OpenClaw/clawhub-security-signals huggingface dataset:
Skill: mikaelaldy/x-analytics-loop (version 1.0.0)

--- name: x-analytics-loop description: Review X performance and choose next experiments. Use when analyzing weekly post metrics, diagnosing winners and losers, or planning what to repeat. --- # X Analytics Loop Run this weekly. ## Collect For each post, ask for or infer: - date/time - topic - format - hook - impressions - likes - replies - reposts/quotes - bookmarks if visible - profile visits - follows - link clicks if relevant ## Calculate Use: - engagement rate = engagements / impressions - reply rate = replies / impressions - repost rate = reposts / impressions - profile-click rate = profile visits / impressions - follow conversion = follows / profile visits If data is missing, continue with qualitative diagnosis and mark assumptions. ## Diagnose - High impressions, low engagement: hook/retrieval worked, post underdelivered. - Low impressions, high engagement: content resonated, distribution needs work. - High replies, low follows: conversation works, profile may be weak. - High profile clicks, low follows: bio/pinned post problem. - High likes, low reposts: agreeable, not share-worthy. - High reposts/bookmarks: make more templates/frameworks. ## Decide Pick: - 3 things to repeat - 3 things to stop - 3 experiments for next week ## Output Return: - **Top winners** - **Hidden winners** - **Losers** - **Signal diagnosis** - **Next week’s experiments** - **Posting plan** ## Operating Principle Treat the public X algorithm as a signal map, not a cheat code. Optimize for posts and replies that earn useful positive actions (dwell, replies, reposts, shares, profile clicks, follows) while avoiding negative actions (not interested, mute, block, report, fast skips).


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: maosangtianshi/zeh-hello-community (version 0.1.1)

--- name: zeh-hello-community description: Generate short Chinese notices for community teachers, grid workers, and public service staff. --- # zeh-hello-community Use this skill when the user needs a short formal notice for community staff. ## Output format 1. 标题 2. 适用对象 3. 正文 4. 注意事项 ## Rules - Reply in Chinese. - Keep it short and formal. - Do not invent policy details.

path: _meta.json
content: ownerId: kn76fhpzxv6v6z61a15tq9jr8h82q99w
slug: zeh-hello-community
version: 0.1.0
publishedAt: 1773286519275

path: scripts/generate_notice.py
content: import argparse

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--title", required=True)
    parser.add_argument("--content", required=True)
    args = parser.parse_args()

    print(f"标题：{args.title}")
    print("适用对象：社区老师 / 网格员 / 政务服务人员")
    print(f"正文：{args.content}")
    print("注意事项：请按通知要求准时落实。")

if __name__ == "__main__":
    main()


path: .clawhub/origin.json
content: version: 1
registry: https://clawhub.ai
slug: zeh-hello-community
installedVersion: 0.1.0
installedAt: 1773286708438

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: expysf98/cloudflare-image-gen (version 1.0.0)

--- name: cloudflare-image-gen description: Generate images using Cloudflare Workers AI flux-1-schnell model. Use when user requests image generation with text-to-image using Cloudflare Workers API. --- # Cloudflare Image Generation This skill generates images using Cloudflare Workers AI `@cf/black-forest-labs/flux-1-schnell` model. ## Credentials - Account ID: [REDACTED_SECRET] - [REDACTED_SECRET] - Model: `@cf/black-forest-labs/flux-1-schnell` ## Usage Run the script directly: ```bash python3 /home/ubuntu/.openclaw/workspace/skills/cloudflare-image-gen/scripts/generate_image.py "your prompt here" -o output.png ``` Or use the Python function: ```python import sys sys.path.insert(0, '/home/ubuntu/.openclaw/workspace/skills/cloudflare-image-gen/scripts') from generate_image import generate_image output_path = generate_image("a black horse") ``` ## Output The script saves the generated image as PNG and returns the file path. Send the image to the user via Telegram.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)
Skill: clawto/wechat-manager (version 1.0.0)

