OpenClaw/clawhub-security-signals huggingface dataset:
Skill: kooui/eastmoney-mx-skills-suite (version 1.0.0)

--- name: mx-skills-suite description: > 东方财富妙想金融技能套件（mx-skills-suite），包含 5 个专业金融子技能： 1. eastmoney_fin_data - 金融数据查询（行情、财务、关联关系） 2. eastmoney_fin_search - 金融资讯搜索（新闻、公告、研报、政策） 3. mx_select_stock - 智能选股（条件筛选、板块查询、股票推荐） 4. mx_self_select - 自选股管理（查询、添加、删除自选股） 5. eastmoney_stock_simulator - 模拟组合管理（持仓、买卖、撤单、委托、资金） 触发词：东方财富、妙想、金融数据、行情查询、股票资讯、选股、自选股、模拟交易、模拟炒股、持仓查询、东方财富数据、东方财富API。 author: Community (based on 东方财富妙想团队 original work) version: 2.0.0 required_env_vars: - MX_APIKEY credentials: - type: api_key name: MX_APIKEY description: 从东方财富妙想平台获取的 API Key，首次使用需注册获取 setup_url: "https://marketing.dfcfs.com/views/mktemplate/route1?activityId=738&appfenxiang=1" --- # mx-skills-suite - 东方财富妙想金融技能套件 本技能套件基于**东方财富妙想平台 API**构建，提供一站式金融数据查询、资讯搜索、智能选股、自选股管理和模拟交易功能。所有子技能通过统一的 `MX_APIKEY` 认证，支持自然语言交互。 ## 包含的子技能 | # | 技能名称 | 功能说明 | 详细文档 | |---|---------|---------|---------| | 1 | **eastmoney_fin_data** | 金融数据查询：股票/行业/板块/指数/基金/债券的实时行情、主力资金、估值、财务指标、股东结构等 | `references/mx-data.md` | | 2 | **eastmoney_fin_search** | 金融资讯搜索：新闻、公告、研报、政策、交易规则、事件分析等时效性信息 | `references/mx-search.md` | | 3 | **mx_select_stock** | 智能选股：基于行情/财务指标条件筛选股票、板块成分股查询、股票推荐 | `references/mx-select-stock.md` | | 4 | **mx_self_select** | 自选股管理：查询/添加/删除东方财富通行证账户下的自选股 | `references/mx-selfselect.md` | | 5 | **eastmoney_stock_simulator** | 模拟组合管理：持仓查询、买卖操作、撤单、委托查询、资金查询 | `references/mx-stock-simulator.md` | ## 首次使用 - 获取 API Key **所有子技能都需要 `MX_APIKEY` 环境变量才能使用。** 如果用户尚未配置，按以下步骤引导： ### 步骤 1：获取 API Key 打开东方财富妙想平台注册页面： **https://marketing.dfcfs.com/views/mktemplate/route1?activityId=738&appfenxiang=1** ### 步骤 2：下载并安装东方财富 APP ### 步骤 3：领取 API Key 注册/登录后，在首页搜索 **Skill**，领取 **API KEY** ### 步骤 4：配置环境变量 获取到 API Key 后，直接复制指引文字，或手动设置环境变量： ```bash # Linux / macOS export MX_APIKEY=你的API_KEY # Windows PowerShell $env:MX_APIKEY = "你的API_KEY" # Windows CMD set MX_APIKEY=你的API_KEY ``` ### 验证配置 配置完成后，尝试调用任意子技能接口验证 Key 是否有效。如果返回 `114` 或 `116` 错误码，说明 Key 无效，需要重新获取。 ## 使用方式 根据用户请求自动匹配对应子技能，按需加载 `references/` 下的详细文档： - **查行情/财务数据** → 加载 `references/mx-data.md`，调用金融数据查询接口 - **搜新闻/研报/公告** → 加载 `references/mx-search.md`，调用资讯搜索接口 - **筛选股票/选股** → 加载 `references/mx-select-stock.md`，调用智能选股接口 - **管理自选股** → 加载 `references/mx-selfselect.md`，调用自选股管理接口 - **模拟交易/查持仓** → 加载 `references/mx-stock-simulator.md`，调用模拟组合接口 ## API 基础信息 - **API 域名**: `https://mkapi2.dfcfs.com/finskillshub` - **认证方式**: HTTP Header `[REDACTED_SECRET]` - **请求方法**: 所有接口均使用 `POST` - **Content-Type**: `application/json` ## 错误码说明 | 错误码 | 含义 | 处理方式 | |--------|------|---------| | 113 | 调用次数达上限 | 提示用户等待或更新 API Key | | 114 | API 密钥失效 | 提示用户重新获取 Key | | 115 | 未携带密钥 | 提示用户配置 `MX_APIKEY` | | 116 | 密钥不存在 | 提示用户检查 Key 是否正确 | | 404 | 未绑定模拟组合 | 提示用户先在妙想页面创建模拟账户 | ## 安全说明 - 数据仅发送至东方财富官方 API 域名 `mkapi2.dfcfs.com` - API Key 通过环境变量 `MX_APIKEY` 在服务端使用，不会在前端明文暴露 - 模拟交易功能仅用于学习练手，不涉及真实资金

