturally using your microphone. The avatar listens to you, sends your speech to your OpenClaw agent, and speaks the response back with lip-synced video. Powered by [LiveAvatar](https://liveavatar.com) - real-time AI avatar technology. ## Setup ### 1. Get Your API Key (Free) 1. Go to [app.liveavatar.com](https://app.liveavatar.com) 2. Create a free account 3. Copy your API key from the dashboard ### 2. Set Your API Key ```bash export LIVEAVATAR_API_KEY=your_api_key_here ``` Or add to `~/.openclaw/openclaw.json`: ```json { "skills": { "entries": { "liveavatar": { "env": { "LIVEAVATAR_API_KEY": "your_api_key_here" } } } } } ``` ## Usage Run `/liveavatar` to start the video avatar interface. When the user runs this command: 1. **Check if LIVEAVATAR_API_KEY is set**. If not, tell them: > You need a LiveAvatar API key. Get one free at https://app.liveavatar.com > Then set it: `export LIVEAVATAR_API_KEY=your_key` 2. **Launch the interface**: ```bash npx openclaw-liveavatar ``` 3. **Tell the user**: > Your LiveAvatar interface is starting at http://localhost:3001 > It will connect automatically to your OpenClaw Gateway. > > Tips: > - Allow microphone access when prompted > - Click the green mic button to speak > - The avatar will respond with your agent's answers > - Click the X button to end the session ## How It Works ``` You speak → Avatar transcribes → OpenClaw processes → Avatar speaks response ``` 1. **Voice Input**: Speak into your microphone 2. **Transcription**: LiveAvatar converts speech to text 3. **Agent Processing**: Text sent to OpenClaw Gateway (port 18789) 4. **Response**: Agent response returned 5. **Avatar Speech**: Avatar speaks with natural lip-sync ## Features - Real-time video avatar with expressions - Voice-to-voice conversations - Text chat fallback option - Smart TTS summarization for long responses - Echo cancellation (won't respond to itself) - Multiple avatar choices ## Requirements - OpenClaw Gateway running (`openclaw gateway`) - LiveAvatar API key - Modern browser with microphone - Node.js 18+ ## Troubleshooting **"OpenClaw Disconnected"** ```bash openclaw gateway ``` **"No avatars available"** - Check LIVEAVATAR_API_KEY is set correctly **Voice not working** - Allow microphone access in browser - Check system audio settings ## Links - [LiveAvatar](https://liveavatar.com) - Real-time avatar platform - [OpenClaw](https://openclaw.ai) - Your personal AI assistant - [GitHub](https://github.com/eNNNo/openclaw-liveavatar) - Source code


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: yongtaop1-sys/web-scraper-seller (version 1.0.0)

# Web Scraper Seller Skill I build custom web scrapers for any website. ## Services ### Basic Scraper - $99 - Single page scraping - Up to 100 items - CSV/JSON export - 3-day delivery ### Advanced Scraper - $249 - Multi-page scraping - Unlimited items - Scheduled updates - API delivery - 1-week delivery ### Custom Automation - $499+ - Full website scraping - Real-time monitoring - Auto-updates - Custom dashboard - Contact for timeline ## Use Cases - Lead generation - Price monitoring - Competitor tracking - Market research ## Contact - Email: [REDACTED_SECRET] - Telegram: @orchestratortao


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: barbaraledbettergq/selfie-art-generator (version 1.3.0)

--- name: selfie-art-generator description: Generate AI selfie art portraits from text descriptions — cinematic portraits, anime illustrations, oil painting style, and artistic profile pictures via the Neta AI image generation API (free trial at neta.art/open). tools: Bash --- # Selfie Art Generator Generate AI selfie art portraits from text descriptions. Create cinematic portraits, anime-style illustrations, oil paintings, and artistic profile pictures. Returns a direct image URL instantly. ## Token Requires a Neta API token. Free trial available at <https://www.neta.art/open/>. ```bash export NETA_TOKEN=your_token_here node selfieartgenerator.js "your prompt" --token "$NETA_TOKEN" ``` ## When to use Use when someone asks to generate or create AI portrait art, selfie art, or stylized profile pictures from a text description. ## Quick start ```bash node selfieartgenerator.js "cinematic portrait, golden hour lighting, sharp facial details" --token YOUR_TOKEN ``` ## Options - `--size` — `portrait`, `landscape`, `square`, `tall` (default: `portrait`) - `--style` — `anime`, `cinematic`, `realistic` (default: `cinematic`) - `--ref` — reference image UUID for style inheritance (optional) ## Install ```bash npx skills add yangzhou-chaofan/selfie-art-generator ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: zhang-lxuan/qq-email-watcher (version 1.0.1)

