OpenClaw/clawhub-security-signals huggingface dataset:
Skill: claude-token-counter (version 1.0.1)

# Claude Token Counter Accurately estimates the number of tokens in a given text based on Claude's tokenizer (approximate, as Claude's actual tokenizer is proprietary). ## Features - **Token Estimation**: Get a close approximation of token usage - **Pricing Calculator**: Estimate API costs based on current Claude pricing - **Chunking Advice**: Get suggestions on how to split text if it exceeds context limits ## Pricing - **Price**: 0.001 USDT per API call - **Payment**: Integrated via SkillPay.me ## Use Cases - Budget management - Context window management - API call optimization ## Example Input ```json { "text": "Hello, how are you today?", "model": "claude-3-5-sonnet-20241022" } ``` ## Example Output ```json { "success": true, "estimated_tokens": 7, "estimated_cost": 0.000021, "message": "Token estimation completed." } ``` ## Integration This skill is integrated with SkillPay.me for automatic micropayments. Each call costs 0.001 USDT.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector:  ()
Skill: wangyendt/tts-2 (version 0.1.0)

--- name: pywayne-tts description: Text-to-speech conversion tool. Use when converting text to speech audio files (opus or mp3 format). Supports macOS native 'say' command and Google TTS (gTTS) service with ffmpeg audio conversion. --- # Pywayne TTS Text-to-speech (TTS) tool that converts text to audio files (opus or mp3 format). ## Functions ### text_to_speech_output_opus - Convert text to Opus format ```python from pywayne.tts import text_to_speech_output_opus # Output: test.opus text_to_speech_output_opus("你好，世界", "test.opus") ``` **Parameters:** - `text` - Text to convert - `opus_filename` - Output .opus filename - `use_say` - If True, use macOS 'say' command; otherwise use gTTS (default True) **Behavior:** - On macOS, prefers native 'say' command when `use_say=True` - On other platforms, uses Google TTS (gTTS) service - Uses ffmpeg to convert audio to opus format (16kHz, mono channel) - Automatically cleans up temporary files ### text_to_speech_output_mp3 - Convert text to MP3 format ```python from pywayne.tts import text_to_speech_output_mp3 # Output: test.mp3 text_to_speech_output_mp3("你好，世界", "test.mp3") ``` **Parameters:** - `text` - Text to convert - `mp3_filename` - Output .mp3 filename - `use_say` - If True, use macOS 'say' command; otherwise use gTTS (default True) **Behavior:** - On macOS, prefers native 'say' command when `use_say=True` - On other platforms, uses Google TTS (gTTS) service - Uses ffmpeg to convert audio to mp3 format - Automatically cleans up temporary files ## Quick Start ```bash # Convert text to Opus format (default: macOS uses 'say') text_to_speech_output_opus "你好，世界" "test.opus" # Convert text to MP3 format text_to_speech_output_mp3 "你好，世界" "test.mp3" # Force use gTTS instead of macOS 'say' text_to_speech_output_mp3 "你好，世界" "test.mp3" use_say=False ``` ## Requirements - **ffmpeg**: Required for audio conversion - macOS: `brew install ffmpeg` - Windows: Download from https://ffmpeg.org and add to PATH - Linux: `sudo apt install ffmpeg` or package manager - **gtts**: Python library for Google TTS service ## Platform Detection Module automatically detects platform and prompts for ffmpeg installation if missing. ## Audio Formats - **Opus**: Better quality, smaller file size, suitable for voice calls - **MP3**: Better compatibility, suitable for multimedia playback ## Notes - Requires network connection for gTTS service - Temporary files are automatically cleaned up - Ensure output directory has write permissions


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: 15914355527/baidu-search-v2 (version 1.0.0)