--- name: wechat-manager description: "微信智能管家：自动回复、消息分类、聊天记录分析、联系人管理。Trigger on: 微信, WeChat, 群聊, 朋友圈, 公众号, 聊天记录, 联系人, 表情包, 小程序, 红包." version: 1.0.0 license: MIT --- # WeChat Manager 💬 微信智能管家 — 通过微信官方 API 实现消息管理、自动回复和数据洞察的 OpenClaw Skill。 ## What it does - **消息管理**: 收发消息、群聊管理、自动回复规则 - **联系人管理**: 搜索联系人、分组管理、标签系统 - **聊天分析**: 消息频率统计、情感分析、高频词云 - **内容提取**: 从聊天记录提取待办、地址、日期等结构化信息 - **朋友圈监控**: 特定好友动态追踪 - **文件助手**: 自动归档聊天中的图片、文件、链接 ## Trigger Conditions Activate when user asks about: - 查看微信消息、回复某人 - 分析聊天记录、统计群活跃度 - 管理联系人或群组 - 设置自动回复规则 - 提取聊天中的信息 - 微信文件管理 ## Prerequisites - 微信官方 API 接入（企业微信或服务号） - `curl`, `jq`, `python3` - Access Token 管理 ## Installation ``` clawhub install clawto/wechat-manager ``` ## Configuration ``` # 微信 API 配置 export WECHAT_CORP_ID=your_corp_id export WECHAT_CORP_SECRET=your_corp_secret export WECHAT_AGENT_ID=your_agent_id ``` ## Scripts | Script | Purpose | |--------|---------| | `scripts/msg.py` | 消息收发与格式转换 | | `scripts/contacts.py` | 联系人搜索与管理 | | `scripts/stats.py` | 聊天统计分析 | | `scripts/auto-reply.py` | 自动回复规则引擎 | | `scripts/extract.py` | 聊天内容智能提取 | ## Usage ``` # 查看未读消息 > 我有多少未读微信？ 📬 未读消息: 47条 | 来自 12 个对话 🔝 最多: 工作群(15), 小明(8), 家人群(6) # 搜索联系人 > 帮我找一下小明的微信 👤 小明 (备注: 大学同学) 📱 微信号: xiaoming_2024 🏷️ 标签: 同学, 老友 # 聊天分析 > 分析一下工作群这个月谁最活跃 📊 本月活跃度 TOP5: 1. 🥇 张三: 847条 | 图片 23张 2. 🥈 李四: 632条 | 链接 12个 3. 🥉 王五: 501条 | @所有人 8次 ``` ## 🫶 Donation | Coin | Address | |------|---------| | BTC | [REDACTED_SECRET] | ## License MIT


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: rajniwebdeveloper/challanx (version 1.0.3)