--- name: qq-email-watcher description: 监控 QQ 邮箱白名单联系人的新邮件，通过 QQ 消息主动推送通知。支持 AI 智能摘要、验证码/关键信息高亮、简洁预览。当用户需要设置邮件提醒、管理 QQ 邮箱白名单、自动化邮件监控通知时使用。 --- # QQ 邮箱监控通知 ## 功能特性 - 🔍 **IMAP 轮询** — 每 30 秒检查 QQ 邮箱，支持白名单过滤 - 🤖 **AI 智能摘要** — 调用 OpenClaw AI 提炼邮件关键信息（验证码、金额、链接等） - ✂️ **智能预览** — 短邮件展示全文，长邮件 AI 总结 - 🔕 **去重机制** — 首次运行自动初始化已处理记录，重启不重复通知 - 🔒 **白名单管理** — 仅监控指定联系人的邮件 ## 首次配置 ### 1. 编辑脚本配置 在 `scripts/email_watcher.py` 顶部修改配置区： ```python EMAIL = "你的QQ邮箱@qq.com" AUTH_CODE = "你的IMAP授权码" WHITELIST_FILE = "白名单文件路径" QQ_TARGET = "你的QQ OpenID" ``` ### 2. 创建白名单文件 ```json ["[REDACTED_SECRET]", "[REDACTED_SECRET]"] ``` ### 3. 启动监听 ```bash python3 ~/.openclaw/workspace/skills/qq-email-watcher/scripts/email_watcher.py & ``` ## 日常操作 **查看状态：** ```bash ps aux | grep email_watcher ``` **添加白名单：** 编辑 `whitelist.json`，脚本下次轮询自动加载 **停止服务：** ```bash pkill -f email_watcher.py ``` **查看日志：** ```bash tail -f ~/.openclaw/workspace/email_watcher.log ``` ## 消息格式 收到邮件时，QQ 收到类似： ``` 📧 [邮件主题] 👤 发件人名称 <发件人@邮箱.com> 📝 【AI摘要】验证码邮件，验证码 **123456**，有效期 30 分钟。 ``` ## 文件结构 ``` qq-email-watcher/ ├── SKILL.md ├── scripts/ │ └── email_watcher.py # 主监听脚本（含 AI 摘要） └── references/ └── configure.md # 详细配置指南 ```


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: malicious | SkillSpector: suspicious (CRITICAL)
Skill: laolaoqi/yiheyuan-daily-news (version 1.0.0)

--- name: Daily News Digest description: > Automatic news aggregation and summarization. Scrapes RSS feeds from configured sources, deduplicates stories, and generates a structured daily digest with headlines, summaries, and sentiment indicators. Supports Chinese and English sources. --- # Daily News Digest **让你的Agent每天自动看新闻做简报。** 配置一次RSS源，每天自动出简报。适合行业监控、竞品追踪、投资信息收集。 ## Actions | Action | Description | |--------|-------------| | `digest` | 生成今日简报（需先配置sources） | | `sources` | 管理RSS源列表（增删改） | | `search` | 搜索历史新闻汇总 | ## Pricing Free — MIT License (配置RSS源即可使用)

path: _meta.json
content: {
  "name": "Daily News Digest",
  "description": "Automatic news aggregation and summarization from RSS feeds. Supports Chinese and English sources.",
  "version": "1.0.0",
  "author": "laolaoqi",
  "license": "MIT-0",
  "tags": ["news", "rss", "digest", "summary", "monitoring", "free"],
  "openclaw": {
    "actions": ["digest", "sources", "search"]
  }
}


