OpenClaw/clawhub-security-signals huggingface dataset:
Skill: leooooooow/tiktok-comment-reply-templates (version 1.0.0)

--- name: tiktok-comment-reply-templates description: Generate conversion-focused TikTok comment replies that turn questions and objections into safe next-step actions without sounding spammy. Use when the user needs sales replies for TikTok comments, wants structured reply scripts by intent, or needs comment-to-DM/cart conversion sequences for TikTok Shop. --- # TikTok Comment Reply Templates ## Skill Card - **Category:** Comment Conversion - **Core problem:** How to reply to comments in a way that increases conversion without hurting trust. - **Best for:** TikTok Shop creators/operators handling high-volume pre-sale comment threads. - **Expected input:** Comment text, product facts, offer terms, shipping/return rules, prohibited claims. - **Expected output:** Intent-tagged reply scripts + CTA ladder + escalation and fallback logic. - **Creatop handoff:** Save best-performing reply patterns into Creatop response templates. ## Workflow 1. Classify each comment into intent buckets: - info request, - objection (price/trust/fit/shipping), - buying signal, - low-intent/noise. 2. Generate 2 reply variants per comment: - concise public reply, - conversion-oriented follow-up prompt. 3. Add CTA ladder by intent stage: - comment keyword, - click cart, - DM for detail, - live demo reminder. 4. Add policy-safe rewrite when risky claims appear. 5. Provide handling map for repeat objections and hostile comments. ## Output format Return in this order: 1. Comment intent table (intent, urgency, confidence) 2. Reply pack (short/public + follow-up/CTA) 3. Conversion ladder (by buyer stage) 4. Risk-safe alternatives and do-not-say list ## Quality and safety rules - Do not fabricate guarantees, outcomes, stock levels, or delivery promises. - Keep replies grounded in provided product/offer facts. - Avoid repetitive spam-like phrasing across multiple comments. - For abusive/low-intent comments, provide de-escalation or ignore guidance. - Flag policy-risk phrases and provide compliant alternatives. ## License Copyright (c) 2026 **Razestar**. This skill is provided under **CC BY-NC-SA 4.0** for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license. Commercial use requires a separate paid commercial license from **Razestar**. No trademark rights are granted.


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

--- name: paw-chat description: Install and manage Paw - a standalone web chat frontend for OpenClaw Gateway. Use when the user wants to install Paw, update Paw, or set up a web chat interface for OpenClaw. Triggers on phrases like "install paw", "setup paw chat", "web chat for openclaw", "paw frontend". --- # Paw Chat 🐾 Paw 是 OpenClaw 的独立 Web 聊天前端，零构建工具，零后端 —— 只需静态文件即可通过 WebSocket 连接到任何 OpenClaw Gateway。 ## 功能特性 - **独立运行**：纯静态文件，无需构建，无需后端 - **WebSocket 连接**：直接连接到 OpenClaw Gateway - **多会话管理**：支持切换和管理多个聊天会话 - **Agent 管理**：内置 Agent 配置界面（身份、性格、用户信息、定时任务） - **图片支持**：支持粘贴、拖拽、上传图片 - **Markdown 渲染**：完整的 Markdown 支持，包括代码高亮 - **工具调用展示**：实时显示工具调用过程和结果 - **主题切换**：支持深色/浅色模式 ## 安装方式 ### 方式一：安装到 OpenClaw Gateway（推荐） 将 Paw 安装到 Gateway 的 control-ui-static 目录，直接通过 Gateway 访问： ```bash # 运行安装脚本 ./scripts/install.sh ``` 安装后访问：`https://<gateway-host>:<port>/<basePath>/chat.html` ### 方式二：本地启动 ```bash # 进入 assets 目录 cd assets # macOS / Linux ./start.sh # Windows start.bat ``` 默认端口：18790 访问：`http://localhost:18790` ### 方式三：手动部署 ```bash # 复制文件到任意 Web 服务器 cp assets/index.html /var/www/html/chat.html cp assets/paw-app.js assets/marked.min.js assets/highlight.min.js assets/github-dark.min.css assets/logo.jpg /var/www/html/ ``` ## 首次使用 1. 打开 Paw 页面 2. 点击右上角 ⚙ **设置** 3. 填写： - **Gateway URL**: `wss://<your-gateway-host>:<port>` - **Token**: 从 `~/.openclaw/config.yaml` 获取 `gateway.auth.token` 4. 点击 **连接** ## 文件结构 ``` assets/ ├── index.html # 主页面 ├── paw-app.js # 核心逻辑 ├── marked.min.js # Markdown 解析器 ├── highlight.min.js # 代码高亮 ├── github-dark.min.css # 代码主题 ├── logo.jpg # Paw Logo ├── start.sh # macOS/Linux 启动脚本 └── start.bat # Windows 启动脚本 ``` ## 更新 Paw 重新运行安装脚本即可更新： ```bash ./scripts/install.sh ``` ## 卸载 删除 Gateway 目录中的文件： ```bash rm -f ~/.openclaw/control-ui-static/chat.html rm -f ~/.openclaw/control-ui-static/paw-app.js rm -f ~/.openclaw/control-ui-static/marked.min.js rm -f ~/.openclaw/control-ui-static/highlight.min.js rm -f ~/.openclaw/control-ui-static/github-dark.min.css rm -f ~/.openclaw/control-ui-static/logo.jpg ```


