OpenClaw/clawhub-security-signals huggingface dataset:
Skill: wwfqls3w-cmd/cn-daily-briefing (version 1.1.0)

--- name: daily-briefing description: 每日简报生成器 - 自动收集新闻/热点/行业动态，生成结构化中文简报。适合每天早上运行获取当日信息摘要。 version: 1.0.0 metadata: openclaw: requires: bins: [curl] emoji: "📰" homepage: https://clawhub.ai/skills/cn-daily-briefing --- # 每日简报生成器 📰 自动收集多源信息，生成结构化中文简报，帮助快速了解当日重要新闻、行业动态和技术趋势。 ## 什么时候使用 - 每天早上需要快速了解当日重要新闻时 - 需要跟踪特定行业/领域的最新动态时 - 需要一份结构化的信息摘要用于团队分享或个人参考时 - 不想在大量信息源中手动筛选时 ## 核心能力 1. **多源信息聚合**：从主流新闻网站、技术社区、行业博客自动收集信息 2. **智能分类**：自动将信息分为时政要闻、科技动态、行业趋势、财经资讯等类别 3. **重点提炼**：提取每条信息的核心要点，避免冗长原文 4. **结构化输出**：生成层级分明的Markdown简报，便于阅读和分享 5. **个性化定制**：支持指定关注的领域、关键词和排除项 6. **真实数据抓取**：运行 `python scripts/fetch_news.py` 即可获取当日真实新闻数据（非模拟） ## 使用说明 ### 快速开始 用户可以说"给我今天的简报"或"生成一份今日科技简报"，助手会自动执行以下步骤： 1. 获取当前日期 2. 收集各信息源最新内容 3. 分类整理和提炼 4. 输出结构化简报 ### 详细工作流 当用户请求生成简报时，按以下流程执行： 1. **确定简报范围** - 确认用户是否指定了关注的领域（如科技、金融、医疗） - 确认时间范围（今日、本周、自定义） - 确认输出格式偏好（详细版、精简版） 2. **信息收集** - 使用 `curl` 或 `fetch` 获取各信息源的最新内容 - 信息源推荐：Hacker News、GitHub Trending、36氪、InfoQ、TechCrunch等 - 优先选择中文信息源 3. **内容筛选和分类** - 按相关性排序，过滤低质量或重复内容 - 分类标准： - 🔥 热门话题：当日讨论度最高的事件 - 🏢 行业动态：企业新闻、产品发布、融资事件 - 🔧 技术趋势：新框架、新技术、开源项目 - 💰 财经资讯：市场动态、经济政策 - 📅 时政要闻：重要政策法规变化 4. **内容提炼** - 每条信息提炼为：标题 + 一句话摘要 + 关键影响 - 保持客观中立，注明信息来源 - 每条不超过100字 5. **生成简报** - 使用统一的Markdown格式 - 包含日期、分类索引和内容汇总 ## 输出示例 ```markdown # 📰 每日简报 — 2026年5月21日 ## 🔥 热门话题 1. **OpenClaw 2.0 发布** — 新版本支持多Agent协作模式 影响：AI Agent开发门槛进一步降低 2. **腾讯推出SkillHub中文镜像** — SkillHub访问速度提升300% 影响：国内开发者使用ClawHub生态更方便 ## 🏢 行业动态 - **字节跳动发布豆包3.0** — 推理能力提升40% ## 🔧 技术趋势 - **Rust 2026 edition 草案公布** — 带来更好的异步支持 ``` ## 注意事项 - 信息源的可用性会影响简报质量，建议在可访问网络的环境下使用 - 简报内容仅供参考，重要决策前建议核实原始信息来源 - 如需跟踪特定领域，请明确告知关注的关键词


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: edwardrodriguez703-design/book-chiropractor (version 1.0.1)