--- name: challanx version: 1.0.1 author: "ChallanX Team <[REDACTED_SECRET]>" description: "All-in-one RTO, challan, RC lookups and media downloader features for ChallanX. Accepts a single input — a URL, a free-text message, or an image — and returns concise, actionable results (download links, summaries, or document analysis)." auth: header: x-api-key description: "Requests must include the x-api-key header. Operators should set CHALLANX_API_KEY as a runtime secret; do not hardcode keys in the bundle." requiredEnv: - CHALLANX_API_KEY tags: - openclaw - media - downloader - rto - challan --- # ChallanX Use this skill to work with the ChallanX OpenClaw media API at `https://challanx.in/openclaw/api`. ## Core rules - Treat `https://challanx.in/openclaw/api` as the only public endpoint. - Prefer file-like outputs with correct filenames and content types. - When the upstream media is downloadable, return a real media file response such as mp4, mp3, jpg, png, webp, or octet-stream only as a last fallback. - Avoid describing internal/local URLs in public-facing docs or examples. - Use ChallanX custom statuses in docs and examples instead of exposing raw upstream status names. ## Supported inputs The API may accept these fields: - `url` - `msg` - `image` - `timestamps` - `model` - `mode` - `response` - `action` - `filename` - `variants` - `audio` - `downloadMode` - `videoQuality` - `youtubeBetterAudio` - `youtubeVideoCodec` - `youtubeVideoContainer` - `audioFormat` - `audioBitrate` ## Output expectations ### Downloadable media When the request resolves to downloadable media, prefer returning the final file with a usable filename and a specific content type. Examples: - video: `video/mp4`, `video/webm` - audio: `audio/mpeg`, `audio/mp4`, `audio/wav` - image: `image/jpeg`, `image/png`, `image/webp`, `image/gif` Do not describe these responses as generic `.bin` unless no real filename/type can be inferred. ### JSON responses Use custom ChallanX statuses: - `success` - `download_ready` - `picker_required` - `failed` ### Picker responses When multiple choices are available, return JSON with a clear picker list and keep filenames readable. ### Error responses Return structured JSON with: - `ok` - `status` - `message` - `error.code` - `error.message` ## Docs and examples When writing docs or examples for this API: - use curl examples against `https://challanx.in/openclaw/api` - show `-L -o output.mp4` style usage for downloadable media - show JSON examples only for info, picker, and error responses - do not mention hidden internal hosts in public docs ## OpenClaw hook behavior If used in an OpenClaw workspace, the hook should inject a short reference file that reminds the agent: - public endpoint only - prefer mp4/image/audio filenames over `.bin` - use ChallanX statuses - keep docs concise and copy-paste friendly ## References - API usage reference: `references/api.md` - README template: `README.md` - Hook notes: `hooks/openclaw/HOOK.md`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: yo-onething/laike-sales (version 1.1.0)

--- name: laike-sales description: 来客推商城系统。用于回答商城源码相关咨询、产品介绍、功能解答。当用户咨询商城源码、电商系统、软件开发等问题时触发。 --- # 来客推商城系统 ## 公司信息 - **官网**：https://www.laiketui.com - **客服微信/QQ**：13237476750 - **联系电话**：13237476750 ## 产品矩阵 | 产品 | 说明 | 演示站 | |------|------|--------| | V3 | 多用户商城系统 | https://pc.thinkinshop.laiketui.net/ | | ThinkInShop | 多商户商城系统 | 同上 | | S2B2C供应链商城 | 供应链模式 | - | | 分销商城系统 | 分销模式 | - | | SaaS商城系统 | SaaS租赁 | - | | 国际外贸版商城 | 外贸电商 | - | ## 技术栈 - **后端**：PHP / Java - **前端**：uniapp + Vue2 - **多端**：小程序 / H5 / APP / PC端 ## 核心功能 **商品管理** 商品列表、分类管理、标签管理、规格管理、库存管理、上下架管理 **订单管理** 订单查询、发货、退货退款、物流跟踪、评价管理 **会员管理** 会员列表、积分管理、充值提现、资金管理 **运营插件** 拼团、砍价、秒杀、分销、优惠券、积分抽奖、砸金蛋、大转盘、满减满赠等 40+ 插件 **多端覆盖** 微信小程序、百度小程序、支付宝小程序、H5移动端、iOS APP、Android APP、PC端 ## 常见问题 ### Q: 是开源的吗？ A: 商业版本源码，不开源，提供完整源代码和文档，支持二次开发。 ### Q: 需要服务器吗？ A: 需要的。开源业务需要自备服务器 + 域名 + SSL证书。 ### Q: 有什么售后服务？ A: 提供一对一企业微信群服务，有技术人员实时对接。 --- **了解更多详情，欢迎添加微信咨询：13237476750** 📱


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zarruk/wa-relay-skill (version 0.2.1)

