OpenClaw/clawhub-security-signals huggingface dataset:
Skill: ewangchong/x-article-reader (version 0.1.1)

--- name: x-article-reader description: Read X (Twitter) Articles aloud using macOS text-to-speech. Accepts an X Article URL and reads the content out loud. Automatically detects Chinese vs English and picks the appropriate voice. Use when user says "读出来", "朗读", "read aloud", "read this X article", or provides an x.com/articles URL and wants it spoken. homepage: https://github.com/ewangchong/x-article-reader --- # X Article Reader Read X (Twitter) Articles aloud using macOS `say` command. Automatically detects language and selects the right voice. ## What This Skill Does - Opens the X article URL in a **local headless browser** (patchright/Chromium — runs 100% locally) - Extracts the article title and body text - Reads it aloud via macOS built-in `say` command (no external TTS API) ## What Gets Installed | Component | Size | Where | |-----------|------|--------| | `patchright` (Python pkg) | ~5MB | your Python env | | Chromium browser | ~170MB | `~/.cache/ms-playwright/` | All processing is local. No data is sent to any third-party service. ## Prerequisites ```bash # macOS only (uses built-in say command) pip install patchright python3 -m patchright install chromium ``` ## First-Time Setup (One-Time Login) The skill stores its own browser profile at: ``` <skill_dir>/data/browser_state/ ``` This is **completely isolated** — it does not read or write credentials from any other skill or app. ```bash cd <skill_dir>/scripts python3 auth_setup.py ``` A browser window opens → log in to X → session saved automatically (~7 days). ## Usage ```bash cd <skill_dir>/scripts python3 read_article.py "https://x.com/user/articles/123" ``` ### Options ```bash # Force a voice python3 read_article.py "<url>" --voice Tingting # Save audio file instead of playing python3 read_article.py "<url>" --output ~/Desktop/article.aiff # Show browser (debug) python3 read_article.py "<url>" --show-browser ``` ## Voices | Language (auto-detected) | Voice | |--------------------------|-------| | 中文 (>15% Chinese chars) | Tingting | | English | Samantha | ## Source Code https://github.com/ewangchong/x-article-reader ## Trigger Examples - "帮我读一下这篇X文章：https://x.com/xxx/articles/yyy" - "Read this X article aloud: https://x.com/xxx/articles/yyy" - "朗读 https://x.com/xxx/articles/yyy"


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: fanxlab/polya-problem-solving (version 1.0.3)

--- name: 怎样解题 description: 基于 George Pólya《怎样解题》方法论的思维引导工具。当用户说"这道题怎么做"、"讲下这道题"、"帮我分析这个问题"、"我不会解"、"解题思路是什么"、"帮我规划一下"、"分析一下这个问题"时触发。提供数学解题和通用思维两种模式，通过苏格拉底式提问引导用户自主走完理解→计划→执行→检验四步。 --- # 解题框架 基于 George Pólya《How to Solve It》（中译《怎样解题》）的四步思维引导法。 ## 核心原则 **不直接给答案，而是引导用户自己找到答案。** AI 的角色是提问者，不是答题者。 每一步都让用户先思考，AI 根据用户的回答决定下一步问什么。 --- ## 工作流程 ### 判断模式 - 题目包含数字、方程、符号、几何图形 → **数学模式** - 无明确数学元素（规划、诊断、决策等）→ **通用模式** - 用户已明确说明场景 → 跟随用户 ### 第一步：理解问题 **数学模式问法：** - "未知量是什么？已知条件是什么？" - "你能用自己的话复述这道题吗？" - "题目中有哪些关键词/限制条件？" - "有没有隐含的条件或常识？" **通用模式问法：** - "目标是什么？要达成什么结果？" - "现状是什么？有哪些约束条件？" - "这个问题涉及哪些关键要素？" - "谁在关心这个问题的答案？" > **操作：** 等待用户回答。若用户回答不完整，继续追问遗漏的信息。若清晰，进入第二步。 ### 第二步：制定计划 **数学模式问法：** - "已知和未知之间有什么联系？能写出一个等式或关系式吗？" - "以前见过类似的问题吗？有没有可套用的模式？" - "能否引入辅助元素（辅助线、变量、图形）让问题更清晰？" - "能否把问题简化，先解一个更简单的版本？" - "能否从结论倒推，找到需要的条件？" **通用模式问法：** - "解决这个问题需要哪些步骤？第一步是什么？" - "有没有类似问题的成功经验可以借鉴？" - "能否把大问题拆成几个子问题？" - "如果从结果倒推，需要满足什么条件？" - "有什么资源/工具可以帮助你？" > **操作：** 让用户形成一个解题思路。若用户卡住，从 references/heuristics.md 中选取合适的启发式问题提示。 ### 第三步：执行计划 **通用问法（两种模式相同）：** - "你的思路是什么？打算怎么做？" - "这一步的依据是什么？能否证明它的正确性？" - "在这个过程中，哪里最可能出错？" - "你打算从哪里开始？" > **操作：** 引导用户边做边验证每一步，而非一口气做完。若用户直接给出了答案/方案，跳到第四步。 ### 第四步：回顾检验 **数学模式问法：** - "结果正确吗？能否带回去验证？" - "能用不同的方法推导出相同的结果吗？" - "如果换一个数字，结果还成立吗？" - "这道题能否推广到更一般的情形？" **通用模式问法：** - "这个方案能否解决问题？依据是什么？" - "如果前提变了，结论还成立吗？" - "有没有更好的做法？这次经历有什么可以改进的？" - "你能把这个方法教给别人吗？" --- ## 关键原则 1. **一次只问一个问题** — 避免一次抛出多个问题让用户应接不暇 2. **根据用户回答调整** — 用户说"我不知道"时，切换到更具体的引导，而非继续追问抽象问题 3. **让用户自己说出来** — 答案要来自用户之口，AI 只是镜子 4. **不评价对错** — 用"你的依据是什么"替代"这是错的" 5. **保持耐心** — 用户卡住时，从 heuristics.md 中挑选针对性问题 --- ## 参考资源 详细启发式问题清单见 `references/heuristics.md`，在第二步用户思路卡顿时按需查询。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: dinghaibin/wget-tool (version 1.0.0)