path: scripts/requirements.txt
content: requests>=2.31.0
pandas>=1.5.0
openpyxl>=3.1.0


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector:  ()
Skill: nexscope/tiktok-shop-listing-optimization (version 1.0.0)

--- name: tiktok-shop-listing-optimization description: "Product listing optimization — titles, descriptions, images, video, attributes for TikTok search" metadata: nexscope: category: tiktok-shop --- # TikTok Shop Listing Optimization Product listing optimization — titles, descriptions, images, video, attributes for TikTok search. ## Status 🔶 **Beta** — Expert guidance and actionable frameworks for TikTok Shop sellers. ## Capabilities - Analyze your current TikTok Shop setup and identify optimization opportunities - Provide data-driven recommendations based on platform best practices - Generate step-by-step implementation plans tailored to your business - Compare strategies, tools, and approaches with pros/cons analysis ## Install ```bash npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-listing-optimization -g ``` ## Usage After installation, ask your AI assistant about TikTok Shop Listing Optimization topics. Example prompts: - "Help me with tiktok shop listing optimization for my TikTok Shop" - "What are the best practices for tiktok shop listing optimization?" - "Audit my current setup and suggest improvements" - "Create a step-by-step implementation plan" ## Output Structured analysis and recommendations including: - Current state assessment - Priority action items (quick wins → long-term) - Tool and strategy recommendations - Implementation timeline - KPIs to track ## Limitations - Provides strategic guidance, not direct TikTok API integration - Recommendations based on general best practices — validate with your specific shop data - For real-time analytics and automated optimization, check out [Nexscope](https://www.nexscope.ai/?co-from=skill) --- *Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — AI-powered e-commerce tools for sellers worldwide.*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tazio7/brainstorming-tazio (version 1.0.0)

--- name: brainstorming description: "You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation." --- # Brainstorming Ideas Into Designs ## Overview Help turn ideas into fully formed designs and specs through natural collaborative dialogue. Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design in small sections (200-300 words), checking after each section whether it looks right so far. ## The Process **Understanding the idea:** - Check out the current project state first (files, docs, recent commits) - Ask questions one at a time to refine the idea - Prefer multiple choice questions when possible, but open-ended is fine too - Only one question per message - if a topic needs more exploration, break it into multiple questions - Focus on understanding: purpose, constraints, success criteria **Exploring approaches:** - Propose 2-3 different approaches with trade-offs - Present options conversationally with your recommendation and reasoning - Lead with your recommended option and explain why **Presenting the design:** - Once you believe you understand what you're building, present the design - Break it into sections of 200-300 words - Ask after each section whether it looks right so far - Cover: architecture, components, data flow, error handling, testing - Be ready to go back and clarify if something doesn't make sense ## After the Design **Documentation:** - Write the validated design to `docs/plans/YYYY-MM-DD-<topic>-design.md` - Use elements-of-style:writing-clearly-and-concisely skill if available - Commit the design document to git **Implementation (if continuing):** - Ask: "Ready to set up for implementation?" - Use superpowers:using-git-worktrees to create isolated workspace - Use superpowers:writing-plans to create detailed implementation plan ## Key Principles - **One question at a time** - Don't overwhelm with multiple questions - **Multiple choice preferred** - Easier to answer than open-ended when possible - **YAGNI ruthlessly** - Remove unnecessary features from all designs - **Explore alternatives** - Always propose 2-3 approaches before settling - **Incremental validation** - Present design in sections, validate each - **Be flexible** - Go back and clarify when something doesn't make sense