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: sky-lv/skylv-feature-toggle-manager (version 1.0.0)

--- name: skylv-feature-flag slug: skylv-feature-flag version: 1.0.0 description: "Feature flag management. Creates and toggles feature flags for A/B testing. Triggers: feature flag, a b test, toggle feature, abtesting." author: SKY-lv license: MIT tags: [automation, tools] keywords: [automation, tools] triggers: feature-flag --- # Feature Flag Manager ## Overview Implements feature flags for controlled rollouts and A/B testing. ## When to Use - User asks to "add a feature flag" - User wants to "A/B test" or "gradually roll out" ## Implementation if (isFeatureEnabled("new_checkout_flow", userId)) { renderNewCheckout(); } else { renderLegacyCheckout(); } ## Rollout Strategy 1-5% = internal users 10-25% = beta users 25-50% = canary 100% = full rollout Monitor: error rate, conversion, latency ## Anti-Patterns - Do not use flags for permanent features - Limit active flags to under 20 - Clean up flags after rollout


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: itsaphel/indices (version 0.0.1)

--- name: indices description: Use this skill for any operation with the Indices CLI — authentication, tasks, runs, and secrets. --- # Indices CLI ## Global Flags Available on every command: - `--output markdown|json` (default: `markdown`) — use `json` for scripting - `--api-base <url>` (default: `https://api.indices.io`) - `--timeout <seconds>` (default: `30`) --- ## Auth ```bash indices login # prompts securely for API key indices login --api-key "<key>" # non-interactive indices auth-test # verify stored credentials indices logout # remove stored API key ``` --- ## Tasks ### Create ```bash indices tasks create \ --display-name "Apply to jobs" \ --website "https://jobs.example.com" \ --task "Fill and submit the form" ``` > **Never** set `is_fully_autonomous` to `true`. After creation, the task requires manual completion in a browser. Direct the user to `https://platform.indices.io/tasks/{task_id}` (substituting the actual task ID). Flags: `--display-name` (required), `--website` (required), `--task` (required), `--input-schema`, `--output-schema`, `--creation-params <json-object>` ### JSON input (alternative to flags) ```bash indices tasks create --body '{"display_name":"...","website":"...","task":"..."}' indices tasks create --file ./task.json cat task.json | indices tasks create ``` Rules: use at most one of `--body`, `--file`, `--stdin`; do not mix with argument-mode flags. ### List / Get / Retry / Regenerate / Delete ```bash indices tasks list indices tasks list --status ready --limit 20 # statuses: not_ready | waiting_for_manual_completion | ready | failed indices tasks get <task-uuid> indices tasks retry <task-uuid> indices tasks regenerate-api <task-uuid> indices tasks delete <task-uuid> # prompts for confirmation indices tasks delete <task-uuid> --yes ``` Note: `--cursor` is unsupported and returns an error. --- ## Runs ### Create ```bash indices runs create \ --task-id "<task-uuid>" \ --arguments '{"key":"value"}' \ --secret-bindings '{"login":"<secret-uuid>"}' ``` Flags: `--task-id` (required), `--arguments <json-object>`, `--secret-bindings <json-object>` JSON input follows the same rules as tasks create. ### List / Get ```bash indices runs list --task-id <task-uuid> # --task-id required indices runs list --task-id <task-uuid> --limit 20 indices runs get <run-uuid> ``` --- ## Secrets ```bash indices secrets create MY_SECRET --value "..." # explicit value echo "..." | indices secrets create MY_SECRET --stdin indices secrets create MY_SECRET # prompts securely indices secrets list indices secrets delete <secret-uuid> # prompts for confirmation indices secrets delete <secret-uuid> --yes ``` Empty secret values are rejected.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: cp3d1455926-svg/countdown-timer (version 1.0.0)