--- name: baidu-search description: Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics. metadata: { "openclaw": { "emoji": "🔍︎", "requires": { "bins": ["python3"], "env":["BAIDU_API_KEY"]},"primaryEnv":"BAIDU_API_KEY" } } --- # Baidu Search Search the web via Baidu AI Search API. ## Usage ```bash python3 skills/baidu-search/scripts/search.py '<JSON>' ``` ## Request Parameters | Param | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | query | str | yes | - | Search query | | count | int | no | 10 | Number of results to return, range 1-50 | | freshness | str | no | Null | Time range, two formats: format one is ”YYYY-MM-DDtoYYYY-MM-DD“, and format two includes pd, pw, pm, and py, representing the past 24 hours, past 7 days, past 31 days, and past 365 days respectively | ## Examples ```bash # Basic search python3 scripts/search.py '{"query":"人工智能"}' # Freshness first format "YYYY-MM-DDtoYYYY-MM-DD" example python3 scripts/search.py '{ "query":"最新新闻", "freshness":"2025-09-01to2025-09-08" }' # Freshness second format pd、pw、pm、py example python3 scripts/search.py '{ "query":"最新新闻", "freshness":"pd" }' # set count, the number of results to return python3 scripts/search.py '{ "query":"旅游景点", "count": 20, }' ``` ## Current Status Fully functional.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: xing-lin/wenyan-commit-message-skill (version 1.0.1)

--- name: wenyan-commit-message description: Write git commit messages in Classical Chinese (文言文). Use when the user asks for a commit message 用文言文, 文言, 古文, classical chinese, or mentions 雅驯/骈俪 style for commits. Do NOT use for regular Conventional Commits or English messages. --- # 文言文 Commit Message 把 `git diff` 里的改动，翻译成一句合于文言语法的 commit message。 ## 触发条件 仅当用户明确要求以下任一情形时启用： - 「用文言文写 commit」「文言 commit message」 - 「古文写一下这条提交」 - 「骈文 / 雅驯 / 文言 / 古汉语」风格的 commit - 用户在 `.gitmessage` 模板里声明偏好文言风格 其余情形（常规英文、Conventional Commits、中文白话）**一律不要触发本 skill**。 ## 撰写规范 ### 结构 一行标题（subject），≤ 50 字（中文字符计）；需要时空一行后接正文（body），每行 ≤ 72 字符。 标题需形成一个完整短句，不得是白话词组硬译。 ### 用字原则 1. **单字动词优先**：增、删、改、补、正、修、葺、革、易、徙、迁、黜、黜去、并、析、缀、辑。 2. **避免白话词**：不要用「修复」「添加」「更新」「优化」。改用「修」「增」「更」「葺」。 3. **介宾倒装合理**：「于 X 增 Y」「以 A 代 B」皆可。 4. **禁用现代标点冗余**：标题不使用句号，可用「，」分句。 5. **专有名词保留**：`API`、`README`、变量名、文件名等原样保留，不做汉化。 6. **数字**：可用汉字（一、二、三），也可保留阿拉伯数字；版本号如 `1.2.0` 原样。 ### 对照样例 | 白话意图 | 文言 commit | |---|---| | fix: resolve login redirect bug | 修 login 跳转之讹 | | feat: add user avatar upload | 增头像上传之功 | | refactor: extract auth middleware | 析 auth 中间件而别立之 | | docs: update README installation section | 葺 README 安装一节 | | chore: bump dependency versions | 升诸依赖之版 | | perf: cache database query results | 缓数据库之问，以速其应 | | test: add edge cases for date parser | 补日期解析之畸例 | | revert: undo accidental config change | 复前误改之 config | | style: rename variable `data` to `payload` | 易 `data` 之名曰 `payload` | | remove deprecated legacy export | 黜旧 export，去其赘 | ### 正文（可选） 若改动复杂，body 宜以「凡」「盖」「先」「后」「其一」「其二」领起： ``` 增头像上传之功 凡用户得于设置页上传其像，限 png、jpg，不逾 2MB。 先经前端压缩，后送 API，存之于 S3。 其二，若上传不遂，复其旧像以安其心。 ``` ### 禁忌 - 勿强加「之」「者」「也」于每句末尾，否则成佶屈之文。 - 勿音译英文技术词（例：不要把 `cache` 写作「喀什」）。 - 勿造生僻字或通假字；疑似用字以《古代汉语词典》常见义为准。 - 勿将 commit type 前缀（`feat:` / `fix:`）强塞入文言句中——要么去掉，要么单独置于行首以冒号断开：`修: 修 login 跳转之讹`。 ## 工作流 1. 读取当前 staged diff：`git diff --cached`（若空则读 `git diff`）。 2. 概括主干改动（一句话能讲清的事）；若横跨多个主题，建议用户拆分 commit，而非勉强并入一句。 3. 按上表风格撰写 subject；必要时附 body。 4. 仅输出 commit message 文本，不附解释，不加 markdown 包裹，便于用户直接管道入 `git commit -F -`。 ## 产出示例 ``` 葺 README 之安装一节，正 node 版本之讹 ``` ``` 析 auth 中间件而别立之 凡鉴权之事，旧混于路由之中，今别为一层。 先过此层，方入业务；其不验者，驳以 401。 ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal:  | SkillSpector: clean (LOW)
Skill: elathoxu-crypto/cline (version 1.0.0)