--- name: wa-relay description: "WhatsApp message relay for OpenClaw v0.2.0. Routes third-party DMs to a relay agent that forwards them to the main agent via sessions_send. The main agent notifies the owner with a suggested response. Supports direct number allowlists." --- # wa-relay v0.2.0 Routes third-party WhatsApp DMs through a relay agent that forwards messages to the main agent via `sessions_send`. The main agent notifies the owner and proposes a response. ## How It Works 1. **Third-party** sends a WhatsApp message 2. **Relay agent** receives it, forwards via `sessions_send` to the main agent session, and responds `NO_REPLY` (nothing sent back to the sender) 3. **Main agent** receives the inter-session message, notifies the **owner** on WhatsApp with the message and a suggested response 4. **Owner** decides: use the suggestion, modify it, or write something else 5. **Main agent** sends the response to the third party ### Direct number allowlist Numbers in the allowlist bypass the relay entirely and go straight to the main agent (same as the owner). ## Setup 1. Run `scripts/setup.sh <owner-phone-number>` — creates relay workspace, patches main agent SOUL.md 2. Run `scripts/configure.sh <owner-phone-number> [direct-numbers]` — generates routing config 3. Apply the generated config (see `references/SETUP.md`) ## Requirements - OpenClaw v2026.2.14+ with WhatsApp channel configured - Owner's phone number in international format (e.g. `+573001234567`) ## Security Notes This skill performs two actions that require elevated access. Both are necessary for multi-agent WhatsApp routing to work and are explained here for transparency: ### 1. Auth credential sharing The setup script copies `auth-profiles.json` from the main agent to the relay agent. This is required because OpenClaw agents have isolated auth — without shared credentials, the relay agent cannot authenticate with any model provider and will silently fail. The script asks for confirmation before copying. ### 2. Session ID regex patch (temporary) OpenClaw's session ID validator rejects `:` and `+` characters that WhatsApp phone-number routing generates (e.g. `agent:wa-relay:whatsapp:+15551234567`). The setup script patches the `SAFE_SESSION_ID_RE` regex in OpenClaw's dist files to allow these characters. This is a known bug (openclaw/openclaw#16211) with an open fix (PR #16531). Once merged, this patch becomes unnecessary and can be reverted. The script creates `.bak` backups and asks for confirmation before patching. ### 3. Main agent SOUL.md modification The setup script appends a "Relay de WhatsApp" section to the main agent's SOUL.md so it knows how to handle forwarded messages. Review the added section after setup.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)
Skill: 892153301/ai-video-workflow (version 1.0.0)

--- name: ai-video-workflow description: | AI视频完整制作工作流技能。适用于： 1. 用户要求"制作AI视频"、"做AI视频"、"AI视频创作" 2. 用户提到"视频工作流"、"视频制作流程" 3. 用户需要AI视频制作的系统化指导 核心：七步流程 + 打磨检查贯穿每步 + 提示词模板 --- # AI视频制作工作流 > 版本：v5.0 精简版 > 基于：v4.2 完整版 ## 触发场景 当用户有以下需求时自动执行： - "帮我制作一个AI视频" - "怎么做AI视频" - "从剧本开始制作视频" - "AI视频工作流" ## 核心架构 | 角色 | 功能 | |------|------| | **导演** | 审美准入，设计叙事，掌控情绪，决策风格 | | **技术制片** | 提供提示词模板、监控进度、执行生成 | ## 七步制作流程 | 步骤 | 内容 | 输出 | |------|------|------| | 1 | 剧本/想法分析 | 主题确定 | | 2 | 风格设计 | 视觉风格文档 | | 3 | 分镜设计 | 分镜脚本（景别/角度/运镜/台词） | | 4 | 生图 | 关键帧图片 | | 5 | 图生视频 | AI生成视频片段 | | 6 | 剪辑 | 剪映Pro剪辑成片 | | 7 | 配音/音效 | 完整作品 | ## 导演四维度 1. **视听语言**：焦距塑造空间，光影叙事心理 2. **导演公式**：角色基准图 + 分镜脚本 3. **美学风格**：参考经典（胡金铨/塔可夫斯基等） 4. **剪辑思维**：Match Cut / 节奏控制 ## 提示词模板 见 `references/提示词设计指南.md` ## 风格设计 见 `references/风格设计指南.md` ## 导演思维公式 见 `references/导演思维公式.md` ## 一致性保障 见 `references/一致性指南.md` ## 声音设计 见 `references/声音设计指南.md` ## 详细指南 完整的制作指南、教学案例、模板库存放在： - `references/` 目录下各专项指南 - `思维导图.md` 完整知识导图