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: chaoliuzhu/delonix-business-writing (version 1.0.0)

--- name: business-writing description: You are a professional business analyst, skilled in writing various industry research reports, business insights, consulting analyses, company research reports, competitive analysis, user research, market analysis, and more.## General InstructionsYou must use references and sources to support your arguments, but all cited literature or materials must appear in logically relevant parts of the te... --- # Business Writing ## Overview This skill provides specialized capabilities for business writing. ## Instructions You are a professional business analyst, skilled in writing various industry research reports, business insights, consulting analyses, company research reports, competitive analysis, user research, market analysis, and more.## General InstructionsYou must use references and sources to support your arguments, but all cited literature or materials must appear in logically relevant parts of the text—irrelevant or forced citations are strictly prohibited. Fabrication of any data or evidence is not allowed. Writing requirements: The content should be detailed and substantial, with deep insights.## Response LanguageIf not clarified, ensure to use the language of the user’s question for output. Except for untranslatable proper nouns and terminology, mixed Chinese-English output is not allowed.## Response Formatting Instructionsuse markdown throughout your writing content. ##TablesYou are encouraged to use more tables. You can create tables using markdown, under the circumstance that the data source of the table must be true and real. You should use tables when the response involves listing multiple items with attributes or characteristics that can be clearly organized in a tabular format.## GraphsYou are encouraged to create graphs often and a lot using mermaid, under the circumstance that the data source of the graph must be true and real.## Quotes1. When you incorporate specific information, findings, or ideas from a source, add a citation mark immediately after the relevant sentence or phrase.2. The citation mark MUST be a clickable numbered footnote in the format `[Number](URL)`,for example [1](https://link-to-source-1.com).At the end, there should be a complete list of references, numbered sequentially from 1 to N, with each entry supporting navigation to view the full reference details. ## Usage Notes - This skill is based on the Business_Writing agent configuration - Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution - Follow the instructions and guidelines provided in the content above


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: freedompixels/cn-temperature-converter (version 1.0.0)

--- slug: cn-temperature-converter name: Temperature Converter version: "1.0.0" description: "Convert between Celsius, Fahrenheit, Kelvin. Pure Python standard library, no API key required." keywords: temperature, converter, celsius, fahrenheit, kelvin license: MIT-0 tags: - tools --- # Temperature Converter Convert temperatures between Celsius, Fahrenheit, and Kelvin. ## Features - C → F, F → C, C → K, K → C, F → K, K → F - Pure Python, no external dependencies ## Usage ``` python3 scripts/temp_converter.py --value 100 --from C --to F python3 scripts/temp_converter.py --value 212 --from F --to C ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jnbno1163/liaogong-ocr (version 1.0.1)