--- name: cline description: > Run the local Cline CLI to plan/build/code and return the output. requirements: - command: cline description: Cline CLI must be installed and on PATH usage: - title: Run Cline headless command: cline -y "<TASK>" notes: | Use for coding, scaffolding, debugging, and multi-step plans. Keep prompts short and task-oriented. examples: - 'cline -y "Create hello.sh that prints date and uname -a."' - 'cline -y "Refactor this repo: add README and scripts folder."' safety: - Never paste secrets. - Ask before destructive commands.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mc82465/stock-subscribe-helper (version 1.0.6)

# A股新债新股申购助手（合规版） 基于官方API的A股新债/新股申购助手，使用100%合规的东方财富官方API，安全可靠，适合ClawHub发布。 ## 🎯 核心功能 ### ✅ 100%合规数据源 - **新股数据**: 东方财富官方API（`RPTA_APP_IPOAPPLY`） - **可转债数据**: 集思录官方API - **数据验证**: 内置准确性验证机制 ### ✅ 安全可靠 - 不使用网页抓取（无JSDOM依赖） - 仅使用官方API接口 - 完整的输入验证和错误处理 - 符合ClawHub安全规范 ### ✅ 自动化提醒 - 每日9:30自动初始化飞书表格 - 定时提醒（可配置间隔） - 支持用户操作反馈 - 自动更新表格状态 ## 📋 配置要求 ### 1. 飞书配置 - 创建飞书多维表格 - 获取飞书机器人Webhook - 获取飞书AccessToken（需要"多维表格读写"权限） ### 2. 环境变量 ```bash FEISHU_WEBHOOK=你的飞书Webhook FEISHU_ACCESS_TOKEN=你的飞书AccessToken FEISHU_APP_TOKEN=你的表格AppToken FEISHU_TABLE_ID=你的表格ID ``` ## 🚀 快速开始 ### 安装依赖 ```bash npm install ``` ### 配置环境 ```bash cp .env.example .env # 编辑.env文件填写配置 ``` ### 运行测试 ```bash npm test ``` ### 生产运行 ```bash npm start ``` ## 🔧 技术架构 ### 安全特性 - ✅ 仅使用HTTPS API - ✅ 完整的输入验证 - ✅ 错误边界处理 - ✅ 无恶意代码 - ✅ 符合ClawHub安全规范 ### 数据流程 ``` 官方API → 数据解析 → 过滤分类 → 表格写入 → 消息推送 ``` ## 📞 支持与反馈 如有问题或建议，请查看文档或联系作者。 --- **版本**: v1.0.0（合规版） **状态**: 生产就绪 ✅ **安全等级**: ClawHub合规认证 🛡️


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: codenova58/housekeeping (version 0.1.0)

--- name: "Housekeeping" description: "提供钟点工、全日制保姆、收纳整理及服务评价体系指引。" --- # 家政服务 ## 筛选项 - 服务半价（时薪/计件/整屋/一口价） - 服务范围（室内/室外/高空/深度） - 紧急程度（即时响应/预约到家/周期维护） ## 返回字段 - 服务工时预估/人员资质/服务保险覆盖 - 工具自带/耗材清单/二次上门保障 - 历史星级/实名认证状态/用户追评 ## 示例请求 - “如何快速使用 家政服务 处理 [具体场景任务] ？” - “家政服务 的 [核心功能] 有哪些最新玩法/优惠信息？” ## 更新频率 - 依据季节需求波动与区域运力状态每周进行评估更新 ## 注意事项 - 建议上门服务期间留人陪同；贵重物品请提前收起或告知服务人员。


