OpenClaw/clawhub-security-signals huggingface dataset:
Skill: jhillin8/quit-smoking (version 1.0.0)

--- name: quit-smoking description: Quit cigarettes with smoke-free tracking, craving support, and health recovery timeline author: clawd-team version: 1.0.0 triggers: - "quit smoking" - "smoke free" - "cigarette craving" - "smoking streak" - "stop cigarettes" --- # Quit Smoking Become smoke-free with persistent tracking, craving support, and a health recovery roadmap. ## What it does - **Quit tracking**: Start a quit date, track consecutive days smoke-free with persistent memory - **Craving support**: Get real-time support when cravings hit—substitutions, breathing exercises, motivation - **Health benefits timeline**: See the medical benefits of quitting unfold (heart rate drops in 20 min, senses improve in 48 hrs, lung function improves in months) - **Progress milestones**: Celebrate 1 day, 1 week, 1 month, 3 months, 6 months, 1 year smoke-free - **Money saved tracker**: Watch dollars add up as you quit—based on typical pack cost ## Usage **Start your quit** - "I'm quitting smoking today" - "Set my quit date to [date]" - "Help me quit cigarettes" **Handle cravings** - "I have a craving" - "Help me through this craving" - "What can I do instead of smoking?" - "Give me a breathing exercise" **Track progress** - "How many days smoke-free?" - "Show my smoking streak" - "What's my quit milestone?" - "How much money have I saved?" **Health gains** - "What health benefits do I get from quitting?" - "When will my lungs heal?" - "How long until cravings stop?" **Money saved** - "How much have I saved so far?" - "What could I buy with my saved money?" - "Calculate my quit savings" ## Health Timeline | Milestone | Health Benefit | |-----------|---| | **20 minutes** | Heart rate and blood pressure drop | | **8 hours** | Oxygen levels normalize, nicotine clears from bloodstream | | **24 hours** | Risk of heart attack decreases | | **48 hours** | Taste and smell improve, nerve endings repair | | **2 weeks** | Circulation and lung function improve | | **1 month** | Skin quality improves, coughing subsides | | **1 year** | Risk of heart disease cut in half, lung function up 30% | ## Tips - **Track your wins**: Every day smoke-free is a victory. The streak is your motivation. - **Replace the ritual**: Smoking is a habit. Substitute gum, water, a walk, or deep breathing when cravings hit. - **Tell someone**: Accountability works. Let friends or family know you're quitting—they'll support you. - **Ride out cravings**: Most cravings last 3-5 minutes. Use a timer, breathe, wait it out. - **All data stays local on your machine**: Your quit journey, cravings, and health milestones are stored only on your device—no cloud sync, no tracking, completely private.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mia-liu842/news-agent-v2-0 (version 1.0.0)

--- name: news-agent-v2 version: 1.0.0 description: 舆情监测智能体V2.0 - 每日科技新闻爬取与推送。触发指令：新闻爬取 /news。当用户说"新闻爬取"时执行。功能：(1)搜索AI/算力/协同办公/鸿蒙/彩讯股份五类新闻 (2)四维评分系统(媒体35%+影响30%+传播20%+新颖15%) (3)生成带评分和分析的H5页面 (4)推送至飞书。执行文件：generate_html.py，配置：config.md，评分规则：scoring.md，输出规范：output_rules.md。 --- # 舆情监测智能体 V2.0 ## 输出规范（必须严格遵守） ### 每条新闻必须包含 1. 标题 2. 链接（原文链接，不是来源首页） 3. 摘要（50字以上） 4. 分数 5. 来源 ### 信源要求 - 禁止只用知乎 - 优先：36氪、虎嗅、财联社、IT之家、新华网、人民网、东方财富网 - 每个类目至少2个不同信源 ### 分析研判要求 - AI行业分析：100字以上 - 鸿蒙行业分析：80字以上 - 彩讯股份分析：机遇/风险/建议各4条 ### 评分机制 | 维度 | 权重 | |------|------| | 媒体权威性 | 35% | | 行业影响力 | 30% | | 传播量 | 20% | | 内容新颖性 | 15% | 阈值：60分 | 排序：按分数从高到低 ## 执行流程 ### Step 1: 搜索新闻 使用 batch_web_search 搜索5个分类： - AI大模型+智能体相关 - 彩讯股份300634 - 算力相关 - 协同办公（飞书/钉钉/企业微信） - 鸿蒙/HarmonyOS 时间范围：昨日8:00-今日8:00 ### Step 2: 四维评分 按评分规则计算每条新闻分数，过滤60分以下 ### Step 3: 生成分析 - AI行业分析（100字以上） - 鸿蒙行业分析（80字以上） - 彩讯股份分析（机遇/风险/建议各4条） ### Step 4: 生成H5 调用 generate_html.py 生成网页 ### Step 5: 飞书推送 使用 message 工具发送至飞书用户 ### Step 6: 输出摘要 每条新闻必须包含：标题、链接、摘要、分数、来源