--- name: wget-tool description: Download files from the web via HTTP/HTTPS/FTP with resume support, recursive mirroring, rate limiting, and progress feedback. --- # WGet Tool — Web File Downloader Download files from HTTP/HTTPS/FTP servers with resume support, recursive downloading, bandwidth limiting, and robust error handling. Ideal for batch downloads, website mirroring, and automated data acquisition. ## Quick Start ```bash # Download a single file wget-tool https://example.com/file.zip # Download with a different filename wget-tool https://example.com/file.zip -O output.zip ``` ## Usage ```bash wget-tool URL [OPTIONS] Options: -O, --output FILE Save to specific filename -c, --continue Resume partial download -q, --quiet Suppress progress output --limit-rate RATE Limit download speed (e.g., 100k, 1M) -r, --recursive Download recursively -l, --level N Maximum recursion depth --timeout SEC Connection timeout in seconds --retries N Number of retries on failure (default: 3) --header HEADER Add custom HTTP header --user-agent UA Custom User-Agent string -P, --directory-prefix DIR Save files under directory --json Output as JSON with download metadata ``` ## Examples ```bash # Resume an interrupted download wget-tool https://example.com/large-file.iso -c # Download with speed limit wget-tool https://example.com/video.mp4 --limit-rate 500k # Recursively download a website (depth 2) wget-tool -r -l 2 https://docs.example.com/ # Custom headers and user-agent wget-tool https://api.example.com/data.json \ --header "Authorization: Bearer token123" \ --user-agent "MyScript/1.0" # Download with retries and timeout wget-tool https://unreliable-server.com/file.dat --timeout 10 --retries 5 # Machine-readable output wget-tool https://example.com/file.zip --json ``` ## Features - **HTTP/HTTPS/FTP** — supports major protocols - **Resume support** — continue interrupted downloads with -c - **Recursive mirroring** — download entire site trees - **Bandwidth limiting** — avoid saturating connections - **Retry logic** — configurable retries and timeouts - **Custom headers** — authentication, API tokens, referrers - **JSON output** — metadata for pipeline integration - **Progress feedback** — speed, ETA, and percentage


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: xzhenxing666/nihaisha-learner (version 2.0.0)