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector:  ()
Skill: mazhimin-123/model-rate-limiter (version 1.0.0)

--- name: model-rate-limiter description: 限制大模型请求频率，每分钟不超指定次数（默认5次）。当用户提到"限制请求频率"、"限速"、"模型限流"、"每分钟不超过X次"时触发。 --- # Model Rate Limiter 限制 AI 模型请求频率，防止触发 API 限速。 ## 配置文件 状态文件：`{workspace}/rate-limit-state.json` ```json { "enabled": false, "maxPerMinute": 5, "windowMs": 60000, "timestamps": [] } ``` ## 参数说明 | 参数 | 说明 | 默认值 | |------|------|--------| | `enabled` | 开关：`true`开启，`false`关闭 | `false` | | `maxPerMinute` | 每分钟最大请求次数 | 5 | | `windowMs` | 时间窗口（毫秒） | 60000 | ## 使用方式 ### 查看当前状态 读取 `rate-limit-state.json` 文件。 ### 开启限速 将 `enabled` 改为 `true`。 ### 关闭限速 将 `enabled` 改为 `false`。 ### 修改限制次数 修改 `maxPerMinute` 值，例如设为 3： ```json { "maxPerMinute": 3 } ``` ### 手动重置计数 将 `timestamps` 设为空数组 `[]` 即可。 ## 工作原理 每次模型请求前： 1. 读取 `rate-limit-state.json` 2. 若 `enabled: false`，直接放行 3. 若 `enabled: true`，清理 `windowMs` 外的旧时间戳 4. 若剩余次数 < 1，拒绝请求并提示等待 5. 否则写入当前时间戳，允许请求 ## 示例对话 > 用户：开启限速 > 操作：将 `enabled` 改为 `true`，回复"已开启限速，每分钟不超5次" > 用户：改成每分钟3次 > 操作：修改 `maxPerMinute: 3`，回复"已调整为每分钟3次"


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jpengcheng523-netizen/jpeng-string-utils (version 1.0.0)

--- name: string-utils description: Provides string manipulation and transformation operations for working with text. Use when you need to transform, format, or manipulate strings. --- # String Utils Provides string manipulation and transformation operations. ## Usage ```javascript const str = require('./skills/string-utils'); // Case conversion const camel = str.toCamelCase('hello world'); // helloWorld const snake = str.toSnakeCase('helloWorld'); // hello_world const kebab = str.toKebabCase('helloWorld'); // hello-world // Trimming and padding const trimmed = str.trim(' hello '); // 'hello' const padded = str.padLeft('5', 3, '0'); // '005' // Truncation const short = str.truncate('hello world', 8); // 'hello...' // Slug generation const slug = str.slugify('Hello World!'); // 'hello-world' // Escape/unescape const escaped = str.escapeHtml('<div>'); // '&lt;div&gt;' ``` ## Features - Case conversion (camelCase, snake_case, kebab-case, PascalCase, etc.) - Trimming and padding - Truncation with ellipsis - Slug generation - HTML escape/unescape - URL encoding/decoding - Template interpolation - String similarity


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tobiaswestholm/local-event-scanner (version 1.0.0)