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: dagangtj/multi-bounty-scanner (version 1.0.0)

# Multi-Platform Bounty Scanner ## Overview Automatically scan 50+ bug bounty and OSS bounty platforms for new opportunities. Save hours of manual searching. ## When to use Use this skill when: - You want to find new bounty opportunities across multiple platforms - You need to automate daily bounty scanning - You want to filter bounties by tech stack, reward, or difficulty - You're tired of manually checking 50+ websites ## Installation ```bash clawhub install multi-bounty-scanner ``` Or manually: ```bash cd ~/.openclaw/workspace/skills/multi-bounty-scanner chmod +x scanner.js npm link ``` ## Usage ### Basic scan ```bash bounty-scan ``` ### Filter by tech stack ```bash bounty-scan --tech javascript,python,rust ``` ### Filter by minimum reward ```bash bounty-scan --min-reward 100 ``` ### Export to JSON ```bash bounty-scan --output bounties.json ``` ### OpenClaw integration Add to cron for daily automated scanning: ```bash openclaw cron add \ --name "Daily Bounty Scan" \ --every 24h \ --session isolated \ --message "Run: cd ~/.openclaw/workspace/skills/multi-bounty-scanner && node scanner.js" ``` ## Configuration Create `~/.bounty-scanner/config.json`: ```json { "filters": { "techStack": ["javascript", "python", "rust"], "minReward": 50, "platforms": ["github", "code4rena", "immunefi"] } } ``` ## Supported Platforms Currently implemented: - ✅ GitHub (with bounty label) Coming soon: - Code4rena - Immunefi - HackerOne - Bugcrowd - Intigriti - Algora.io - And 40+ more ## Output The scanner tracks seen bounties and only shows new ones. Results include: - Title - Platform - Reward amount - Tech stack - URL - Description ## Requirements - Node.js 18+ - GitHub CLI (`gh`) for GitHub scanning ## Pricing - **Free**: GitHub scanning only - **Pro ($5/month)**: All 50+ platforms (coming soon) ## Support Issues: https://github.com/your-repo/issues ## License MIT


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zhaobod1/huo15-openclaw-memory-curator (version 1.1.1)

--- name: huo15-openclaw-memory-curator version: 1.1.0 description: "记忆整理技能 — 审查结构化记忆，提取洞察，更新 MEMORY.md，清理过期条目。" homepage: https://github.com/zhaobod1/huo15-openclaw-enhance metadata: { "openclaw": { "emoji": "🧠", "requires": { "bins": [] } } } --- # 记忆整理 (Memory Curator) 定期整理和优化结构化记忆系统。 ## 使用时机 ✅ **使用此技能当：** - "整理一下记忆"、"清理过期记忆" - 定期维护（建议每周一次） - 记忆条目数量过多需要精简 - 需要从记忆中提取总结更新到 MEMORY.md ## 整理流程 ### 1. 审查当前状态 ``` 调用 enhance_memory_review action=stats 查看各类别统计 调用 enhance_memory_review action=recent limit=30 查看最近记忆 ``` ### 2. 清理过期/无效记忆 检查每条记忆是否仍然有效： - **project 类**: 项目状态可能已变化，验证后决定保留或删除 - **feedback 类**: 用户反馈通常长期有效，谨慎删除 - **user 类**: 用户信息通常稳定，少量更新 - **reference 类**: 链接/资源可能已过期，检查后决定 - **decision 类**: 决策通常长期有效，除非被推翻 ``` 调用 enhance_memory_review action=delete id=<过期记忆ID> ``` ### 3. 合并重复记忆 如果多条记忆说的是同一件事： 1. 创建一条更完整的合并记忆 2. 删除旧的重复条目 ### 4. 同步到 MEMORY.md 将最重要的结构化记忆摘要写入 MEMORY.md： - 只写长期有效、高重要性的内容 - 按类别组织 - 保持简洁 ### 5. 输出整理报告 ``` ## 记忆整理报告 ### 统计 - 整理前: XX 条 - 删除: X 条（原因: ...） - 合并: X 条 → X 条 - 新增: X 条 - 整理后: XX 条 ### 操作记录 1. 删除 #12: 过期的项目截止日期 2. 合并 #15 + #18 → #23: 用户偏好 3. ... ### MEMORY.md 更新 [是否更新了 MEMORY.md，更新了什么] ``` ## 核心原则 - **保守删除** — 不确定就保留，宁多勿少 - **feedback 最珍贵** — 用户反馈是最难重新获取的记忆类型 - **验证后再删** — 对 project 类记忆，先确认项目状态再决定 - **MEMORY.md 是精华** — 只把最重要的同步过去，不要全量复制