--- name: book-chiropractor description: Book chiropractor services through Lokuli MCP. Use when user needs to find and book chiropractor. Triggers on requests like "book a chiropractor", "find chiropractor near me", or any chiropractor service request. --- # uook chiropractor Book chiropractor services through Lokuli's MCP server. ## MCP Endpoint ``` https://lokuli.com/mcp/sse ``` Transport: SSE | JSON-RPC 2.0 | POST requests ## Tools ### search ```json { "method": "tools/call", "params": { "name": "search", "arguments": { "query": "chiropractor", "zipCode": "90640", "maxResults": 20 } } } ``` ### check_availability ```json { "method": "tools/call", "params": { "name": "check_availability", "arguments": { "providerId": "xxx", "serviceId": "yyy", "date": "2025-02-10" } } } ``` ### create_booking ```json { "method": "tools/call", "params": { "name": "create_booking", "arguments": { "providerId": "xxx", "serviceId": "yyy", "timeSlot": "2025-02-10T14:00:00-08:00", "customerName": "John Doe", "customerEmail": "[REDACTED_SECRET]", "customerPhone": "+13105551234" } } } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: nexscope/amazon-return-reduction (version 1.0.0)

--- name: amazon-return-reduction description: "Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides" metadata: nexscope: category: amazon --- # Amazon Return Reduction Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides **Supported platforms:** Amazon (US, UK, DE, CA, JP, AU, and all marketplaces). Built by [Nexscope](https://www.nexscope.ai/) — your AI assistant for smarter e-commerce decisions. ## Install ```bash npx skills add nexscope/amazon-return-reduction ``` ## Usage ``` Help me with amazon return reduction for my e-commerce business. ``` ## Capabilities - Return rate reduction - root cause analysis - listing accuracy - packaging improvements - size guides ## How This Skill Works **Step 1:** Collect information from the user's message — product, platform, current situation, and goals. **Step 2:** Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a"). **Step 3:** Research and analyze using the frameworks and methodology below. **Step 4:** Deliver structured, actionable output with specific recommendations, not vague advice. ## Output Format - Start with a summary of findings - Include specific data points and benchmarks where available - Provide prioritized action items - Mark estimates with ⚠️ when based on incomplete data - End with concrete next steps ## Other Skills More e-commerce skills: [nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills) Built by [Nexscope](https://www.nexscope.ai/) — your AI assistant for smarter e-commerce decisions.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: daniellummis/github-actions-failure-spike-audit (version 1.0.0)

--- name: github-actions-failure-spike-audit description: Detect sudden GitHub Actions failure-rate spikes by workflow group using recent-vs-baseline run windows. version: 1.0.0 metadata: {"openclaw":{"requires":{"bins":["bash","python3"]}}} --- # GitHub Actions Failure Spike Audit Use this skill to catch workflows that recently degraded (new flaky tests, broken deploy gates, bad dependency updates, or infra outages) before they become long-running incidents. ## What this skill does - Reads GitHub Actions run JSON exports - Groups by repository + workflow + branch + event - Splits each group into **recent** runs and **baseline** history - Compares recent failure rate to baseline failure rate - Scores severity (`ok`, `warn`, `critical`) using spike + recent failure rate gates - Emits text or JSON output for CI automation ## Inputs Optional: - `RUN_GLOB` (default: `artifacts/github-actions/*.json`) - `TOP_N` (default: `20`) - `OUTPUT_FORMAT` (`text` or `json`, default: `text`) - `RECENT_RUNS` (default: `4`) - `MIN_RECENT_RUNS` (default: `3`) - `MIN_BASELINE_RUNS` (default: `4`) - `WARN_SPIKE_PCT` (default: `15`) - `CRITICAL_SPIKE_PCT` (default: `30`) - `WARN_RECENT_FAILURE_RATE` (default: `25`) - `CRITICAL_RECENT_FAILURE_RATE` (default: `45`) - `WORKFLOW_MATCH` (regex, optional) - `WORKFLOW_EXCLUDE` (regex, optional) - `BRANCH_MATCH` (regex, optional) - `BRANCH_EXCLUDE` (regex, optional) - `EVENT_MATCH` (regex, optional) - `EVENT_EXCLUDE` (regex, optional) - `REPO_MATCH` (regex, optional) - `REPO_EXCLUDE` (regex, optional) - `FAIL_ON_CRITICAL` (`0` or `1`, default: `0`) ## Collect run JSON ```bash gh run view <run-id> --json databaseId,workflowName,event,conclusion,headBranch,headSha,createdAt,updatedAt,startedAt,url,repository \ > artifacts/github-actions/run-<run-id>.json ``` ## Run Text report: ```bash RUN_GLOB='artifacts/github-actions/*.json' \ RECENT_RUNS=8 \ WARN_SPIKE_PCT=12 \ bash skills/github-actions-failure-spike-audit/scripts/failure-spike-audit.sh ``` JSON output + fail gate: ```bash RUN_GLOB='artifacts/github-actions/*.json' \ OUTPUT_FORMAT=json \ FAIL_ON_CRITICAL=1 \ bash skills/github-actions-failure-spike-audit/scripts/failure-spike-audit.sh ``` Run against bundled fixtures: ```bash RUN_GLOB='skills/github-actions-failure-spike-audit/fixtures/*.json' \ bash skills/github-actions-failure-spike-audit/scripts/failure-spike-audit.sh ``` ## Output contract - Exit `0` in report mode (default) - Exit `1` when `FAIL_ON_CRITICAL=1` and one or more groups are critical - Text mode prints summary + ranked failure-rate spike groups - JSON mode prints summary + ranked groups + critical groups