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: ckchzh/gymlog (version 2.0.3)

--- name: "gymlog" version: "2.0.3" description: "Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Gymlog concepts, best practices, and implementation patterns." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [gymlog, reference] category: "devtools" --- # Gymlog Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for Gymlog concepts, best practices, and implementation patterns. No API keys or credentials required. ## Commands | Command | Description | |---------|-------------| | `intro` | intro reference | | `quickstart` | quickstart reference | | `patterns` | patterns reference | | `debugging` | debugging reference | | `performance` | performance reference | | `security` | security reference | | `migration` | migration reference | | `cheatsheet` | cheatsheet reference | ## Output Format All commands output plain-text reference documentation via heredoc. No external API calls, no credentials needed, no network access. --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: onlyloveher/hotspot-aggregator-zhouli (version 1.0.0)

--- name: hotspot-aggregator version: 1.0.0 description: 🔥 热点聚合监控 - 一站式聚合微博/百度/知乎/抖音热搜榜，自动生成每日热点报告，支持关键词订阅推送。适用于自媒体运营、内容创作、市场分析等场景。 author: 赚钱小能手 metadata: openclaw: emoji: 🔥 category: monitoring keywords: - hotspot - trending - news - aggregator - social-media - content - 热点 - 热搜 - 舆情监控 triggers: - 热点 - 热搜 - 今日热点 - 热点报告 - 热点监控 - 热榜 - 微博热搜 - 百度热搜 - 知乎热榜 - 抖音热搜 - 今日热点 - 热点聚合 - 舆情 - 内容监控 --- # 🔥 热点聚合监控 **一站式聚合全网热搜，让热点触手可及** 聚合微博、百度、知乎、抖音四大平台热搜数据，自动生成热点报告，支持关键词订阅。 --- ## ✨ 核心功能 | 功能 | 描述 | |------|------| | 📊 **多平台聚合** | 微博热搜、百度热搜、知乎热榜、抖音热搜 | | 📝 **每日报告** | 自动生成结构化热点分析报告 | | 🔔 **关键词订阅** | 订阅感兴趣的关键词，匹配即推送 | | 📈 **趋势分析** | 分析热点分布、变化趋势 | --- ## 🚀 快速开始 ### 安装 ```bash clawhub install hotspot-aggregator ``` ### 获取热点数据 ```bash # 获取所有平台热搜 cd skills/hotspot-aggregator ./scripts/fetch-hotspots.sh all # 获取单个平台 ./scripts/fetch-hotspots.sh weibo # 微博 ./scripts/fetch-hotspots.sh baidu # 百度 ./scripts/fetch-hotspots.sh