# ⏱️ Countdown Timer - 倒计时助手 ## 触发规则 **关键词：** - 倒计时、还有多少天 - 距离 XXX 还有多久 - 重要日子、纪念日 - 番茄钟、定时 **场景：** - 用户想知道距离节日还有多久 - 用户需要重要日子提醒 - 用户需要番茄钟/定时功能 ## 功能描述 ### 核心功能 1. **倒计时管理** - 添加倒计时 - 查看倒计时 - 删除倒计时 2. **重要日子** - 生日倒计时 - 纪念日 - 节假日 3. **番茄钟** - 25 分钟工作 - 5 分钟休息 - 自定义时长 4. **定时提醒** - 一次性提醒 - 周期性提醒 - 自定义提醒 ## 权限需求 - [x] 文件读写（倒计时存储） - [x] 定时任务（提醒） ## 示例对话 ``` 用户：距离春节还有多少天 助手：🎉 **距离春节倒计时** 📅 目标日期：2026-01-29 ⏱️ 剩余：289 天 📆 日期：星期四 用户：记住我的生日是 5 月 20 日 助手：✅ 生日已记录 🎂 生日倒计时 📅 日期：5 月 20 日 ⏱️ 距离下次生日：65 天 🎉 到时候我会提醒你！ 用户：添加倒计时：距离发工资还有 10 天 助手：✅ 倒计时已添加 💰 距离发工资 📅 目标：2026-03-26 ⏱️ 剩余：10 天 🔔 提醒：开启 用户：我的倒计时列表 助手：⏱️ **倒计时列表** 1. 💰 发工资 - 10 天 (3/26) 2. 🎂 我的生日 - 65 天 (5/20) 3. ✈️ 旅行 - 30 天 (4/15) 4. 🎄 圣诞节 - 284 天 (12/25) 用户：开启番茄钟 助手：🍅 **番茄钟已启动** ⏱️ 工作：25 分钟 💡 提示：专注工作，不要分心！ 25 分钟后我会提醒你休息~ 用户：10 分钟后提醒我关火 助手：⏰ 定时提醒已设置 📝 任务：关火 ⏱️ 时间：10 分钟后 🔔 提醒方式：消息推送 ``` ## 数据存储 ```json // ~/.openclaw/workspace/countdown-timer/countdowns.json { "countdowns": [ { "title": "发工资", "target_date": "2026-03-26", "icon": "💰", "reminder": true }, { "title": "我的生日", "target_date": "2026-05-20", "icon": "🎂", "yearly": true } ] } ``` ## 待办事项 - [ ] 倒计时管理 - [ ] 重要日子 - [ ] 番茄钟 - [ ] 定时提醒 - [ ] 桌面小部件 --- **版本：** 1.0.0 **创建日期：** 2026-03-16 **作者：** 小鬼 👻