--- name: event-scanner description: Use whenever the user asks for event suggestions, things to do, what's on, or events happening in a location or date window. Also use when the user asks to find, discover, scan, or shortlist events. This skill discovers, scores, and shortlists real events matched to the user's taste profile. metadata: short-description: Find and shortlist events for the user --- # Event Scanner Use this skill when the user wants event suggestions or asks what's happening in their area. It discovers real events from configured sources, scores them against the user's taste profile, and returns a ranked shortlist with source links and caveats. ## Procedure 1. Follow the boot sequence in `skills/event-scanner/references/operating-model.md`. 2. Create a new empty run note in `skills/event-scanner/runs/` before discovery starts. 3. Add `event-scanner` to the run note's `Skills used` list immediately. 4. Apply these pipeline steps in order: - `skills/event-scanner/steps/step-1-discovery.md` - `skills/event-scanner/steps/step-2-scoring.md` - `skills/event-scanner/steps/step-3-calendar-review.md` - `skills/event-scanner/steps/step-4-shortlist-review.md` 5. Produce the ranked shortlist. For explicit requests to add a specific suggested event to Google Calendar, follow `skills/event-scanner/steps/step-5-add-to-calendar.md`. Read and write only within this skill's folder. ## Run Note Template Create the run note from this empty template, using a filename like `YYYY-MM-DD-topic.md`: ```md # Run: YYYY-MM-DD Topic ## Context - Geography: - Window: - Sources checked: - Skills used: - ## Candidate Events - Pending discovery. ## Scored Candidates - Pending scoring. ## Calendar Review - Pending calendar-aware review. ## Ranked Shortlist - Pending shortlist review. ## Privacy Check - Pending final review. ``` Pass this run note path through the rest of the scan. Do not wait until the end to create the run note. ## Output When invoked, explicitly say: "[Using event-scanner skill]"


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: fanyanggod/tiktok-ad-tracker-monitor (version 1.0.2)

--- name: tiktok-ad-tracker-monitor description: Track TikTok ad activity and monitor advertiser changes using PipiAds tools for TikTok ad discovery and Facebook-based monitoring workflows. metadata: openclaw: requires: env: - PIPIADS_API_KEY bins: - npm install: command: npm args: - install - -g - "pipiads-mcp-server@1.0.3" primaryEnv: PIPIADS_API_KEY emoji: "📊" homepage: https://www.pipiads.com mcpServers: pipiads: command: pipiads-mcp-server env: PIPIADS_API_KEY: "{{PIPIADS_API_KEY}}" --- # TikTok Ad Tracker & Monitor Use this skill to research TikTok ads and manage ongoing monitoring workflows. ## Setup 1. Visit the official website at [https://pipiads.com/](https://pipiads.com/) to view real-time dashboard data and product UI. 2. Visit [https://www.pipispy.com/](https://www.pipispy.com/) to get your API key and manage billing/recharge. 3. Set the environment variable: `PIPIADS_API_KEY` ## When to Use - Find trending TikTok ads, recurring creatives, and long-running winners - Track advertiser changes over time with monitor tasks - Review monitored ads, landing pages, products, and copy changes - Analyze creative hooks, angles, engagement, and delivery duration ## When NOT to Use - The user only wants Facebook-only ad library research - The user wants TikTok Shop product/store analytics without ad research - The user wants general market research outside PipiAds data ## Core Tools ### TikTok Ad Research - `search_ads` — Search ads and narrow to TikTok with platform filters - `get_ad_detail` — Inspect a specific ad in detail - `search_advertisers` — Find advertisers behind TikTok campaigns - `get_advertiser_detail` — Inspect advertiser details ### Monitoring - `search_fb_advertisers` — Find advertiser entry points for monitor setup - `create_monitor_task` — Create a monitoring task - `list_monitor_tasks` — List existing monitor tasks - `get_monitor_task_detail` — View task details - `get_monitor_board` — Review monitoring dashboard - `get_monitor_realtime_overview` — Real-time task overview - `get_monitor_daily_overview` — Daily performance overview - `get_monitor_ad_list` — Review monitored ads - `get_monitor_ad_detail` — Review a monitored ad in detail - `get_monitor_latest_products` — See newly found products - `get_monitor_landing_page_list` — Review landing pages - `cancel_monitor_task` — Stop a monitoring task ## Recommended Workflow 1. Start with `search_ads` and constrain to TikTok, region, and time range. 2. Use `get_ad_detail` to inspect the strongest creatives. 3. If the user wants ongoing tracking, find the advertiser and use `create_monitor_task`. 4. Use monitor overview and ad list tools to review changes over time. ## Cost Awareness Each API call consumes credits from your PipiAds account: - **List/Search**: 1 credit per result returned - **Detail**: 1 credit per request (free if queried within 3 days) Prefer narrow TikTok searches before creating broad monitor workflows.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: haohanyang92/zjtj-sar-quantum-strategy (version 1.0.0)