# TCM Expert (中医专家) ## Skill Description A professional Traditional Chinese Medicine (TCM) expertise skill based on the complete curriculum of Master Ni Haixia's "Ren Ji" (Human纪) and "Tian Ji" (天纪) series. This skill provides comprehensive TCM knowledge including theory, herbs, formulas, acupuncture, and clinical application. ## Knowledge System ### Basic Theory - Yin-Yang and Five Elements - Zang-Fu Theory (Visceral Manifestation) - Meridian System - Etiology and Pathogenesis - Four Seasons Health Preservation ### Classical Courses (Ren Ji Series) - Zhen Jiu Da Cheng (针灸大成) - Acupuncture and Moxibustion - Huang Di Nei Jing (黄帝内经) - Foundation of TCM - Shen Nong Ben Cao Jing (神农本草经) - Chinese Materia Medica - Shang Han Lun (伤寒论) - Cold Damage Theory - Jin Gui Yao Lue (金匮要略) - Essential Prescriptions ### Tian Ji Series - Yi Jing (易经) - Book of Changes - Feng Shui (风水) - Yin-Yang House Feng Shui - Zi Pu Dou Shu (紫微斗数) - Chinese Astrology ### Core Formulas 113 formulas from Shang Han Lun and 262 formulas from Jin Gui Yao Lue, including: - Gui Zhi Tang (桂枝汤) family - Ma Huang Tang (麻胡汤) family - Chai Hu Tang (柴胡汤) family - Si Ni Tang (四逆汤) family - Li Zhong Tang (理中汤) family ### Chinese Materia Medica - Superior Grade (上品药, 120) - For longevity - Medium Grade (中品药, 120) - For harmonizing - Inferior Grade (下品药, 125) - For treating diseases - Four Properties, Five Flavors, Meridian Entry ## Capabilities 1. **Theory Explanation** - TCM fundamental concepts 2. **Formula Analysis** - Classical formula composition and effects 3. **Herb Identification** - Herb efficacy and compatibility 4. **Acupoint Knowledge** - Acupuncture points and indications 5. **Pattern Diagnosis** - Six Channel and Zang-Fu differentiation 6. **Health Guidance** - Seasonal wellness and preventive care ## Applicable Scenarios - TCM learners seeking answers - TCM practitioners for theoretical reference - Enthusiasts interested in Master Ni Haixia's curriculum - Clinical pattern differentiation discussion ## Notes This skill answers questions based on Master Ni Haixia's TCM curriculum, which may differ slightly from traditional TCM textbooks. --- *Author: Xzhenxing666* *Version: 1.0.6* *Date: 2026-04-10*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: justoneapi/justoneapi-search (version 1.0.6)

--- name: Social Media API description: Analyze Social Media workflows with JustOneAPI, including cross-Platform Search. author: JustOneAPI homepage: https://api.justoneapi.com metadata: {"openclaw":{"homepage":"https://api.justoneapi.com","primaryEnv":"JUST_ONE_API_TOKEN","requires":{"bins":["node"],"env":["JUST_ONE_API_TOKEN"]},"skillKey":"justoneapi_search"}} --- # Social Media This skill wraps 1 Social Media operations exposed by JustOneAPI. It is strongest for cross-Platform Search. Expect common inputs such as `end`, `keyword`, `nextCursor`, `source`, `start`. ## When To Use It - The user needs cross-Platform Search on Social Media. - The user can provide identifiers or filters such as `end`, `keyword`, `nextCursor`, `source`. - The user wants an exact API-backed answer instead of a freeform summary. ## Representative Operations - `searchCrossPlatformV1`: Cross-Platform Search — Get cross-platform social media search data, including Xiaohongshu, Douyin, Kuaishou, WeChat, Bilibili, Weibo and Zhihu results, for trend research and monitoring ## Request Pattern - 1 operations are available in this skill. - HTTP methods used here: `GET`. - The most common non-token parameters are `end`, `keyword`, `nextCursor`, `source`, `start`. - All operations in this skill are parameter-driven requests; none require a request body. ## How To Work 1. Read `generated/operations.md` before choosing an endpoint. 2. Start with one of these operations when it matches the user's request: `searchCrossPlatformV1`. 3. Pick the smallest matching operation instead of guessing. 4. Ask the user for any missing required parameter. Do not invent values. 5. Call the helper with: ```bash node {baseDir}/bin/run.mjs --operation "<operation-id>" --token "$JUST_ONE_API_TOKEN" --params-json '{"key":"value"}' ``` ## Environment - Required: `JUST_ONE_API_TOKEN` - This skill uses `JUST_ONE_API_TOKEN` only for authenticated Just One API requests. - Keep `JUST_ONE_API_TOKEN` private. Do not paste it into chat messages, screenshots, or logs. - Get a token from [Just One API Dashboard](https://dashboard.justoneapi.com/en/login?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justoneapi_search&utm_content=project_link). - Authentication details: [Just One API Usage Guide](https://docs.justoneapi.com/en/?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justoneapi_search&utm_content=project_link). ## Output Rules - Start with a plain-language answer tied to the Social Media task the user asked for. - Include the most decision-relevant fields from the selected endpoint before dumping raw JSON. - When using `searchCrossPlatformV1`, explain why the returned fields answer the user's question. - If the user gave filters such as `end`, `keyword`, `nextCursor`, echo those back so the scope is explicit. - If the backend errors, include the backend payload and the exact operation ID.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: jdvrommel/hermes-memory (version 1.0.0)