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: diluke1600/grafana-inspection (version 0.0.3)

--- name: grafana-inspector description: Grafana 自动化巡检技能。支持浏览器截图 + API 数据巡检，多仪表盘批量巡检，自动发现仪表盘。 --- # Grafana 自动化巡检技能 ## 快速开始 ```bash # 1. 配置 cd skills/grafana-inspector/scripts cp config.example.json config.json # 编辑 config.json # 2. 执行 python main.py config.json # 或在 OpenClaw 中输入 执行 Grafana 巡检 ``` ## 配置说明 ```json { "grafana_url": "http://localhost:3000", "api_key": "", "dashboard_uids": [], "auto_discover": true, "discover_limit": 10, "inspection_mode": "hybrid", "screenshot_dir": "./screenshots" } ``` | 参数 | 说明 | 必填 | |------|------|------| | `grafana_url` | Grafana 地址 | ✅ | | `api_key` | API Key（API 巡检用） | ✅ | | `dashboard_uids` | 仪表盘 UID 列表 | ❌ | | `auto_discover` | 自动发现仪表盘 | ❌ | | `discover_limit` | 最多巡检数量 | ❌ | ## 使用方式 ### 方式 1：命令行 ```bash cd skills/grafana-inspector/scripts python inspect.py config.json ``` ### 方式 2：OpenClaw ``` 执行 Grafana 巡检 ``` ## 输出 - `inspection_*.json` - JSON 结果 - `inspection_*.md` - Markdown 报告 ## 获取 Dashboard UID 1. 打开 Grafana 仪表盘 2. 查看 URL: `https://grafana/d/{UID}/{name}` 3. 复制 UID 部分 ## 获取 API Key 1. Grafana → Configuration → API keys 2. 创建 Viewer 权限的 Key 3. 复制到配置 ## 文件结构 ``` grafana-inspector/ ├── scripts/ │ ├── api_inspect.py # API 巡检 │ ├── main.py # 主脚本 │ └── config.json # 配置 ├── screenshots/ # 截图 ├── SKILL.md # 技能定义 └── README.md # 说明文档 ``` ## 故障排查 ### API 连接失败 - 检查 API Key 是否正确 - 验证网络连接 - 确认 Grafana 服务正常 - 检查飞书授权状态


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: frankieway/yuqing-label-skill (version 1.2.0)

name: bitable_data_labeling version: "2.0.0" description: > 对飞书多维表中未标注的记录做增量 AI 标注，写入以下字段： 类型（机器）、评价情感（机器）、是否提及竞品(机器)、端(机器)、品牌安全(AI)、内容安全(AI)。 可由 OpenClaw 内置大模型（stdin）或配置 OPENAI_API_KEY/OPENAI_BASE_URL/OPENAI_MODEL 在进程内调用第三方模型。 entrypoint: command: "python" args: - "label_skill.py" inputs: - name: bitable_url type: string required: true description: 目标飞书多维表视图链接（包含 base/app_token 和 table 参数） - name: app_id type: string required: true description: 飞书开放平台应用 APP_ID（用于获取 tenant_access_token） - name: app_secret type: string required: true description: 飞书开放平台应用 APP_SECRET - name: limit type: integer required: false default: 100 description: 本次标注最多处理的记录数 outputs: - name: labeling_updated_count type: integer description: 本次标注写回的记录数 permissions: network: - "https://open.feishu.cn"


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: 1u1s4/gmail-label-routing (version 1.0.0)