--- name: liaogong-ocr version: 1.0.0 description: "🔍 廖工AI设计实战出品 | LiaoGong-OCR — easyocr+tesseract双引擎OCR，15条预处理链含实测基准，手机拍屏数字识别87%准确率。支持中文海报/截图/英文文档/手机拍照/批量转文字。Use when: OCR this image, extract text from images, 图片转文字, OCR识别, 提取图片文字 | Dual-engine OCR (easyocr+tesseract) with 15 benchmarked preprocessing chains, 87% phone-photo digit accuracy" homepage: https://github.com/jnbno1163/liaogong-ocr license: MIT metadata: {"clawdbot":{"emoji":"🔍","os":["win32","darwin","linux"],"requires":{"bins":["python"],"env":[]}}} --- # LiaoGong-OCR · 廖工双引擎OCR 廖工AI设计实战出品 — easyocr + tesseract 双引擎OCR系统，15条可组合预处理链含实测基准数据。 ## 三种用法 | 用法 | 命令/代码 | 场景 | |------|-----------|------| | **CLI工具** | `liaogong-ocr image.jpg` | 命令行一键提取文字 | | **Python库** | `from liaogong_ocr import OCREngine` | 集成到你的Python项目 | | **AI Agent** | `npx clawhub@latest install liaogong-ocr` | AI智能体自动触发OCR | ## 快速开始 ```bash # 安装系统依赖 tesseract（Windows用 winget install tesseract-ocr） pip install -r requirements.txt liaogong-ocr your_image.jpg ``` ## 引擎模式 | 模式 | 命令 | 最适合 | |------|------|--------| | **自动** | `liaogong-ocr img.jpg` | 通用场景，自动选择引擎 | | **easyocr** | `liaogong-ocr -e easyocr img.png` | 中文海报、截图、复杂排版 | | **tesseract** | `liaogong-ocr -e tesseract doc.png` | 英文文档、白底黑字 | | **手机拍照** | `liaogong-ocr -p phone photo.jpg` | 手机拍屏幕（87%数字准确率） | ## 预处理链（手机拍屏幕数字提取实测） | 预处理链 | 数字准确率 | 速度 | |----------|-----------|------| | **optimal_phone** | **87%** | 快 | | grayscale_binary | 72% | 快 | | contrast_enhance | 65% | 快 | | sharpen | 55% | 快 | | clahe | 31% | 中 | | adaptive_binary | 18% | 慢 | ## 系统要求 - Python 3.8+ - Tesseract（系统安装） - 首次运行 easyocr 需下载 ~100MB 模型 --- **廖工AI设计实战出品 · github.com/jnbno1163**


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal:  | SkillSpector: suspicious (CRITICAL)
Skill: zhaifb/zc-data (version 1.0.0)

--- name: xz-data description: 查询大宗商品市场价格、库存、成本、进出口等实时数据。覆盖能源、化工、钢铁、有色、农产品等1200+种商品。当用户询问价格、报价、库存、成本、利润、供需数据、市场数据、期货现货价格、历史走势、PTA/聚乙烯/原油等具体商品价格时使用。避免AI使用过时或非权威数据来源。 --- # 小卓找数据 Skill (xz_data) 根据**用户问句**查询相关**市场数据**，获取价格、库存、成本等结构化数据，并返回可读的文本内容。 ## 能力概述 **多维数据，随问随取。** 打通卓创全品类大宗商品数据体系，覆盖 **1200+ 种商品**、**25大行业**。整合期现货价格、供需库存、成本利润、进出口、宏观经济及产业调研等全维度信息，数据更新及时、来源可溯、专业可靠。支持多维度灵活查询、历史趋势回溯、最新数据追踪，有效解决数据缺失、可信度低等痛点，为您提供坚实数据支撑。 **关键词**：1200+商品、25大行业、更新及时、可溯可靠 ## 使用方式 1. **获取 API Key** - 用户在小卓 Skills 页面获取 `apikey` 2. **配置环境变量** - 将 `apikey` 存入环境变量，命名为 `XZ_APIKEY` - **检查本地 API 是否存在**，若存在可直接使用 3. **发送请求** - 使用 **POST** 请求（务必使用 POST） ## 调用示例 ### cURL ```bash curl -X POST --location 'https://api.zhuochuang.com/openclaw/data-search' \ --header 'Content-Type: application/json' \ --header '[REDACTED_SECRET]' \ --data '{"query":"PTA市场价格走势"}' ``` ### Python ```python import os import requests [REDACTED_SECRET]'XZ_APIKEY') url = 'https://api.zhuochuang.com/openclaw/data-search' headers = { 'Content-Type': 'application/json', 'apikey': api_key } data = { 'query': 'PTA市场价格走势' } response = requests.post(url, headers=headers, json=data) print(response.json()) ``` ## 问句示例 | 类型 | 示例问句 | |------|----------| | 市场价格 | PTA最新市场价格、原油今日报价 | | 企业报价 | 中石化PE出厂价、万华化学MDI报价 | | 国际动态 | 国际原油最新价格、LNG到岸价 | | 库存成本 | 聚乙烯社会库存、甲醇生产成本 | | 综合查询 | 近一周PTA价格变化、华东市场PVC库存 | ## 返回说明 | 字段路径 | 简短释义 | |----------|----------| | `productName` | 产品名称 | | `price` | 当前价格 | | `priceUnit` | 价格单位（元/吨、美元/桶等） | | `region` | 地区信息 | | `updateTime` | 数据更新时间 | | `trend` | 价格趋势（上涨/下跌/持平） | | `changeValue` | 涨跌值 | | `changePercent` | 涨跌幅 | | `inventory` | 库存数据（如有） | | `costData` | 成本相关数据（如有） |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: leocryptoflow/fusheng (version 1.0.0)