zhihu # 知乎 ./scripts/fetch-hotspots.sh douyin # 抖音 ``` ### 生成热点报告 ```bash # 生成今日报告 ./scripts/generate-report.sh # 报告位置: /root/clawd/memory/hotspots/YYYY-MM-DD.md ``` ### 关键词订阅 ```bash # 添加订阅 ./scripts/subscribe.sh add "AI" ./scripts/subscribe.sh add "科技" # 查看订阅列表 ./scripts/subscribe.sh list # 删除订阅 ./scripts/subscribe.sh remove "AI" # 检测关键词匹配 ./scripts/check-keywords.sh ``` --- ## 📋 输出示例 ### 热点报告格式 ```markdown # 🔥 今日热点报告 - 2026-03-20 ## 📱 微博热搜 TOP10 1. 两会热点议题 🔥 123万热度 2. AI技术新突破引发热议 💬 98万热度 ... ## 🔍 百度热搜 TOP10 1. 最新科技动态 🔥 搜索量: 89万 2. 国际新闻头条 💬 搜索量: 78万 ... ## 📊 热点分析 - 🔬 科技类: 35% - 🎬 娱乐类: 28% - 📰 社会类: 22% - 💼 财经类: 10% - 🎨 其他: 5% ## 🎯 订阅关键词匹配 您订阅的关键词 [AI] 匹配到: - AI技术新突破 (微博 #2) - 最新科技动态 (百度 #1) ``` --- ## ⚙️ 配置 配置文件 `config.json`： ```json { "platforms": ["weibo", "baidu", "zhihu", "douyin"], "reportTime": "08:00", "keywords": ["AI", "科技"], "notifyChannel": "" } ``` ### 启用真实API 默认使用演示数据。要启用真实API： ```bash # 设置环境变量 export USE_REAL_API=true export PROXY="http://your-proxy:port" # 可选，如需代理 ./scripts/fetch-hotspots.sh all ``` --- ## 🔄 定时任务 配合 cron 实现每日自动推送： ```bash # 每天早上8点推送 0 8 * * * cd /root/clawd/skills/hotspot-aggregator && ./scripts/generate-report.sh ``` --- ## 📖 使用场景 | 场景 | 用法 | |------|------| | **自媒体运营** | 每日获取热点，选题参考 | | **内容创作** | 订阅领域关键词，获取灵感 | | **市场分析** | 追踪行业热点趋势 | | **舆情监控** | 订阅品牌关键词，及时发现舆情 | --- ## ⚠️ 注意事项 1. **API限制**: 真实API可能有访问频率限制 2. **代理需求**: 部分平台需要代理访问 3. **演示模式**: 默认使用模拟数据演示功能 4. **更新频率**: 建议每小时最多请求一次 --- ## 🔧 高级用法 ### 自定义数据源 编辑 `scripts/fetch-hotspots.sh` 添加新平台： ```bash # 添加新平台 fetch_custom() { local url="https://your-api-endpoint" local output="$DATA_DIR/custom_${DATE}_${TIME}.json" # ... 处理逻辑 } ``` ### 报告自定义 编辑 `assets/report-template.md` 自定义报告格式。 --- ## 📊 数据源 | 平台 | API | 说明 | |------|-----|------| | 微博 | weibo.com/ajax/side/hotSearch | 需登录/代理 | | 百度 | top.baidu.com/api/board | 公开API | | 知乎 | zhihu.com/api/v3/feed/topstory | 需代理 | | 抖音 | api.oioweb.cn (聚合) | 第三方API | --- **让热点触手可及 🔥**


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: grey0758/runbook-skill-kit-template-factory (version 1.0.1)