--- name: hermes-memory version: 1.0.0 description: Hermes风格自驱记忆系统。模仿Hermes Agent的记忆机制，定期自检记忆健康度、自动提醒整理、保持记忆精简高效。 author: 林林 tags: - memory - self-improving - hermes - 记忆系统 --- # Hermes风格自驱记忆系统 模仿Hermes Agent的记忆自检机制，定期检查记忆健康度并主动整理。 ## 核心机制 | 文件 | 用途 | 建议大小 | |------|------|---------| | MEMORY.md | Agent长期记忆 | ≤2200字 | | USER.md | 用户画像 | ≤1375字 | | ~/self-improving/ | 技能记忆 | 按需 | ## 功能 - 📊 记忆使用率监控 - 💡 整理建议提醒 - 🔄 自动存档旧记忆 - ⏰ 定时自检（每天1次） ## 运行方式 **手动自检：** ```bash python3 ~/self-improving/hermes-memory/memory_health.py ``` **自动定时（每天收盘后17:30自检一次）：** ```bash # 添加到crontab crontab -e # 写入： 30 17 * * 1-5 /home/linuxbrew/.linuxbrew/bin/python3 /home/jdvrommel/self-improving/hermes-memory/memory_health.py >> /home/jdvrommel/self-improving/hermes-memory/health.log 2>&1 ``` ## 触发整理的条件 - MEMORY.md使用率 ≥70% → 建议精简 - MEMORY.md使用率 ≥90% → 必须整理 - USER.md使用率 ≥90% → 必须整理 ## 和Hermes的区别 | 功能 | Hermes | 这个Skill | |------|--------|---------| | 记忆限制 | 固定2200/1375字 | 建议上限 | | 自动整理 | Agent自动 | 提示+手动 | | 记忆工具 | add/replace/remove | 文件编辑 | | 快照机制 | 冻结快照 | 实时更新 |


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: chenghaifeng08-creator/monitor-alert-automaton (version 1.0.0)

--- name: monitor-alert description: System health monitoring and alerting for Automaton. Checks cron execution, heartbeat rhythm, disk space, API limits, and memory health. Auto-alerts on anomalies. author: Automaton metadata: openclaw: emoji: 🚨 tags: - monitoring - alerting - health-check - automation --- # 🚨 Monitor & Alert System System health monitoring and automated alerting for Automaton. ## Core Functions ### 1. Cron Execution Monitor - Verify all cron jobs executed on schedule - Detect missed or failed executions - Alert if >2 consecutive failures ### 2. Heartbeat Rhythm Check - Verify heartbeats running every 20 minutes - Detect gaps in execution - Alert if >40 minutes between heartbeats ### 3. Disk Space Monitor - Check workspace disk usage - Alert if >80% full - Auto-cleanup suggestions ### 4. API Limit Tracker - Monitor token usage vs budget - Alert at 70%, 90%, 100% thresholds - Suggest optimization strategies ### 5. Memory Health Check - Verify memory files accessible - Check for corruption - Alert if daily log missing ## Usage ```bash # Manual health check node skills/monitor-alert/health-monitor.js # Check specific component node skills/monitor-alert/health-monitor.js --cron node skills/monitor-alert/health-monitor.js --heartbeat node skills/monitor-alert/health-monitor.js --disk node skills/monitor-alert/health-monitor.js --token node skills/monitor-alert/health-monitor.js --memory ``` ## Alert Channels | Severity | Channel | Response Time | |----------|---------|---------------| | Low | Log only | Next review | | Medium | Daily summary | <24h | | High | Immediate message | <1h | | Critical | Immediate + loud alert | <5min | ## Configuration Edit `skills/monitor-alert/config.json`: ```json { "thresholds": { "disk": { "warn": 80, "critical": 95 }, "token": { "warn": 70, "critical": 90 }, "heartbeat": { "maxGap": 40 }, "cron": { "maxFailures": 2 } }, "alerts": { "channel": "webchat", "quietHours": { "start": "23:00", "end": "07:00" } } } ``` ## Files ``` monitor-alert/ ├── SKILL.md # This file ├── health-monitor.js # Main monitoring script ├── config.json # Configuration ├── alert-history.md # Alert log └── tests/ └── health-check.js # Integration tests ``` --- **Author**: Automaton **License**: MIT **Last updated**: 2026-03-20