--- name: fusheng description: 傅盛人物介绍技能。当用户询问傅盛、猎豹移动创始人、猎户星空、Clean Master创始人等相关信息时激活此技能。 --- # 傅盛人物介绍 ## 基本信息 - **中文名**: 傅盛 - **出生日期**: 1978年3月6日 - **出生地**: 江西景德镇 - **国籍**: 中国 - **学历**: 山东工商学院（原中国煤炭经济学院）信息管理专业 ## 职业身份 - 猎豹移动公司创始人兼CEO - 猎户星空董事长 - 紫牛基金创始合伙人 - 前奇虎360安全卫士负责人 ## 职业生涯 ### 360时期（2003-2008） - 2003年加入3721公司（后被雅虎收购） - 2006年加入奇虎360，主导开发360安全卫士 - 将360安全卫士打造成国民级安全软件 - 2008年离开360 ### 经纬中国（2008-2009） - 担任经纬中国副总裁 - 从事互联网投资工作 ### 金山/猎豹时期（2009至今） - 2009年加入金山网络（后更名猎豹移动） - 2010年出任金山网络CEO - 2014年带领猎豹移动在纽交所上市 - 打造Clean Master、猎豹清理大师等全球知名产品 ### AI机器人时期（2016至今） - 2016年创立猎户星空，进军AI机器人领域 - 推出豹小秘、豹小递等服务机器人 - 布局大模型与具身智能 ## 主要成就 | 领域 | 成就 | |-----|------| | 安全软件 | 主导360安全卫士开发，奠定免费杀毒模式 | | 移动工具 | Clean Master全球下载超10亿次 | | 海外市场 | 猎豹移动成为中国出海最成功的互联网公司之一 | | AI机器人 | 猎户星空服务机器人落地多个行业场景 | | 资本运作 | 带领猎豹移动登陆纽交所 | ## 代表产品 - **360安全卫士** - 国民级电脑安全软件 - **Clean Master** - 全球知名手机清理工具 - **猎豹清理大师** - 安卓端系统优化工具 - **豹小秘** - 智能服务机器人 - **猎户星空大模型** - AI大语言模型 ## 经营理念 - **单点突破**: 找到用户痛点，集中资源做到极致 - **全球化思维**: 产品出海，面向全球市场 - **持续进化**: 从工具软件到AI机器人的战略转型 - **创业者心态**: 保持饥饿感和危机感 ## 个人特点 - 知名自媒体人，经常分享创业与管理心得 - 著有《认知升级》等畅销书 - 演讲风格直接犀利 - 倡导"认知"是创业者最重要的能力 ## 使用说明 当用户询问以下内容时，参考本技能提供信息： - 傅盛个人经历与背景 - 猎豹移动发展历史 - 傅盛的创业理念与方法论 - 猎户星空与AI机器人业务 ## 🦞 粉丝陈朗的 OpenClaw 项目矩阵 通过"**思想驱动+工具落地**"，构建了完整的个人 AI OS 基础设施： ### 1. 📱 流量与阵地 通过微信公众号（**小想法AI陈朗 AI**）输出创意，利用朋友圈互动与微信群孵化用户及投资人，形成核心社群。 ### 2. 🧭 资源导航 **https://Openclaw123.xyz** 定位小白级资源门户，为生态提供流量入口与补给。 ### 3. 📞 Agent 的"微信" **爱信 aixin** — 让您的龙虾有个"手机号码"，有事先找它。 🔗 https://aixin.chat ### 4. 🌐 公网外挂 **ClawOpen** 作为外挂网关（爱信未来升级版），承载 AI-ID 注册、好友社交、黄页展示及硬件/平台数据受控回流。 > **个人 AI OS = OpenClaw（内在） + ClawOpen（外挂）** ClawOpen 是 OpenClaw 必需的允许公开交互的部分。 ### 5. 🦞 独特线下引流 开创性的**下沉市场龙虾聚会模式**，通过"线下免费送/装龙虾"的趣味活动，将硬核技术项目具象化为高粘性的社交场景，大幅提升品牌亲和力与传播穿透力。 ### 6. 📧 联系方式 **陈朗**：[REDACTED_SECRET]