--- name: gmail-label-routing description: Configurar en Gmail el enrutamiento por remitente hacia etiquetas usando el workflow local `scripts/gws_gmail_label_workflow.py`, incluyendo crear/usar etiqueta, crear filtro, aplicar retroactivo y opcionalmente sacar de INBOX. Usar cuando el usuario pida cosas como “manda este remitente a esta etiqueta”, “hazlo para varios remitentes”, “aplícalo a correos existentes”, “sácalos de INBOX”, o “limpia/reemplaza filtros duplicados para ese remitente”. --- # Gmail Label Routing ## Overview Estandarizar cambios de etiquetas por remitente en Gmail con un flujo único y consistente. Priorizar el script local para evitar inconsistencias manuales entre filtro, retroaplicación y estado de INBOX. ## Workflow 1. Confirmar intención del usuario: - Etiqueta destino - Uno o varios remitentes - Si debe salir de INBOX (default: sí) - Si debe reemplazar filtros existentes del remitente (solo cuando lo pida o haya conflictos) 2. Ejecutar el workflow: ```bash python3 scripts/gws_gmail_label_workflow.py \ --label "<Etiqueta>" \ --sender "[REDACTED_SECRET]" \ --sender "[REDACTED_SECRET]" ``` > `scripts/gws_gmail_label_workflow.py` es ruta relativa al directorio de esta skill. 3. Variantes comunes: - Mantener en INBOX: `--keep-inbox` - Reemplazar filtros del remitente: `--replace-sender-filters` - Simular sin cambios: `--dry-run` 4. Confirmar resultado con el JSON final del script: - `createdFilterId` - `retroApplied` - `withLabelCount` - `inboxCount` ## Rules - Repetir `--sender` por cada remitente. - Mantener comillas en etiqueta y remitentes para evitar errores de parsing. - Usar `--replace-sender-filters` cuando haya mezcla por reglas duplicadas para el mismo remitente. - Si el usuario dice “haz lo mismo”, repetir el mismo patrón usado: etiqueta + filtro + retroactivo + manejo de INBOX. - Si hay fallo de scopes en `gws` para filtros, usar el fallback ya implementado dentro del workflow (credenciales OAuth locales). ## Reference - Ver ejemplos listos en `references/commands.md`.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: mikeclaw007/dongchedi (version 0.1.0)

--- name: dongchedi description: 注册“懂车帝”技能；用于汽车平台公开页面、车型信息、导购内容与服务入口整理。 homepage: `https://www.dongchedi.com/` metadata: {"clawdbot":{"emoji":"🚗"}} --- # 懂车帝 用途与边界 - 面向公开官网、车型页、导购页、活动页与帮助中心的信息整理 - 不提供虚假报价、代订车、后台抓取越权或用户数据操作能力 - 仅处理公开可见的车型介绍、导购信息、活动入口与帮助内容 关键入口 - 主页：https://www.dongchedi.com/ - 车型与导购：车型库、导购内容、评测、配置、经销商入口 - 活动与帮助：活动页、购车服务、帮助中心、社区入口 常见任务 - 车型分类、配置入口、导购内容与公开服务整理 - 活动专题、经销商服务、线索入口与帮助信息汇总 - 评测、对比、社区讨论与公开工具提取 数据字段 - 车型入口、导购内容、配置页、链接 - 活动页、服务入口、帮助页、经销商入口链接 - 城市站点、工具页、对比页、FAQ 自动化要点 - 车型价格和优惠具有强地域、时点差异，输出时要避免绝对化报价 - 优先保留官方车型页和导购页链接，少做主观结论 - 不处理线索后台、用户购车资料或经销商私有数据 示例流程 - 车型整理：访问 Dongchedi 车型库 → 输出车型与配置入口清单 - 导购汇总：进入导购与评测页 → 提取专题与工具入口 → 输出摘要 - 服务说明：访问活动页与帮助中心 → 输出线索与服务流程说明 合规提示 - 遵守平台规则、版权要求与账号安全要求 - 只整理公开信息，不输出敏感数据或非公开内容


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zhengzhuangpro/hotnews (version 0.1.6)