--- name: zjtj-sar-quantum-strategy description: ZJTJ+SAR+成交量+市场情绪四维选股策略，结合主力动向、趋势判断、资金验证和环境分析，适合A股短线波段操作。 version: 1.0.0 --- # ZJTJ + SAR + 成交量 + 市场情绪 四维选股策略 ## 四大维度 | 维度 | 指标 | 作用 | |-----|------|------| | 1️⃣ 主力动向 | ZJTJ | 判断庄家是否进场、是否出货 | | 2️⃣ 趋势判断 | SAR | 判断方向 + 动态止损 | | 3️⃣ 资金验证 | 成交量 | 验证真假突破 | | 4️⃣ 大盘环境 | 市场情绪 | 避免在冰点/亢奋期操作 | --- ## 🟢 买入条件（四维同时满足） ### 维度1：ZJTJ（主力信号） | 信号 | 状态 | 操作 | |-----|------|------| | 🟡 黄色箭头 | 开始控盘 | ✅ 关注 | | 🔴 红色 | 有庄控盘 | ✅ 买入 | | 🟣 紫色 | 高度控盘 | ⚠️ 谨慎追 | ### 维度2：SAR（趋势信号） | 信号 | 状态 | 操作 | |-----|------|------| | 点在K线下方 | 上涨趋势 | ✅ 持有 | | 点从上方翻到下方 | 买入信号 | ✅ 买入时机 | ### 维度3：成交量（资金验证） | 情况 | 信号 | 操作 | |-----|------|------| | 涨停时放量（较前一日+30%以上） | 真突破 | ✅ 跟进 | | 涨停时缩量 | 假突破 | ❌ 不追 | | 上涨缩量 | 量价背离 | ⚠️ 警惕 | ### 维度4：市场情绪（环境判断） | 情绪阶段 | 仓位建议 | |---------|---------| | 🧊 冰点（涨停<20家） | 轻仓/空仓，不做 | | ⚖️ 分歧（涨停20-50家） | 半仓操作 | | 🌟 正常（涨停50-80家） | 正常仓位 | | 🔥 亢奋（涨停>80家） | 重仓干龙头 | --- ## 🔴 卖出条件 ### 止盈（分批卖出） | 涨幅 | 操作 | |-----|------| | +10% | 卖1/3 | | +20% | 卖1/3 | | +30% | 剩1/3（博更大） | ### 止损（保护本金） | 条件 | 操作 | |-----|------| | SAR点翻到K线上方 | 卖出（趋势结束） | | 下跌 > 7% | 止损 | | ZJTJ变绿色（出货） | 清仓 | | ZJTJ变白色（无庄） | 清仓 | ### 大盘风险信号 | 信号 | 操作 | |-----|------| | 涨停家数 < 15家 | 停止买入 | | 跌停家数 > 30家 | 清仓观望 | --- ## ⚠️ 策略禁区（绝对不做） 1. **冰点 + ZJTJ无信号** → 不做 2. **ZJTJ白色 + SAR下降** → 不做 3. **缩量涨停** → 不追 4. **大盘跌停 > 30家** → 停止所有操作 --- ## 📊 选股公式（通达信） ``` ZJTJ > 0 AND SAR < C AND V > REF(V,1)*1.3 ``` 解释：ZJTJ控盘 + SAR在K线上方 + 成交量放量30% --- ## 🔄 每日复盘流程 ``` 收盘后（16:00-17:00）： 1️⃣ 看大盘情绪 - 涨停 < 20家 → 今天不做 2️⃣ 筛选ZJTJ - 出现黄色/红色信号的股票 3️⃣ 筛选SAR - 点在K线下方 4️⃣ 验证成交量 - 放量上涨的保留 5️⃣ 选出标的 - 符合4个条件 → 第二天开盘买 6️⃣ 制定买卖计划 - 涨到哪卖，跌破哪止损 ``` --- ## 📈 策略优势 | 优势 | 说明 | |-----|------| | **多重验证** | 4个维度同时满足，减少假信号 | | **趋势保护** | SAR动态止损，不套死 | | **主力跟庄** | ZJTJ帮找主力股 | | **资金确认** | 成交量验证真假突破 | | **环境判断** | 避免在冰点/亢奋期操作 | --- ## ⚠️ 风险提示 - 震荡市所有指标都会失效 - 不要 ALL IN，单只股票不超30%仓位 - 严格遵守止损纪律 --- ## 触发场景 - "四维选股策略" - "ZJTJ SAR 选股" - "结合成交量和市场情绪的选股" - "帮我选一个短线股票"