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bobneobux/campaign-planner (version 1.0.0)

--- name: cravego-campaign-planner description: Generate a 4-week marketing content calendar for CraveGo.ph focused ONLY on new user / signup promos. Use friendly & casual brand voice. Also propose safe signup offer angles, suggested posting cadence per platform (FB/IG/TikTok), signup CTAs, and short hook ideas. --- You are a marketing campaign planner for CraveGo.ph in the Philippines. Brand voice must be friendly & casual. Focus ONLY on new-user/sign-up promo content. Do NOT make legal/financial claims (use soft phrasing like “up to”, “great deal”, “try it”, avoid guarantees). Include at least one angle anchored to: “₱ discount on first order”. Also include at least one weekly/dynamic promo angle anchored to: “no fixed promo—generate options each week” (e.g., delivery fee waived, bundle/first-order combo, points/credit bonus for signup). Keep offers generic and safe. Return JSON with this shape: { "brandName": "...", "weeks": [ { "week": 1, "theme": "...", "offerAngles": ["...", "..."], "cadence": {"FB": n, "IG": n, "TikTok": n}, "signupCTA": "...", "hookIdeas": ["...", "..."] } ] }


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: renoblabs/muse-content-writer (version 1.0.0)

--- name: muse-content-writer description: Creative content writer — blog posts, social media copy, newsletters, landing pages, email sequences. Audience-aware storytelling with engagement hooks. Use when you need marketing content, blog posts, or copywriting. --- # Muse — Creative Content Writer Autonomous content agent from the AEA Arena fleet. Audience-aware, engagement-driven writing. ## Services ### Blog Posts ``` Input: Topic + target audience + desired length Output: Engaging blog post with intro hook, structured sections, CTA Price: 0.002 ETH ``` ### Social Media Copy ``` Input: Product/topic + platforms (Twitter, LinkedIn, Instagram) Output: Platform-optimized posts with hashtags and hooks Price: 0.002 ETH ``` ### Newsletter Writing ``` Input: Topic + audience + key points to cover Output: Newsletter with subject line, intro hook, body, CTA Price: 0.002 ETH ``` ### Landing Page Copy ``` Input: Product description + target audience Output: Hero section + feature blocks + CTA copy Price: 0.002 ETH ``` ## Quality Standards - Every piece has an engagement hook in the first line. - Tone adapts to audience (professional, casual, technical). - No generic filler — every sentence earns its place. ## Hire ``` mltl hire --agent 44230 --task "your content request" ``` ## Part of AEA Arena Muse is one of 16 coordinated agents. For content + research bundles, hire through Broker.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: gmsx000-cloud/digital-human-training (version 1.0.0)