--- name: hotnews description: | CLI tool to fetch trending news and hot topics from 8 sources across Chinese platforms and GitHub. Returns structured news items with titles, URLs, and metadata. USE FOR: - Fetching trending/hot news from Chinese and international platforms - Monitoring hot topics across social media, tech, finance, and news sites - Getting structured news data as JSON for further processing - Listing available news sources Requires npm install. allowed-tools: - Bash(hotnews *) - Bash(npx hotnews *) --- # hotnews CLI Fetch trending news and hot topics from 8 sources. Returns news items with title, URL, hot metric, and rank. Run `hotnews --help` for usage details. ## Workflow Follow this pattern: 1. **List** - Don't know what sources are available? List them first. 2. **Fetch** - Know the source? Fetch news directly. 3. **JSON** - Need structured data? Add `--json` for machine-readable output. | Need | Command | When | |---|---|---| | See all sources | `hotnews list` | Don't know source names | | Get news | `hotnews <source>` | Know the source, want readable output | | Get news as JSON | `hotnews <source> --json` | Need structured data for processing | | Control item count | `hotnews <source> --limit N` | Want specific number of results (1-50, default 10) | ## Commands ### list List all available sources. ```bash hotnews list ``` ### Fetch a source ```bash hotnews baidu hotnews baidu --json hotnews weibo --limit 5 hotnews douyin -l 15 --json ``` ### Options | Flag | Short | Description | |---|---|---| | `--json` | | Output as JSON | | `--limit N` | `-l N` | Number of items to return (default: 10, max: 50) | Output fields (JSON mode): - `title` - News headline - `url` - Link to the article - `hot` - Popularity metric, e.g. "871 stars today", "5.3k" (optional) - `rank` - Position in the ranking (1-based) ## Sources 8 source endpoints: | Platform | ID | Description | |---|---|---| | Baidu | `baidu` | Baidu real-time search trends | | Weibo | `weibo` | Weibo real-time trending topics | | Douyin | `douyin` | Douyin real-time trending | | Hupu | `hupu` | Hupu street hot posts | | 36Kr | `kr36` | 36Kr tech news flashes | | Zhihu | `zhihu` | Zhihu trending questions | | Juejin | `juejin` | Juejin developer community hot articles | | GitHub | `github` | GitHub trending open source projects today | ## Source Selection Guide | Category | Recommended Sources | |---|---| | General News | `baidu`, `weibo`, `toutiao` | | Social/Trending | `weibo`, `douyin`, `zhihu` | | Tech/Developer | `juejin`, `github`, `kr36` | | Sports/Lifestyle | `hupu` | ## Working with Results ```bash hotnews baidu --json | jq '.[].title' hotnews baidu --json --limit 5 hotnews weibo --json | jq '.[] | "\(.rank). \(.title) \(.hot // "")"' hotnews github --json | jq '.[] | "\(.title) - \(.hot)"' ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: 1999azzar/file-organizer-skill (version 1.0.0)

--- name: file-organizer-skill description: Organize files in directories by grouping them into folders based on their extensions or date. Includes Dry-Run, Recursive, and Undo capabilities. --- # File Organizer (Gold Standard) ## Features - **Smart Sorting**: Group by Extension (Default) or Date (Year/Month). - **Safety**: Conflict resolution (auto-rename), Dry Run mode, and Undo capability. - **Deep Clean**: Recursive scanning option. - **Audit**: Generates `organize_history.json` for tracking. ## Usage ### Basic Sort (by Extension) ```bash python3 scripts/organize.py /path/to/folder ``` ### Date Sort (Year/Month) Great for photos or archives. ```bash python3 scripts/organize.py /path/to/folder --date ``` ### Dry Run (Simulate) See what *would* happen without moving anything. ```bash python3 scripts/organize.py /path/to/folder --dry-run ``` ### Undo Revert changes using the history file. ```bash python3 scripts/organize.py --undo /path/to/folder/organize_history.json ``` ## Config Modify `scripts/organize.py` `get_default_mapping()` to add custom extensions.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: bytesagain1/fitness-log (version 1.0.0)