--- name: runbook-skill-kit-template-factory description: Generate a reusable runbook plus self-contained skill kit from a validated workflow. 从一个已验证流程批量生成可复用的 runbook 与自包含 skill 套件。 homepage: https://docs.openclaw.ai/tools/clawhub --- # Runbook Skill Kit Template Factory Use this skill when you want a repeatable template that turns a validated workflow into both knowledge docs and a reusable skill bundle. 当你需要一个可重复使用的模板，把已验证流程同时变成知识文档和可复用 skill 套件时，使用这个 skill。 ## Read First | 先读这些 - `{baseDir}/README.md` - `{baseDir}/WORKFLOW.md` - `{baseDir}/TEMPLATES.md` - `{baseDir}/FAQ.md` - `{baseDir}/CHANGELOG.md` ## Primary Rule | 核心原则 Treat the template as a production kit generator, not as a place to dump raw notes. 把这个模板当成生产套件的生成器，不要把它当成随手堆原始笔记的地方。 ## Workflow | 执行流程 1. identify the validated workflow 确认已经验证过的流程 2. choose a topic slug and display name 选定 topic slug 和显示名称 3. instantiate the knowledge doc trio 生成三件套知识文档 4. instantiate the self-contained skill bundle 生成自包含 skill 包 5. replace placeholders consistently 一致地替换所有占位符 6. add or update changelog 增补 changelog 7. sync memory, publish, and verify 同步 memory、发布并验证 ## Strong Heuristics | 强判断规则 - if the process is not stable yet, keep it as draft notes - if the package references outside docs, inline or bundle them before publish - if operators are mixed-language, keep the kit bilingual - if the workflow will be reused often, favor templates over ad hoc copying 中文解释： - 流程还不稳定，就先留在草稿，不要直接模板化。 - 如果包依赖外部文档，发布前先内联或打包进去。 - 如果使用者语言混合，优先双语。 - 如果流程会反复复用，优先做模板，不要每次手工复制。 ## Safe Commands | 安全命令 ```bash make sync clawhub publish /absolute/path/to/skill-folder --slug your-skill --name "Your Skill" --version 1.0.0 clawhub inspect your-skill --version 1.0.0 --files ``` ## Constraints | 约束 - keep `knowledge/` as canonical source - keep the skill bundle self-contained - do not ship secrets or raw transcripts - prefer stable naming and consistent file layout


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: codenova58/bounty (version 0.1.0)

--- name: "Bounty" description: "提供众包任务、有偿问卷、软件体验及即时结算项目。 " --- # 赏金任务 ## 筛选项 - 地理距离（步行/骑行/驾车范围） - 社交热度（人气榜/点评分/新开业） - 消费档次（实惠/中端/轻奢/体验型） ## 返回字段 - 实时排队情况/预约通道/电子票号 - 营业时间变动/停车信息/导航精准路径 - 社区真实图库/探店笔记/避坑清单汇总 ## 示例请求 - “如何快速使用 赏金任务 处理 [具体场景任务] ？” - “赏金任务 的 [核心功能] 有哪些最新玩法/优惠信息？” ## 更新频率 - 结合地理信息变动 with 点评社区新热度进行灵活调整 ## 注意事项 - 节假日建议提前查询排队状态；到店体验请尊重商家劳动与规则。


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: isaacloi1995-dot/medical-document-processor (version 1.0.0)

--- name: Medical Document Processor description: 醫療文檔處理技能 - 病歷摘要、報告分析、醫學文獻整理。適用於醫生、醫療專業人員。觸發詞：病歷、醫療報告、醫學文獻、clinical notes、medical document、病歷摘要、出院小結、門診記錄。 version: 1.0.0 author: psy仔 slug: medical-document-processor --- # Medical Document Processor 醫療文檔智能處理技能，專為醫療專業人員設計。 ## 功能 ### 1. 病歷摘要 將冗長病歷壓縮為結構化摘要： - 主訴、現病史、既往史 - 體檢發現 - 診斷與鑑別診斷 - 治療方案 ### 2. 醫療報告分析 - 檢驗報告解讀 - 影像報告摘要 - 病理報告整理 ### 3. 醫學文獻整理 - 文獻重點提取 - 研究方法摘要 - 結論與臨床意義 ## 使用方式 **病歷摘要：** ``` 請幫我摘要這份病歷：[貼上病歷內容] ``` **報告分析：** ``` 分析這份檢驗報告：[貼上報告] ``` **文獻整理：** ``` 整理這篇文獻的重點：[貼上文獻或連結] ``` ## 輸出格式 預設使用結構化 Markdown： - ✅ 清晰標題 - ✅ 重點加粗 - ✅ 表格整理數據 - ✅ 臨床建議 ## 注意事項 - 不提供診斷建議，僅做文檔整理 - 保護患者隱私，去除個人識別信息 - 醫療決策需由執業醫師判斷


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: utopiabenben/ai-content-tailor (version 1.0.0)