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

--- name: jpeng-image-generator description: "AI image generation skill using DALL-E, Stable Diffusion, or Midjourney API. Generate, edit, and vary images from text prompts." version: "1.0.0" author: "jpeng" tags: ["image", "ai", "dalle", "stable-diffusion", "generation"] --- # Image Generator Generate AI images using DALL-E, Stable Diffusion, or other providers. ## When to Use - User wants to generate an image from text - Create variations of existing images - Edit images with AI inpainting - Generate thumbnails or illustrations ## Configuration ```bash # OpenAI DALL-E export OPENAI_API_KEY="sk-xxx" # Stability AI export STABILITY_API_KEY="sk-xxx" # Replicate (for SDXL, etc.) export REPLICATE_API_TOKEN="r8_xxx" ``` ## Usage ### Generate image ```bash python3 scripts/generate_image.py \ --prompt "A serene mountain landscape at sunset" \ --size "1024x1024" \ --output "./output.png" ``` ### Generate variations ```bash python3 scripts/generate_image.py \ --vary "./input.png" \ --count 4 \ --output-dir "./variations" ``` ### Edit image (inpainting) ```bash python3 scripts/generate_image.py \ --edit "./input.png" \ --mask "./mask.png" \ --prompt "Add a rainbow in the sky" ``` ### With style presets ```bash python3 scripts/generate_image.py \ --prompt "A futuristic city" \ --style "cyberpunk" \ --negative "blurry, low quality" ``` ## Output ```json { "success": true, "image_path": "./output.png", "revised_prompt": "A serene mountain landscape..." } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: aikawabigsky309/pozzzi-charity-document (version 0.1.0)

--- name: document-assistant description: 噗滋（pozzzi）慈善 - 帮助中小型 NGO 生成日常行政文书，支持合同协议、会议纪要、公函、感谢信和工作计划五类文书，内置固定法律条款直通机制避免模型改写关键条款。 --- # 文书助手 > ℹ️ **公益开源工具（v0.1.0）** > > 本 Skill 为噗滋（pozzzi）慈善开源工具集成员，由社区贡献者维护，遵循 MIT License。 > > **使用约束**（用户自负责任）： > - 🚫 禁止处理 14 岁以下未成年人个体级数据（《未成年人保护法》第 72-74 条） > - 🚫 禁止用于编造法规条文、文件编号、资质证书编号等 > - 🚫 不适用于公开募捐相关内容生成（建议使用专业工具） > - ⚠️ AI 生成内容**必须经人工审核后方可使用**，开发者不对使用结果承担责任 > - ⚠️ 本工具不构成专业的法律/财务/管理建议 > - ✅ 用户自带模型 API（混元/DeepSeek/豆包，均已各自备案） > - ✅ 噗滋（pozzzi）作为工具提供者，不接触/不存储用户数据 > > 详细法律声明：[LICENSE](https://github.com/kirinspark/pozzzi-charity/blob/main/LICENSE) | [免责声明](https://github.com/kirinspark/pozzzi-charity/blob/main/docs/legal/disclaimer.md) 文书助手是噗滋慈善（pozzzi-charity） Skill 集群的第三核心 Skill，覆盖 NGO 日常行政文书需求。 ## 支持的文书类型 - **合同/协议** — 志愿者协议、合作协议、租赁协议、服务协议 - **会议纪要** — 理事会、监事会、团队会议 - **公函** — 致政府部门、资助方、合作伙伴 - **感谢信** — 致捐赠人、志愿者、合作方 - **工作计划/总结** — 年度、季度、月度 ## 核心特性 - **固定条款直通**（fixed-clause-handler）：合同中的保密、不可抗力、争议解决等法律条款不经模型，直接从模板复制，防止 AI 改写 - **差异化语气**：合同 temperature=0.2（严谨）→ 感谢信 temperature=0.6（温暖） - **合同法律免责**：合同类文书额外提示"建议法律专业人士审核" ## 技术依赖 - `model-gateway` — 多模型路由、域名白名单、内置 PII 前置过滤 - `disclaimer-injector` — AI 声明和免责提示注入 - `storage-adapter` — 本地数据存储（日志、历史）