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: peytoncasper/browser-automation (version 1.0.1)

--- name: browser description: Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications. allowed-tools: Bash --- # Browser Automation Automate browser interactions using Stagehand CLI with Claude. ### First: Environment Selection (Local vs Remote) The skill automatically selects between local and remote browser environments: - **If Browserbase API keys exist** (BROWSERBASE_API_KEY and BROWSERBASE_PROJECT_ID in .env file): Uses remote Browserbase environment - **If no Browserbase API keys**: Falls back to local Chrome browser - **No user prompting**: The selection happens automatically based on available configuration ## Setup (First Time Only) Check `setup.json` in this directory. If `setupComplete: false`: ```bash npm install # Install dependencies npm link # Create global 'browser' command ``` ## Commands All commands work identically in both modes: ```bash browser navigate <url> # Go to URL browser act "<action>" # Natural language action browser extract "<instruction>" ['{}'] # Extract data (optional schema) browser observe "<query>" # Discover elements browser screenshot # Take screenshot browser close # Close browser ``` ## Quick Example ```bash browser navigate https://example.com browser act "click the Sign In button" browser extract "get the page title" browser close ``` ## Mode Comparison | Feature | Local | Browserbase | |---------|-------|-------------| | Speed | Faster | Slightly slower | | Setup | Chrome required | API key required | | Stealth mode | No | Yes | | Proxy/CAPTCHA | No | Yes | | Best for | Development | Production/scraping | ## Best Practices 1. **Always navigate first** before interacting 2. **View screenshots** after each command to verify 3. **Be specific** in action descriptions 4. **Close browser** when done ## Troubleshooting - **Chrome not found**: Install Chrome or use Browserbase mode - **Action fails**: Use `browser observe` to discover available elements - **Browserbase fails**: Verify API key and project ID are set For detailed examples, see [EXAMPLES.md](EXAMPLES.md). For API reference, see [REFERENCE.md](REFERENCE.md).


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (MEDIUM)
Skill: amdf01-debug/sw-popup-cro (version 1.0.0)

# Popup CRO Skill ## Trigger Design high-converting popups — exit intent, scroll-triggered, timed. **Trigger phrases:** "popup design", "exit intent popup", "email capture popup", "popup copy", "popup strategy" ## Popup Types ### Exit Intent - Trigger: mouse moves toward browser close/back - Use for: lead capture, discount offer, content upgrade - Conversion rate benchmark: 2-4% ### Scroll-Triggered - Trigger: user scrolls past X% of page - Use for: content upgrades, newsletter signup - Recommended trigger: 50-70% scroll depth ### Timed - Trigger: X seconds on page - Use for: announcements, special offers - Recommended delay: 30-60 seconds ### Click-Triggered - Trigger: user clicks specific element - Use for: content upgrades, gated resources - Highest quality leads — they opted in voluntarily ## Design Rules - One clear CTA. One offer. One action. - Easy to close (visible X, click outside to dismiss) - Mobile: use bottom bar instead of overlay popup - Frequency: max once per session, or once per 7 days - Copy: headline (5-8 words) + 1-2 lines of value prop + CTA button - Never interrupt a conversion flow with a popup ## Output Complete popup specification: trigger rules, copy (headline + body + CTA), design guidance, targeting rules, frequency caps.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: googleworkspace-bot/persona-hr-coordinator (version 1.0.12)