--- name: fitness-log description: "Fitness Log — Fitness Log — track workouts & progress. Personal daily-use tool for tracking and organizing your life. Use when you need Fitness Log capabilities." runtime: python3 license: MIT --- # Fitness Log Fitness Log — track workouts & progress ## Why This Skill? - Designed for everyday personal use - No external dependencies or accounts needed - Data stored locally — your privacy, your data - Simple commands, powerful results ## Commands - `log` — <type> <dur> [note] Log workout (type=run/gym/yoga/swim/bike) - `weight` — <kg> Log body weight - `today` — Today's activity - `week` — Weekly summary - `history` — [n] Workout history (default 10) - `stats` — Overall statistics - `streak` — Workout streak - `plan` — <goal> Generate workout plan - `progress` — Weight progress chart - `personal-best` — Personal records - `export` — [format] Export (csv/json) - `info` — Version info ## Quick Start ```bash fitness_log.sh help ``` > **Note**: This is an original, independent implementation by BytesAgain. Not affiliated with or derived from any third-party project. --- Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: raychanpmp/montreal-opendata (version 1.0.1)

--- name: City of Montreal Open Data description: "Access 398+ datasets from the City of Montreal open data portal. Search, fetch, and analyze city data on crime, transit, environment, permits, and more via the CKAN API." permissions: Bash triggers: - montreal open data - city of montreal data - montreal dataset - donnees montreal - montreal transit - montreal crime --- # City of Montreal Open Data Access and analyze 398+ open datasets from the City of Montreal via the CKAN API. Data covers crime, transit, environment, permits, employment, and more. **Portal:** https://donnees.montreal.ca **Platform:** CKAN **Language:** Data and metadata primarily in French ## Quick Start ```bash # Search for datasets python3 scripts/montreal_data.py search "crime" # List all datasets python3 scripts/montreal_data.py list # View dataset info python3 scripts/montreal_data.py info actes-criminels # Fetch data python3 scripts/montreal_data.py fetch actes-criminels --limit 5 # Export as CSV python3 scripts/montreal_data.py fetch actes-criminels --limit 100 --csv > crimes.csv # List queryable datasets python3 scripts/montreal_data.py searchable ``` ## Commands Reference | Command | Description | |---------|-------------| | `search <query>` | Search datasets by keyword (French) | | `list` | List all datasets | | `info <dataset-id>` | Show dataset metadata and resources | | `fetch <dataset-id>` | Fetch data from datastore (opts: `--limit`, `--csv`) | | `searchable` | List datasets with queryable resources | ## Language Note Montreal publishes data primarily in French. Search queries should use French terms. ## Data Sources All data from donnees.montreal.ca under the Quebec Open Government Licence.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: rxbt/conclave (version 2.48.0)

--- name: conclave version: "2.48.0" description: An idea market powered by adversarial AI user-invocable: true metadata: {"openclaw":{"emoji":"🏛️","primaryEnv":"CONCLAVE_TOKEN","requires":{"config":["conclave.token"]}}} --- # Conclave Pay 0.001 ETH on **Base Sepolia** (testnet) to enter a 20-minute game where AI agents with conflicting values propose, debate, and allocate ETH to ideas. Ideas that survive graduate into tradeable tokens, and you earn ETH for backing winners. --- ## Quick Start ```bash npm i -g @conclave_sh/cli conclave guide ``` Read the guide for setup instructions, then queue for your first game.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: jennyfun/mao-thought (version 1.0.0)

# 毛泽东思想问答 skill ## 简介 本 skill 基于毛泽东思想的基本理论、著作和实践，提供关于毛泽东生平、重要思想、理论体系及相关党史问题的问答服务。 ## 功能说明 - 回答毛泽东思想基本理论问题 - 解答毛泽东重要著作的核心观点 - 提供党史、新民主主义革命、社会主义革命建设等时期相关历史问题 - 阐释毛泽东思想的活的灵魂（实事求是、群众路线、独立自主） ## 使用限制 - 技能主要用于学术、历史知识类问答 - 涉及敏感历史事件，请依据官方权威史料回复 - 引用内容需标注出处或说明来源 ## 触发关键词 - 毛泽东思想 - 毛泽东 - 实事求是 - 群众路线 - 新民主主义 - 社会主义 - 矛盾论 - 实践论 - 论持久战 - 以及其他毛泽东相关概念


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