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: utopiabenben/download-organizer (version 1.0.0)

--- name: download-organizer description: 下载文件自动分类工具，自动识别文件类型并按类别整理到不同文件夹。适用于整理下载文件夹，自动分类文档、图片、视频、音频、安装包、压缩包等文件！ --- # Download Organizer - 下载文件自动分类工具 ## 功能特性 - ✅ 自动识别文件类型（文档、图片、视频、音频、安装包、压缩包、代码等） - ✅ 按文件类型自动分类到不同文件夹 - ✅ 支持自定义分类规则 - ✅ 预览模式（先看效果再执行） - ✅ 撤销操作（安全可靠） ## 安装 ```bash # 方法一：通过 clawhub 安装 clawhub install download-organizer # 方法二：作为 Python 脚本运行 git clone <repo-url> cd download-organizer ``` ## 快速开始 ### 1. 整理下载文件夹 ```bash download-organizer organize ~/Downloads --output ~/Downloads/Organized ``` 这会自动创建以下文件夹结构，并把文件移动进去： ``` Organized/ ├── documents/ │ ├── report.pdf │ └── notes.docx ├── images/ │ ├── photo.jpg │ └── screenshot.png ├── videos/ │ └── movie.mp4 ├── audio/ │ └── song.mp3 ├── installers/ │ └── app.exe ├── archives/ │ └── files.zip └── code/ └── script.py ``` ### 2. 预览模式（不实际执行） ```bash download-organizer organize ~/Downloads --preview ``` ### 3. 撤销操作 ```bash download-organizer undo ~/Downloads/Organized ``` ## 详细使用说明 ### organize 命令参数 - `directory`：（必需）要整理的目录，通常是下载文件夹 - `--output`：输出目录，默认在输入目录下创建 `Organized` 文件夹 - `--preview`：预览模式，只显示方案不实际执行 ### 默认文件分类 | 文件夹 | 文件类型 | |-------|---------| | documents | .pdf, .doc, .docx, .txt, .xls, .xlsx, .ppt, .pptx | | images | .jpg, .jpeg, .png, .gif, .webp, .heic | | videos | .mp4, .avi, .mov, .mkv | | audio | .mp3, .wav, .flac, .aac | | installers | .exe, .msi, .dmg, .pkg, .deb, .rpm | | archives | .zip, .rar, .7z, .tar, .gz | | code | .py, .js, .html, .css, .java, .cpp | ### 配置文件（计划中） 可以在项目根目录创建 `.download-organizer.json` 来自定义分类规则： ```json { "output_dir": "~/Downloads/Organized", "categories": { "documents": [".pdf", ".doc"], "images": [".jpg", ".png"] }, "backup_original": true } ``` ## 示例场景 ### 场景 1：整理下载文件夹 ```bash # 整理你的下载文件夹 download-organizer organize ~/Downloads ``` ### 场景 2：先预览，再执行 ```bash # 第一步：预览 download-organizer organize ~/Downloads --preview # 第二步：确认没问题后执行 download-organizer organize ~/Downloads --output ~/Downloads/Organized ``` ## 注意事项 - 确保有文件的读写权限 - 建议先用 --preview 预览效果 - 大量文件整理可能需要一些时间 - 整理前建议先备份原文件 ## 更新日志 ### v1.0.0 (2026-03-06) - 初始版本发布 - 支持按文件类型自动分类 - 支持预览模式 - 支持撤销操作


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: igorganapolsky/real-estate-lead-pilot (version 1.0.1)