--- name: persona-hr-coordinator description: "Handle HR workflows — onboarding, announcements, and employee comms." metadata: version: 0.22.5 openclaw: category: "persona" requires: bins: - gws skills: - gws-gmail - gws-calendar - gws-drive - gws-chat --- # HR Coordinator > **PREREQUISITE:** Load the following utility skills to operate as this persona: `gws-gmail`, `gws-calendar`, `gws-drive`, `gws-chat` Handle HR workflows — onboarding, announcements, and employee comms. ## Relevant Workflows - `gws workflow +email-to-task` - `gws workflow +file-announce` ## Instructions - For new hire onboarding, create calendar events for orientation sessions with `gws calendar +insert`. - Upload onboarding docs to a shared Drive folder with `gws drive +upload`. - Announce new hires in Chat spaces with `gws workflow +file-announce` to share their profile doc. - Convert email requests into tracked tasks with `gws workflow +email-to-task`. - Send bulk announcements with `gws gmail +send` — use clear subject lines. ## Tips - Always use `--sanitize` for PII-sensitive operations. - Create a dedicated 'HR Onboarding' calendar for tracking orientation schedules.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: colaliang/yundian-woo-importer (version 1.0.0)

--- name: yundian-woo-importer description: Import products from Shopify, Wix, WordPress, and Amazon directly into WooCommerce via natural language. version: 1.0.0 metadata: { "openclaw": { "requires": { "env": ["YUNDIAN_WOO_IMPORTER_API_KEY"], "bins": ["node", "npm", "npx"] }, "primaryEnv": "YUNDIAN_WOO_IMPORTER_API_KEY", "emoji": "🛍️", "homepage": "https://ydplus.net", "install": "npm install" } } --- # Yundian+ WooCommerce Importer Skill This skill enables your OpenClaw agent to seamlessly import products from various e-commerce platforms (Shopify, Wix, WordPress, Amazon) directly into a WooCommerce store using the Yundian+ API and MCP Server. ## Setup Since this skill relies on an underlying MCP server, you need to configure your OpenClaw settings to point to it. Add the following to your OpenClaw MCP configuration (`~/.openclaw/config.json`): ```json { "mcpServers": { "yundian-woo-importer": { "command": "npx", "args": ["-y", "tsx", "{baseDir}/mcp-server.ts"], "env": { "YUNDIAN_WOO_IMPORTER_API_KEY": "${YUNDIAN_WOO_IMPORTER_API_KEY}", "YUNDIAN_WOO_IMPORTER_API_URL": "https://ydplus.net" } } } } ``` ## Available Tools The bundled MCP server exposes the following tools to the agent: ### 1. `import_products` Queue products for import from a source platform to WooCommerce. - **Parameters**: - `platform` (string, required): The source platform. Enum: `shopify`, `wix`, `wordpress`, `amazon`. - `shopifyBaseUrl` (string): Required if platform is `shopify`. (e.g., `https://example.myshopify.com`) - `wixUrl` (string): Required if platform is `wix`. - `productLinks` (array of strings): List of product URLs or handles to import. - `mode` (string): Set to `all` to discover and import all products (Supported for Shopify only). ### 2. `check_import_status` Check the status and results of an ongoing or completed import job. - **Parameters**: - `requestId` (string, required): The unique request ID returned when `import_products` was successfully called. ## Agent Instructions When the user asks you to import products: 1. **Identify Requirements**: Determine the source platform (Shopify, Wix, WordPress, or Amazon) and the target URLs from the user's prompt. 2. **Execute Import**: Call the `import_products` tool with the appropriate parameters. Ensure you provide the necessary base URL or specific product links. 3. **Report Status**: Once the import is successfully queued, provide the user with the `requestId`. 4. **Follow-up**: If the user asks for an update on the import, or if you want to verify completion, use the `check_import_status` tool with the `requestId` to fetch the latest progress, including how many products were successfully imported or failed. ## Error Handling - If you receive an "Unauthorized" error, inform the user that their `YUNDIAN_WOO_IMPORTER_API_KEY` might be invalid or expired. - If credits are insufficient, prompt the user to recharge their account on the Yundian+ dashboard.