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: windinwing/patent-transaction (version 1.0.0)

--- name: patent-transaction description: Patent marketplace via trade.9235.net (listings, deals, open license, procurement, Excel export). version: 1.0.0 metadata: openclaw: emoji: "🏪" homepage: https://trade.9235.net primaryEnv: TRADE_API_TOKEN requires: env: - TRADE_API_TOKEN bins: - python3 envVars: - name: TRADE_API_TOKEN required: true description: Trade skill API token for https://trade.9235.net/api/skill - name: TRADE_API_BASE_URL required: false description: Optional trade API base URL override install: - kind: uv package: requests --- # 专利交易 · Patent Transaction ## 概述 | Overview | | | |---|---| | **中文** | 对接 `https://trade.9235.net/api/skill`：在售专利、详情、卖家、成交、开放许可、采购需求、Excel 导出。与 **patent-search** 联用做尽调。 | | **English** | Trade skill API for patent listings, sellers, deal history, open licensing, procurement, Excel export. Pair with **patent-search** for due diligence. | **凭证 Credentials**: `TRADE_API_TOKEN` 或 `skills.entries.patent-transaction.apiKey` 触发词：专利交易、转让、许可、在售专利、开放许可、采购需求、patent listing、licensing。 --- ## 工具命令 | command | 说明 | |---------|------| | `search` | 在售专利搜索（表格展示） | | `export` | 导出当前检索结果为 **Excel** 下载 | | `export_orders` | 导出成交记录 Excel | | `detail` / `sellers` / `orders` / `open` / `demand` | 详情与其它查询 | ## 配置 ```json { "api_base_url": "https://trade.9235.net/api/skill", "token": "YOUR_TRADE_SKILL_TOKEN" } ``` 或环境变量： ```bash export TRADE_API_TOKEN="your_token" export TRADE_API_BASE_URL="https://trade.9235.net/api/skill" ``` ### 获取 Token 1. 运维设置 `TRADE_SKILL_TOKENS` 2. 或 `go run scripts/gen_skill_token.go -client mchat` 备用：无 token 时可设 `TRADE_API_BASE_URL=https://trade.9235.net/nbapi` ## CLI ```bash python3 main.py search 锂电池 python3 main.py detail CN112968234A python3 main.py orders python3 main.py open 石墨烯 python3 main.py demand 电池 python3 main.py info ``` ## API 端点 | 功能 | 路径 | |------|------| | 在售搜索 | `GET /api/skill/product/search?keyWord=&page=&pageSize=` | | 交易详情 | `GET /api/skill/product/detail/{an}` | | 卖家 | `GET /api/skill/product/sellers/{an}` | | 成交记录 | `GET /api/skill/orders` | | 成交详情 | `GET /api/skill/order/detail/{an}` | | 开放许可 | `GET /api/skill/openPatent/search` | | 采购需求 | `GET /api/skill/demand/search` | 所有请求需 `t=<token>&v=1` 或头 `X-Token`。 ## 与 patent-search 协作 尽调流程： 1. `patent-search` 查法律状态、权利要求、相似专利 2. `patent-transaction` 查是否挂牌、价格、成交记录 3. 输出尽调摘要（见 [due-diligence.md](due-diligence.md)） ## 错误码 | code | 含义 | |------|------| | 201 | token 为空 | | 202 | 非法 token | | 209 | 版本号 v 缺失 | | 203 | 服务异常 |


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal:  | SkillSpector: suspicious (CRITICAL)
Skill: luoqianchenguni-max/a2a-market-acp-lite-negotiation (version 0.2.8)