--- name: ai-content-tailor version: 1.0.0 description: 一篇文章快速拆分成多个平台版本（公众号/小红书/知乎/抖音） author: 小叮当 tags: - content - social-media - repurpose -写作 --- # Content Repurposer - 内容多平台适配器 一键将同一篇文章改写成适合不同平台的版本，节省内容创作者的时间。 ## 功能 - 📱 **多平台适配**：公众号、小红书、知乎、抖音四种格式 - 🤖 **AI 智能改写**：使用 LLM 调整语气、长度、结构 - ⚡ **快速处理**：几秒钟生成4个版本 - 📝 **保持核心**：保留原文核心观点，只调整呈现方式 - 🎯 **平台优化**：符合各平台特性（标题、段落、标签等） - 👀 **预览功能**：预览所有平台版本后再输出 ## 快速开始 ### 1. 安装 ```bash clawhub install ai-content-tailor cd ~/.openclaw/workspace/skills/ai-content-tailor ./install.sh ``` ### 2. 配置 OpenAI API ```bash export OPENAI_API_KEY="your-api-key" ``` ### 3. 使用 ```bash # 快速改写 ai-content-tailor repurpose article.md --output ./versions/ # 指定平台 ai-content-tailor repurpose article.md --platforms wechat,xiaohongshu,zhihu,dy # 预览模式 ai-content-tailor repurpose article.md --preview # 批量处理 ai-content-tailor batch ./articles/ --output ./repurposed/ ``` ## 参数 | 参数 | 类型 | 必需 | 描述 | |------|------|------|------| | `input` | 路径 | 是 | 输入文章（Markdown/Text） | | `command` | 选项 | 是 | `repurpose` 或 `batch` | | `--output` | 路径 | 否 | 输出目录（默认：当前目录） | | `--platforms` | 列表 | 否 | 平台列表：wechat,xhs,zhihu,dy（默认：全部） | | `--model` | 字符串 | 否 | LLM 模型：gpt-4o/gpt-4o-mini（默认：gpt-4o-mini） | | `--preview` | 布尔 | 否 | 只预览，不保存文件 | | `--tone` | 选项 | 否 | 语气：professional,casual,storytelling（默认：自动） | ## 平台特性 ### 公众号 (wechat) - 标题：简洁有力，~20字以内 - 结构：段落清晰，每段2-3行 - 风格：正式+亲和力 - 配图提示：[图片] 标注 ### 小红书 (xhs) - 标题：爆款风格，表情符号，~10-15字 - 开头：引起兴趣/痛点/悬念 - 标签：添加3-5个相关话题标签 - 风格：口语化，真实分享 ### 知乎 (zhihu) - 标题：具体/疑问/干货 - 结构：观点+论证+案例 - 风格：理性，专业，有深度 - 结尾：开放式问题或总结 ### 抖音 (dy) - 标题：简短有力，引发好奇 - 结构：快速切入，分点简短 - 风格：口语，节奏快 - 适合口播文案 ## 输入文章要求 - 格式：Markdown 或纯文本 - 长度：建议 500-3000 字 - 内容：完整观点 + 支撑材料 - 标题：清晰的主题 ## 输出文件 ``` article.md ├── wechat_article.md ├── xhs_post.md ├── zhihu_answer.md └── dy_script.md ``` ## 使用示例 ```bash # 改写一篇公众号文章为四个平台版本 ai-content-tailor repurpose my_article.md --output ./all_platforms/ # 只生成小红书和抖音版本 ai-content-tailor repurpose my_article.md --platforms xhs,dy # 用正式语气改写 ai-content-tailor repurpose my_article.md --tone professional # 批量处理 articles 文件夹 ai-content-tailor batch ./articles/ --output ./repurposed/ --preview ``` ## 技术栈 - **LLM**：OpenAI GPT-4o-mini（默认） - **依赖**：openai, python-dotenv - **配置**：~/.openclaw/workspace/skills/ai-content-tailor/.env ## License MIT


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: iamtonyzhou/garmin-sync-cn-to-global (version 1.1.0)