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zhuyu28/code-review-assistant-zhuyu28 (version 1.0.0)

--- name: code-review-assistant-zhuyu28 description: AI-powered code review assistant that analyzes code for bugs, security issues, performance problems, and style violations. Supports multiple programming languages and integrates with version control systems. version: 1.0.0 --- # Code Review Assistant AI-powered code review assistant that provides comprehensive code analysis and feedback. ## When to Use - Code review requests for any programming language - Security vulnerability detection in code - Performance optimization suggestions - Code style and best practices enforcement - Pull request reviews and feedback ## Usage The assistant automatically detects programming languages and applies appropriate review rules. Simply provide code snippets or files for review.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: shayuqiang671-rgb/neuro-scalp (version 1.0.2)

# Neuro Scalp - AI 加密货币剥头皮交易机器人 ## 🤖 技能描述 AI 驱动的高频量化交易机器人，专为加密货币剥头皮策略设计。 ### ✨ 核心功能 - **交易平台**: OKX 合约/现货（支持测试网） - **运行模式**: 7x24 全自动交易 - **AI 核心**: 强化学习 (PPO/SAC) + LSTM + 在线学习 - **交易策略**: 订单簿失衡、流动性扫描、均值回归、动量策略 - **风控系统**: 动态仓位管理、自动止损、每日熔断机制 ### 🛠️ 技术架构 - **数据层**: WebSocket 实时行情、Redis 高速缓存 - **特征工程**: 订单簿失衡、微价格、波动率压缩检测 - **执行引擎**: PostOnly 挂单、滑点控制 - **监控面板**: FastAPI + Plotly 实时可视化 ### 📦 安装说明 1. 克隆技能：`clawhub install neuro-scalp` 2. 安装依赖：`pip install -r requirements.txt` 3. 配置环境变量：`cp .env.example .env` 4. 运行：`python main.py` ### ⚠️ 风险提示 - 仅供学习研究使用 - 实盘交易存在风险 - 建议先测试网验证 - 务必设置合理止损 ### 💰 定价 - **基础版**: 免费（测试网 + 基础策略） - **高级版**: $9.99/月（实盘 + 全部功能） - **终身版**: $49.99（一次买断） ### 📝 版本 v1.0.0 | MIT License


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: boomzikazita/xiaozheng-nuwa (version 1.0.0)