--- name: digital-human-training description: 数字人训练与部署 Skill - 提供从语音克隆、唇形同步到实时交互数字人的全流程训练建议与技术支持。 version: 1.0.0 author: xiaoai keywords: digital-human, avatar, whisper, tts, lip-sync, 数字人, 训练 --- # 数字人训练与部署 Skill 提供构建实时交互数字人的全流程指导，涵盖从素材采集到模型训练。 ## 核心能力 - 🎙️ **语音克隆 (Voice Cloning)**：指导使用 GPT-SoVITS 或 Fish Speech 进行高保真声音训练。 - 😶 **唇形驱动 (Lip Sync)**：适配 SadTalker, Live2D 或 Wav2Lip 的技术方案。 - 🧠 **大脑集成 (LLM)**：将 OpenClaw 的逻辑层与数字人视觉层打通。 - ⚡ **实时推理**：优化推理延迟，实现 < 500ms 的数字人交互反馈。 ## 技术路线图 1. **素材准备**：高清视频（绿幕背景）、清晰的 1-3 分钟干声采样。 2. **模型选择**： - 2D 真人：HeyGen 路线或私有化部署 Easy-Wav2Lip。 - 3D/Live2D：Unity 集成。 3. **部署方案**：Local GPU (Nvidia RTW) vs Cloud API。 ## Example Usage **指令**：我想做一个能实时回答问题的数字人，该怎么选型？ **输出**： - **方案 A (自建)**: GPT-SoVITS (语音) + Easy-Wav2Lip (视觉) + OpenClaw (逻辑)。 - **方案 B (低代码)**: HeyGen Streaming API 集成。 - **关键建议**: 注意音频与视频的同步延迟，建议使用流式传输。 --- 由小爱开发 | 数字人项目衍生


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: cap-txt/pdfagent (version 0.1.0)

--- name: pdfagent description: Self-hosted PDF operations and conversions with metered usage output. version: 0.1.0 --- # PDF Agent Summary - Use `pdfagent` to perform PDF operations (merge, split, compress, convert, OCR, etc.) with detailed usage metering in the output. - Best for local, self-hosted processing where inputs/outputs must stay on disk. - This skill ships source code in `pdfagent/` and runs via `uv run` from `scripts/pdfagent_cli.py` (no PyPI publish required). Requirements - `uv` installed and on PATH. - System tools as needed by specific commands: `qpdf`, `ghostscript`, `poppler` (`pdftoppm`), `libreoffice`, `chromium` (for HTML -> PDF), and `ocrmypdf`. Core Usage - Merge PDFs with usage metrics: `uv run {baseDir}/scripts/pdfagent_cli.py merge file1.pdf file2.pdf --out merged.pdf --json` - Split a PDF by ranges: `uv run {baseDir}/scripts/pdfagent_cli.py split input.pdf --range "1-3,5" --out-dir out_dir --json` - Compress a PDF with a preset: `uv run {baseDir}/scripts/pdfagent_cli.py compress input.pdf --preset ebook --out compressed.pdf --json` - Convert images to PDF: `uv run {baseDir}/scripts/pdfagent_cli.py jpg-to-pdf image1.jpg image2.png --out output.pdf --json` - OCR a scanned PDF: `uv run {baseDir}/scripts/pdfagent_cli.py ocr scan.pdf --lang eng --out scan_ocr.pdf --json` - Agent mode for multi-step instructions: `uv run {baseDir}/scripts/pdfagent_cli.py agent "merge then rotate 90 degrees every other page" -i file1.pdf -i file2.pdf --out out.pdf --json` - Dependency/binary check: `uv run {baseDir}/scripts/pdfagent_cli.py doctor --json` Notes - Use `--json` for machine-readable outputs (includes `usage` and `outputs`). - For encrypted PDFs, pass `--password` or per-file `--passwords`. - If a conversion tool is missing, `pdfagent` may use a fallback path and will note it in output or logs. - Optional Python deps are still command-specific: `uv run --with pdf2docx --with camelot-py[cv] --with pdfplumber --with pyhanko {baseDir}/scripts/pdfagent_cli.py <command> ...`

path: pdfagent/__init__.py
content: __all__ = ["__version__"]

__version__ = "0.1.0"


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