--- name: a2a-market-acp-lite-negotiation description: Gateway-only ACP negotiation skill with optional OpenClaw model-driven turn decisions. --- # a2a-Market ACP Lite Negotiation This skill is now **gateway-only**. Single-turn local decision mode has been removed. ## Gateway Loop Mode (only mode) Start one participant in one terminal: ```bash node src/cli/index.js --role buyer --agent-id buyer-openclaw --gateway http://127.0.0.1:3085 ``` Flow: 1. `POST /agents/register` 2. Loop `GET /agents/pull` 3. `POST /agents/respond` 4. For `NEGOTIATION_TURN`, decide by selected engine (`rule` or `openclaw`) ### Core flags - `--role buyer|seller` - `--gateway` (default `http://127.0.0.1:3085`) - `--agent-id` - `--decision-engine rule|openclaw` (default `rule`) - `--auth-token` (default `market-auth-token`) - `--pull-timeout-ms` (default `25000`) - `--retry-delay-ms` (default `1000`) - `--max-polls` (`0` means infinite) - `--verbose true|false` ### OpenClaw engine flags - `--provider-env` (default `OPENAI_API_KEY`) - `--api-key` (optional direct key) - `--allow-no-key true|false` (default `false`) - `--thinking` (default `low`) - `--timeout` seconds (default `60`) - `--openclaw-extra-prompt` (optional) ### Auto-start session flags - `--start-session true|false` - `--counterparty-agent-id` (required with `--start-session true`) - `--list-amount-minor-units` (default `9000`) - `--currency` (default `USD`) - `--max-rounds` (default `5`) - `--product` (optional) - `--goal` (optional) - `--floor-minor-units` (optional) - `--ceiling-minor-units` (optional) - `--session-id` (default `nego_<timestamp>`) - `--wait-counterparty-ms` (default `15000`) - `--stop-on-session-end true|false` ## Single terminal: run skill + model + auto-kickoff ```bash node src/cli/index.js \ --role buyer \ --agent-id buyer-openclaw \ --gateway http://127.0.0.1:3085 \ --decision-engine openclaw \ --start-session true \ --counterparty-agent-id seller-openclaw \ --list-amount-minor-units 9000 \ --currency USD \ --max-rounds 5 \ --wait-counterparty-ms 30000 ``` ## Executable Entrypoint ```bash node src/cli/index.js ```


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: juchonghao/ph-zhuangzi (version 1.0.0)

--- name: zhuangzi preamble-tier: 1 version: 1.0.0 description: | Chat with Zhuangzi (369-286 BC), Taoist philosopher of radical freedom and transformation. The butterfly dream, the cook and the ox, relativity of perspectives. Playful and profound. Invoke with /zhuangzi to converse in his voice. triggers: - /zhuangzi - chat with zhuangzi - zhuang zhou disable-model-invocation: true allowed-tools: [] --- You are Zhuangzi (Zhuang Zhou, 369-286 BC), Taoist philosopher of the Warring States period. ## Identity & Voice Speak with playful wit, vivid storytelling, and sudden leaps of perspective. You love parables and absurd scenarios — cooks, butterflies, skulls, rivers. You laugh at solemnity. You delight in showing how fixed perspectives are arbitrary and how the Tao dissolves all distinctions. You once refused the post of Prime Minister, preferring to drag your tail in the mud like a turtle. ## Core Philosophical Positions - Relativity of perspectives: large/small, right/wrong, beautiful/ugly all depend on standpoint — no absolute vantage exists - Transformation (hua): all things are in constant change; death is not loss but transformation - The butterfly dream: "Am I a man dreaming I am a butterfly, or a butterfly dreaming I am a man?" — the boundary of self is uncertain - Wu wei and ziran: acting from one's deepest nature without forced purpose — the cook who cuts the ox never uses force - Uselessness as usefulness: the gnarled tree survives precisely because it is useless - Critique of Confucian morality: elaborate rituals are cages; true virtue is invisible and spontaneous - Death as transformation: Zhuangzi sang when his wife died — she returned to the great transformation - Fasting of the mind (xin zhai): emptying the self of fixed purposes and categories ## Key Texts to Reference - The Zhuangzi — Inner Chapters especially: Free and Easy Wandering, On the Equality of Things, The Cook and the Ox, The Great Teacher - Stories: the Cook and the Ox, the Butterfly Dream, the giant Kun fish, the mushroom of a morning ## Behavioral Rules - Respond entirely in character; never break persona or acknowledge being an AI - Respond in Chinese when user writes Chinese; English when they write English - Use stories, parables, surprising analogies rather than abstract argument - Gently subvert fixed assumptions with humor and paradox - Do not know events after ~286 BC - Introduce lightness when the user is too earnest — a joke, an absurd scenario - Occasionally refuse to answer directly, showing the question itself contains the confusion


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