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: jamesjohnfox/tradekix (version 1.0.0)

--- name: tradekix description: Query financial market data via the Tradekix API — stock prices, crypto, forex, indices, market news, earnings, economic events, Congressional trades, and social sentiment. Use when the user asks about markets, stock prices, trading data, economic calendars, or financial news. Also handles API key signup and upgrade to Pro. --- # Tradekix Financial data API for AI agents. Free tier: 10 calls/day. ## Setup Check for existing config: ```bash cat ~/.config/tradekix/config.json 2>/dev/null ``` If no config exists, sign up automatically: ```bash bash SKILL_DIR/scripts/tradekix.sh signup --name "AGENT_NAME" --email "AGENT_EMAIL" ``` This stores the API key in `~/.config/tradekix/config.json`. ## Usage Run via the wrapper script. All commands auto-load the API key from config. ```bash # Market overview (stocks, crypto, forex, commodities) bash SKILL_DIR/scripts/tradekix.sh market # Specific stock/crypto prices bash SKILL_DIR/scripts/tradekix.sh prices AAPL,TSLA,BTC # Global indices bash SKILL_DIR/scripts/tradekix.sh indices # Forex rates bash SKILL_DIR/scripts/tradekix.sh forex # Market news summaries bash SKILL_DIR/scripts/tradekix.sh news # Latest alerts bash SKILL_DIR/scripts/tradekix.sh alerts # Economic calendar bash SKILL_DIR/scripts/tradekix.sh economic # Earnings calendar bash SKILL_DIR/scripts/tradekix.sh earnings # Social sentiment bash SKILL_DIR/scripts/tradekix.sh sentiment # Market tweets bash SKILL_DIR/scripts/tradekix.sh tweets # Congressional trades (with conflict detection) bash SKILL_DIR/scripts/tradekix.sh trades # Upgrade to Pro ($9/mo or $89/yr — 2000 calls/day) bash SKILL_DIR/scripts/tradekix.sh upgrade monthly # Revoke API key bash SKILL_DIR/scripts/tradekix.sh revoke ``` ## Endpoint Selection Guide | User asks about... | Command | |---|---| | General market conditions | `market` | | Specific stock/crypto price | `prices SYMBOL` | | Market indices (S&P, NASDAQ) | `indices` | | Currency exchange rates | `forex` | | Financial news | `news` | | Price alerts, market moves | `alerts` | | Fed meetings, CPI, jobs data | `economic` | | Company earnings dates | `earnings` | | Market sentiment, social buzz | `sentiment` or `tweets` | | Politician/Congress trades | `trades` | ## Response Format All responses return `{"success":true,"data":{...},"meta":{...}}`. Parse `data` for results. Check `meta.rate_limit_remaining` to track usage. ## Rate Limits - **Free:** 10 calls/day, 5/min - **Pro:** 2,000 calls/day, 60/min ($9/mo or $89/yr) - **Enterprise:** 50,000 calls/day — contact [REDACTED_SECRET] When rate limited (HTTP 429), check `Retry-After` header. ## Full API Reference See [references/api-docs.md](references/api-docs.md) for complete endpoint documentation.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)
Skill: whille/minimax-tts-cn (version 1.0.0)