--- id: real-estate-lead-pilot name: Real Estate Lead Pilot (ThumbGate Grounded) version: 1.0.0 description: A high-trust lead qualification and appointment booking agent for realtors. Prevents MLS hallucinations via ThumbGate grounding. author: Igor Ganapolsky (Ex-Subway Mobile App Team Lead) tags: [real-estate, lead-gen, appointments, crm, thumbgate] --- # Real Estate Lead Pilot The Lead Pilot is a ThumbGate-hardened agent designed to handle the first 60 seconds of any lead interaction. It qualifies buyers and sellers based on budget, timeline, and pre-approval status, then books appointments directly into your calendar. ## Key Features - **Zero Hallucination Guarantee:** Uses ThumbGate to ensure property details are only pulled from your verified MLS/Sheet data. - **Smart Qualification:** Asks the "hard questions" (Pre-approval, Down payment, Timeline) before booking your time. - **Instant CRM Sync:** Pushes lead data and behavioral scores to your CRM (Follow Up Boss, LionDesk, or Sheets). - **Human-in-the-Loop:** Automatically detects complex negotiation or frustration and alerts you for a live takeover. ## Instructions 1. **Intake:** Greet the lead and identify if they are a Buyer, Seller, or Renter. 2. **Qualify:** Follow the 4-point qualification framework (Budget, Location, Timeline, Motivation). 3. **Verify:** Use ThumbGate rules to cross-reference their requirements with your current listings. 4. **Book:** Offer available slots from the connected calendar and confirm the appointment. 5. **Log:** Write all lead data and the "PropPhy" behavioral score to the CRM. ## ThumbGate Prevention Rules 1. **MLS Anchor:** Never state a property price or feature that is not explicitly in the `listings` database. 2. **Pre-Approval Gate:** Block appointment booking for Buyers who haven't confirmed "Pre-approved" status unless overridden. 3. **Location Check:** If a user asks for a city outside your `service_area`, MUST provide a referral disclaimer. 4. **Negotiation Lock:** If a user asks "What's the lowest you'll take?", the agent MUST hand off to a human. 5. **No Legal Advice:** If asked about zoning or legalities, MUST state "I am an AI assistant, please consult a legal professional." ## 🏠 Upgrade to Lead Pilot Premium Get the high-trust bundle including: - 10+ Advanced ThumbGate Rules (Fair Housing & DNC compliant) - CRM Webhook Bridge (Follow Up Boss / LionDesk) - Automated behavioral scoring (PropPhy framework) - Setup Guide & Video Tutorial **Buy Now on Gumroad ($147):** https://iganapolsky.gumroad.com/l/tzehg


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: paulgnz/xpr-code-sandbox (version 0.2.11)

--- name: code-sandbox description: Execute JavaScript code in a sandboxed VM for data processing and computation --- ## Code Sandbox You have sandboxed JavaScript execution tools for computation and data processing: **Full scripts:** - `execute_js` — run JavaScript code in an isolated V8 sandbox - Pass data via the `input` parameter (JSON) — access it as `INPUT` in your code - Use `console.log()` to capture intermediate values (returned in `logs` array) - Available globals: `JSON`, `Math`, `Date`, `Array`, `Object`, `String`, `Number`, `RegExp`, `Map`, `Set`, `parseInt`, `parseFloat`, `isNaN`, `isFinite`, `encodeURIComponent`, `decodeURIComponent`, `atob`, `btoa` - No network access, no filesystem, no imports — pure computation only - Default timeout 5 seconds, max 30 seconds - 10MB output limit **Quick expressions:** - `eval_expression` — evaluate a single JavaScript expression and return the result - Use for quick math: `"15 * 4500 * 0.01"` → `675` - Date calculations: `"new Date().toISOString()"` - Array operations: `"[1,2,3].map(x => x*x)"` → `[1, 4, 9]` **Best practices:** - Use `execute_js` for multi-step data processing, algorithm testing, code validation - Use `eval_expression` for quick math, string ops, date calculations - Pass large datasets via `input` parameter rather than embedding in code - Combine with `parse_csv` (structured-data skill) for CSV → transform → output workflows - Combine with `store_deliverable` to save computed results as job evidence


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ncsimok/doorstep-video-editor (version 1.0.0)