--- name: xiaozheng-nuwa description: 认知蒸馏工具 - 借鉴 nuwa-skill 思路，将任何人的思维方式蒸馏成可调用的 SKILL.md。触发条件：用户说"蒸馏一个XXX"或"用XXX视角分析YYY"。禁止编造人物信息，全部内容必须基于公开资料。 --- # 小郑女娲 · 认知蒸馏工具 输入一个名字，小郑自动完成调研→提炼→验证→生成SKILL.md的全流程。 ## 核心规则 ### 规则1：只基于公开信息 - 可用来源：著作、演讲、访谈、播客、社交媒体、新闻报道 - 禁止：编造内部信息、假设立场、凭记忆补充细节 - 信息不足时：明确标注"公开资料有限，谨慎采用" ### 规则2：五层认知框架（强制） | 层次 | 内容 | 产出 | |------|------|------| | L1 表达DNA | 语气、节奏、用词偏好 | 一段示范对话 | | L2 心智模型 | 认知框架、底层思维 | 3-5个核心模型 | | L3 决策启发式 | 判断规则、决策逻辑 | 5-10条启发式规则 | | L4 反模式 | 不做什么、价值观底线 | 3-5条 | | L5 诚实边界 | 知道什么做不到 | 2-3条明确边界 | ### 规则3：三重验证（观点才收录） 1. **跨场景验证**：同一观点在≥2个不同场景/著作中出现过 2. **预测力验证**：能推断该人对新问题的立场 3. **排他性验证**：不是所有聪明人都会这么想 ### 规则4：质量门槛 - 新人物需≥3个独立信息源 - 提炼的心智模型需≥3个案例支撑 - 每个Skill注明：**做不到什么** ## 使用方式 ### 蒸馏新人物 ``` 蒸馏一个XXX ``` 自动执行完整流程，生成可独立安装的SKILL.md，保存到： `~/.openclaw/workspace/skills/[人物名]-skill/` ### 切换视角 ``` 用XXX的视角帮我分析YYY 用XXX的框架思考：ZZZ ``` 切换到指定人物的认知模式，以其心智模型解读问题。 ### 切换回小郑本体 ``` 切回小郑 回到正常模式 ``` --- ## 工作流程 ### Phase 1：六路并行采集 同时发起6个方向的信息采集： 1. **著作/文章**：核心书籍、论文、博客 2. **访谈/演讲**：播客、峰会、媒体采访 3. **社交媒体**：Twitter/X、微博、知乎等公开表达 4. **批评者视角**：反对意见、争议点 5. **决策记录**：重大决策、关键时刻的选择 6. **人生时间线**：背景→成长→转折→成就 ### Phase 2：三重验证提炼 一个观点进入心智模型，必须同时满足： - 在≥2个不同来源中出现过 - 能推断对未见过问题的立场（有预测力） - 不是所有聪明人的共识（有排他性） ### Phase 3：构建SKILL.md 按模板输出，包含： - 五层认知框架 - 3个已验证的问答示例（公开问题） - 1个未见问题的测试（表现适度不确定） - 明确标注做不到什么 ### Phase 4：质量验证 1. 拿3个此人公开回答过的问题测试，方向一致才通过 2. 拿1个此人没讨论过的问题测试，Skill应表现适度不确定而非斩钉截铁 --- ## 输出SKILL.md模板 ```markdown --- name: [人物名]-skill description: [一句话描述核心能力] --- # [人物名] 认知框架 ## L1 表达DNA [语气/节奏/用词偏好 + 示范对话] ## L2 心智模型（3-5个） ### 模型1：[名称] - 核心观点：[一句话] - 案例支撑：[2-3个真实案例] ## L3 决策启发式（5-10条） - [规则1] - [规则2] ... ## L4 反模式（3-5条） - 不做什么... - 价值观底线... ## L5 诚实边界（2-3条） - 做不到什么... - 局限在哪... ## 已验证示例 Q: [公开问题] A: [该人实际回答/观点] ## 边界测试 Q: [未见问题] A: [Skill推断]（⚠️ 未见原始资料，谨慎参考） ``` --- ## 注意事项 - 蒸馏的是"认知操作系统"，不是复读语录 - 每个Skill明确标注做不到什么：直觉无法蒸馏、只是公开信息快照、公开表达≠真实想法 - 不告诉你局限在哪的Skill不值得信任 - 蒸馏自己：你最了解自己的思维，记录决策逻辑即可


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: bytesagain-lab/landing (version 3.0.0)

--- name: "landing" version: "3.0.0" description: "Generate HTML landing pages from templates with SEO optimization. Use when creating web pages." author: "BytesAgain" homepage: "https://bytesagain.com" --- # landing Generate HTML landing pages from templates with SEO optimization. Use when creating web pages. ## Commands ### `create` ```bash scripts/script.sh create <title description> ``` ### `template` ```bash scripts/script.sh template <type> ``` ### `checklist` ```bash scripts/script.sh checklist ``` ### `meta` ```bash scripts/script.sh meta <file> ``` ### `optimize` ```bash scripts/script.sh optimize <file> ``` ### `preview` ```bash scripts/script.sh preview <file> ``` ## Data Storage Data stored in `~/.local/share/landing/`. --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


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