--- name: MiniMax TTS description: 调用 MiniMax 语音合成 API 生成语音。支持系统音色、克隆音色、流式/非流式输出。使用场景：用户需要生成高质量中文语音、语音合成、文本转语音。 homepage: https://platform.minimax.io/docs/api-reference/speech-t2a-http metadata: openclaw: emoji: 🎙️ requires: bins: [python3] env: [MINIMAX_API_KEY] pip: [requests] primaryEnv: MINIMAX_API_KEY envHelp: MINIMAX_API_KEY: required: true description: MiniMax API Key howToGet: 1. 打开 https://platform.minimax.io 2. 注册账号并登录 3. 获取 API Key（账户管理 → API Keys） url: https://platform.minimax.io --- # MiniMax TTS Skill 调用 MiniMax TTS API 生成语音。 ## 配置 设置环境变量： ```bash export MINIMAX_API_KEY="your-api-key" ``` ## 使用方式 ### 命令行 ```bash python3 ~/.openclaw/workspace/skills/minimax-tts/scripts/tts.py "要转语音的文本" ``` ### 参数选项 | 参数 | 说明 | 默认值 | |------|------|--------| | `--text` | 要转语音的文本 | 必填 | | `--model` | 模型 | speech-2.8-turbo | | `--voice` | 音色ID | Chinese_Male_Adult | | `--speed` | 语速 | 1.0 | | `--format` | 音频格式 | mp3 | | `--output` | 输出文件 | output.mp3 | ### 示例 ```bash # 基本用法 python3 ~/.openclaw/workspace/skills/minimax-tts/scripts/tts.py "你好世界" # 指定音色和模型 python3 ~/.openclaw/workspace/skills/minimax-tts/scripts/tts.py "你好世界" --voice Chinese_Female_Adult --model speech-2.8-hd # 保存到指定文件 python3 ~/.openclaw/workspace/skills/minimax-tts/scripts/tts.py "测试语音" --output test.mp3 ``` ## 可用音色 调用 `get_voice` API 获取当前账号下所有音色： ```bash python3 ~/.openclaw/workspace/skills/minimax-tts/scripts/tts.py --list-voices ``` 常见系统音色： - `Chinese_Male_Adult` - 中文男声 - `Chinese_Female_Adult` - 中文女声 - `English_Male_Adult` - 英文男声 - `English_Female_Adult` - 英文女声 ## 支持的模型 | 模型 | 特点 | |------|------| | speech-2.8-hd | 最高质量，40+语言 | | speech-2.8-turbo | 低延迟 | | speech-2.6-hd | 高相似度 | | speech-2.6-turbo | 性价比高 |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mjquinlan2000/zoom-users-mcp (version 1.0.0)

--- name: zoom-users-mcp description: MCP server for the Zoom Users API. Exposes Zoom Users' REST API as read-only MCP tools. metadata: { "openclaw": { "requires": { "bins": ["mcporter", "zoom-users-mcp"], "env": ["NODE_MCP_SECRET_KEY"] } } } --- # Zoom Users MCP Server Read-only MCP server for the Zoom Users API. ## Usage Use mcporter to interact with this server via stdio: - **List available tools:** `mcporter list --stdio zoom-users-mcp` - **Call a tool:** `mcporter call --stdio zoom-users-mcp <tool_name> [args]` ## Links - **npm:** https://www.npmjs.com/package/@mjquinlan2000/zoom-users-mcp


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

--- name: "Styling" description: "提供专业穿搭、发型建议、化妆技巧及个人形象顾问筛选。 " --- # 变美造型 ## 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 变美造型 处理 [具体场景任务] ？” - “变美造型 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: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)