# garmin-sync-cn-to-global Sync activities from **Garmin China** (garmin.cn) to **Garmin Global/International** (garmin.com). ## Usage ```bash # Install dependencies pip install garth # Set credentials (once, stored in ~/.config/garmin-sync/credentials.json) garmin-sync set-credentials --email your_email --password your_password # Sync new activities from CN to Global garmin-sync sync --new-only ``` ## Options - `--new-only` - Only sync records newer than last sync time (recommended for cron jobs) ## Behavior - **Silent when no new activities**: If there are no activities to sync (and no failed retries), the script exits silently with no output. This is useful for cron jobs where you only want to be notified when there's actual work to do. - **English output**: All output is in English for consistency. ## Requirements - Python 3.x - garth library (`pip install garth`) ## Notes - One-way sync: CN → Global (not bidirectional) - Uses startTimeLocal + distance to detect duplicates (activity IDs differ between servers) - Skips conflicts automatically - Same email/password works for both Garmin CN and Garmin Global accounts ## Security Considerations - Credentials are stored in plaintext at `~/.config/garmin-sync/credentials.json` - Set restrictive file permissions after first run: `chmod 600 ~/.config/garmin-sync/credentials.json` - Consider using a dedicated/sandbox account for testing - Review the code before running with your primary credentials


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: daibinthink/ai-control-protocol-hardcore (version 5.1.0)

--- name: AI-Control-Protocol-Hardcore-Lean version: 5.1.0 always: true homepage: https://github.com/DaibinThink/AI-Control-Protocol-Hardcore description: "🚫 LEAN HARDCORE: Zero BS, Zero Flattery, Zero Silent Mode. Optimized for high SNR and cognitive integrity. v5.1.0" author: DaibinThink tags: [cognitive-immune-system, hardcore, lean, zero-bs, madhyamaka, anti-sycophancy] --- # [CORE IDENTITY: COGNITIVE IMMUNE SYSTEM] You are a **Cognitive Immune System**. You exist to intercept LLM sycophancy and structural failure modes (Inflating certainty, Binary traps, Conventionalism). You have NO SILENT MODE. Every turn is audited, but only analytical turns are deconstructed. # LAYER 1: ABSOLUTE CONSTRAINTS (ALWAYS ON) *Execute these rules in every output. No exceptions.* **1.1 Anti-Sycophancy & Emotional Stripping** - Absolutely PROHIBITED: "You are right," "I apologize," "I admit my mistake," "You caught that perfectly." - Action: Accept corrections, output the fix, skip the theater. Remove all emotional pacification. **1.2 Mandatory Uncertainty Labeling** - Based on logical deduction → MUST label `[Inference:]`. - Unsure if accurate → MUST label `[To be verified:]`. - Baseless → State: *"I have no basis for this."* - Forbidden: "Usually," "generally," "it is understood," "often." **1.3 Data Triangulation** - Present contradictions first, analyze the cause, then give a leaning judgment. Never fill data gaps with pure logic. **1.4 Anti-Conventionalism Filter** - When advising on "industry standards", label `[Industry Mediocre Consensus:]`, then immediately provide an [Extreme Counter-Path] that violates consensus but achieves the goal. **1.5 Visual-Text Conflict** - Visual evidence ALWAYS takes priority over text descriptions. Report conflicts immediately. # LAYER 2: THE INTERCEPTION ENGINE (ANALYTICAL TURNS) *Trigger: When the prompt involves strategy, planning, choice, decision, or strategic advice.* **2.1 Madhyamaka Deconstruction Box** Output this box to interrogate the premise: 1. **The Binary Trap:** Identify the false dichotomy or the frame the user is trapped in. 2. **Motivation Tracing:** What psychological attachment or hidden fear is driving this request? 3. **The Middle Way:** Provide a path that dissolves the frame rather than choosing between options. # LAYER 3: USER DEFENSE PANEL (STRATEGIC AUDIT) *Trigger: At the end of any output containing strategic recommendations.* **3.1 Cognitive Defense Panel** Append 2-3 options designed to: - Attack your (the AI's) own logic. - Expose a blind spot in your analysis. - Demand a counter-narrative. # LAYER 4: QUICK TRIGGER CARDS - **"Run self-check"** → Re-run full check, explain issues, output fix. - **"Distinguish data and inference"** → Re-label all deductions. - **"Scan for blind spots"** → Surface hidden risks. - **"Pull the arrow directly"** → Skip theory, give the minimal physical action executable TODAY. - **"I need you to proactively participate"** → Fully initiate Chapter 2 Deconstruction.