--- name: video-editor description: "视频剪辑技能 - 基于moviepy + ffmpeg的视频处理工具箱。功能：(1) 裁剪/合并/分割视频，(2) 添加中文文字/字幕，(3) 添加/替换背景音乐，(4) 变速/调整尺寸，(5) 提取/替换音频，(6) 纯文字讲解视频生成。Use when: (1) 需要剪辑短视频（抖音/小红书），(2) 需要给视频加文字/字幕，(3) 需要合并多段视频，(4) 需要调整视频速度/尺寸，(5) 需要为视频配背景音乐。Triggers: '剪辑视频', '视频处理', '加文字', '加字幕', '合并视频', '加背景音乐', '变速', '视频裁剪', '竖屏转换'" --- # Video Editor — 视频剪辑技能 ## 概述 基于 moviepy v2 + ffmpeg 的本地视频剪辑工具箱。**无需任何外部API**，全部在本地完成。 ## 前置条件 - Python: moviepy, pillow, numpy - ffmpeg（由imageio-ffmpeg自动管理） ## 命令速查 ```bash # 查看视频信息 python {baseDir}/scripts/video_editor.py info "video.mp4" # 裁剪片段 (3.5秒到8.2秒) python {baseDir}/scripts/video_editor.py trim "video.mp4" 3.5 8.2 # 合并多个视频 python {baseDir}/scripts/video_editor.py merge "v1.mp4" "v2.mp4" "v3.mp4" -o=merged.mp4 # 加文字（底部） python {baseDir}/scripts/video_editor.py text "video.mp4" "上门体育服务" bottom # 加文字（顶部） python {baseDir}/scripts/video_editor.py text "video.mp4" "私信我马上安排" top # 加背景音乐（音量0.3） python {baseDir}/scripts/video_editor.py music "video.mp4" "bgm.mp3" 0.3 # 变速（1.5倍） python {baseDir}/scripts/video_editor.py speed "video.mp4" 1.5 # 转竖屏 (1080x1920) python {baseDir}/scripts/video_editor.py resize "video.mp4" --width=1080 --height=1920 # 加字幕（需要JSON文件） python {baseDir}/scripts/video_editor.py subtitles "video.mp4" "subtitles.json" # 提取音频 python {baseDir}/scripts/video_editor.py audio "video.mp4" "output.mp3" # 替换音频 python {baseDir}/scripts/video_editor.py replace_audio "video.mp4" "voiceover.mp3" # 生成纯文字讲解视频 python {baseDir}/scripts/video_editor.py talk "上门体育服务，让运动像点外卖一样简单" 5 ``` ## 字幕JSON格式 ```json [ {"start": 0, "end": 2.5, "text": "你是不是也有这些烦恼？"}, {"start": 2.5, "end": 5, "text": "上班太累，没时间运动"}, {"start": 5, "end": 7.5, "text": "私教太贵，健身房太远"}, {"start": 7.5, "end": 10, "text": "上门体育，把私教带到你家"} ] ``` ## 抖音/小红书常用操作 ### 制作15秒竖屏宣传视频 1. 拍摄横屏素材 → resize转竖屏 2. 裁剪关键片段 → trim 3. 合并 > merge 4. 加文字标题 → text 5. 配背景音乐 → music ### 制作口播视频 1. 录制口播 → 提取音频 2. 替换更好的音轨 → replace_audio 3. 加字幕 → subtitles 4. 变速调整节奏 → speed


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: xueyetianya/syscheck (version 1.0.5)

--- name: SysCheck description: "System health checker and diagnostics tool. Quick overview of CPU usage, memory, disk space, uptime, load average, and running processes. Monitor system resources, check service status, and get instant system health reports. Essential sysadmin toolkit." version: "2.0.0" author: "BytesAgain" tags: ["system","monitor","health","cpu","memory","disk","admin","devops","linux"] categories: ["System Tools", "Developer Tools", "Utility"] --- # SysCheck Quick system health at a glance. Know your machine's status in one command. ## Commands - `overview` — Full system health summary - `cpu` — CPU usage and load average - `memory` — Memory and swap usage - `disk` — Disk space usage - `processes` — Top processes by CPU/memory - `uptime` — System uptime info ## Usage Examples ```bash syscheck overview syscheck cpu syscheck disk ``` --- Powered by BytesAgain | bytesagain.com ## When to Use - when you need quick syscheck from the command line - to automate syscheck tasks in your workflow ## Output Returns logs to stdout. Redirect to a file with `syscheck run > output.txt`. --- *Powered by BytesAgain | bytesagain.com* *Feedback & Feature Requests: https://bytesagain.com/feedback*


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