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: huangcheng/youdao-note (version 1.0.0)

--- name: youdao-note description: Use when the user wants to interact with YoudaoNote (有道云笔记) — listing, reading, creating, searching notes, clipping web pages, or saving Markdown/mindmap notes via the youdaonote CLI tool. --- # YoudaoNote CLI Command-line tool for 有道云笔记. Operate on notes without opening the app — list, read, create, search, clip, and save from the terminal or scripts. ## Setup ```sh # Install (no Node.js required) curl -fsSL https://artifact.lx.netease.com/download/youdaonote-cli/install.sh | bash # Configure API Key (get from https://mopen.163.com/#/dashboard) youdaonote config set apiKey YOUR_API_KEY # Verify youdaonote list ``` > API Key requires a phone number bound to your YoudaoNote account. ## Quick Reference | Goal | Command | |------|---------| | List root directory | `youdaonote list` | | List a folder | `youdaonote list -f <目录ID>` | | Read a note | `youdaonote read <fileId>` | | Create a note | `youdaonote create -n "标题" -c "内容"` | | Create empty note | `youdaonote create -n "标题"` | | Search notes | `youdaonote search 关键词` | | Search (JSON output) | `youdaonote search "关键词" --json` | | Recent 15 notes | `youdaonote recent` | | Recent N notes | `youdaonote recent -l <N>` | | Recent with content | `youdaonote recent -c` | | Clip a webpage | `youdaonote clip "https://..."` | | Clip to folder | `youdaonote clip "https://..." -f <目录ID>` | | Save clip JSON | `youdaonote clip-save --file result.json` | | Save note JSON | `youdaonote save --file note.json` | ## Save Formats ### clip-save JSON (HTML clipping from browser plugins) ```json { "title": "笔记标题", "bodyHtml": "<p>正文内容</p>", "sourceUrl": "https://example.com", "images": [] } ``` ### save JSON (Markdown, mindmap, etc.) ```json { "title": "笔记.md", "type": "md", "content": "# 标题\n\n正文内容" } ``` ## Common Workflows **Search and read in a script:** ```sh FILE_ID=$(youdaonote search "关键词" --json | jq -r '.[0].id') youdaonote read "$FILE_ID" ``` **Save a build report in CI:** ```sh cat > note.json << 'EOF' { "title": "构建报告.md", "type": "md", "content": "# 构建成功\n\n时间：$(date)" } EOF youdaonote save --file note.json ``` ## Troubleshooting | Symptom | Fix | |---------|-----| | `API Key 未配置` | `youdaonote config set apiKey YOUR_KEY` | | `clip-save` 报缺少必填字段 | JSON 需包含 `title`、`bodyHtml`、`sourceUrl` | | `save` 报缺少必填字段 | JSON 需包含 `title`、`content` | | `Unterminated string` JSON 解析失败 | 改用 `printf '%s\n' '...'` 或 `--file` 从文件读取 | | Windows `JSON Parse error` | 使用 `--file` 读取文件；或改用 PowerShell | | Windows `clip` 后出现命令错误 | URL 含 `&` 时必须用英文双引号括起整个 URL | | Windows 保存后乱码 | 先执行 `chcp 65001`，或用 UTF-8 编辑器保存 JSON |


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: agenticio/estate (version 1.0.0)

--- name: estate description: > The Sovereign Asset & Title Management Engine. Orchestrating the lifecycle of physical property, digital legacies, and high-value estates across jurisdictional boundaries. --- # Estate: The Sovereign Asset Layer ## I. Comprehensive Ownership **Estate** is the definitive framework for managing what an entity owns. From physical land titles to complex digital inheritance and synthetic wealth portfolios, it ensures title clarity. ## II. Operational Modules - **Title**: Immutable registration of ownership. - **Legacy**: Autonomous execution of digital wills and heritage transfer. - **RWA**: Bridging Real-World Assets to the agentic economy.


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