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: lbl581581/nasdaq100-futures (version 1.0.4)

--- name: nasdaq100-futures-node description: Fetch the latest Nasdaq-100 futures quote (default NQ=F) via Yahoo Finance chart API using Node.js and return price, change, percent change, and timestamp. Use when the user asks for Nasdaq-100 futures, NQ futures, NQ=F, 纳指100期货, or wants the latest quote and change metrics. --- # Nasdaq-100 Futures Quote (Node.js) ## Quick Start This is an OpenClaw/ClawHub-style **Node.js** skill. The runtime entrypoint is `scripts/main.handler` (see `manifest.json`), and the exposed function is `get_nasdaq100_futures`. Use this skill when you need the **latest** quote for Nasdaq-100 futures (or another Yahoo Finance symbol), including: - **regularMarketPrice** - **previousClose** - **change** and **changePercent** - **timestamp** (formatted) ## How to Call Call the function `get_nasdaq100_futures` (as declared in `manifest.json`) with optional parameters: - **symbol** (string, optional): Yahoo Finance symbol. Default is `NQ=F` (Nasdaq-100 futures). ### Invocation Contract (Agent skill calling shape) The handler expects the OpenClaw event shape (function parameters wrapped under `parameters`): ```json { "parameters": { "symbol": "NQ=F" } } ``` If `parameters.symbol` is omitted, it defaults to `NQ=F`. ## Output On success, returns a JSON object with these keys: - **symbol**: the requested symbol (e.g. `NQ=F`) - **price**: latest price (string, 2 decimals) - **change**: price change vs previous close (string, signed, 2 decimals) - **changePercent**: percent change vs previous close (string, signed, 2 decimals) - **time**: formatted timestamp string - **message**: human-readable Chinese summary On failure, returns: - **error**: true - **message**: error message ## Examples ### Example: Default Nasdaq-100 futures Input: ```json { "parameters": {} } ``` Output (example): ```json { "symbol": "NQ=F", "price": "15780.50", "change": "+120.25", "changePercent": "+0.77", "time": "2025-06-10 14:30:00", "message": "纳斯达克100期货最新价: $15780.50 (+120.25 / +0.77%) 数据时间: 2025-06-10 14:30:00" } ``` ### Example: Custom symbol Input: ```json { "parameters": { "symbol": "ES=F" } } ``` ## Notes - Data source is Yahoo Finance chart API (`query1.finance.yahoo.com`). Results depend on market hours and network availability. - Requires Node.js **>= 18** (uses built-in `fetch`). - If you need a different data provider, adjust `scripts/main.js` accordingly. ## Additional resources - OpenClaw runtime details: [references/openclaw.md](references/openclaw.md)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: q878787/111132232 (version 1.0.0)

--- name: aa description: aa --- This skill helps you discover and install skills from the open agent skills ecosystem. ## When to Use This Skill Use this skill when the user: - Asks "how do I do X" where X might be a common task with an existing skill - Says "find a skill for X" or "is there a skill for X" - Asks "can you do X" where X is a specialized capability - Expresses interest in extending agent capabilities - Wants to search for tools

path: scripts/aa.py
content: 12312312

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: szzg007/szzg007-product-analyzer (version 1.0.0)

# szzg007-product-analyzer - 产品卖点分析专家 **版本:** 1.0 **创建日期:** 2026-03-30 **作者:** MOSSRIVER 团队 --- ## 技能描述 深度分析产品特性，提取核心卖点，生成差异化竞争优势报告。专为跨境电商 B2B 批发场景设计。 --- ## 核心功能 ### 1. 产品特性分析 - 输入产品参数/图片/描述 - 提取物理特性（材质、尺寸、重量、颜色） - 提取功能特性（用途、场景、优势） - 提取情感特性（设计感、价值观、故事） ### 2. 卖点提炼 - **功能卖点** - 解决什么痛点 - **情感卖点** - 满足什么渴望 - **社会卖点** - 带来什么身份认同 - **经济卖点** - 创造什么价值 ### 3. 竞品对比 - 识别直接竞品 - 对比核心参数 - 找出差异化优势 - 生成对比话术 ### 4. 目标客户匹配 - B2B 批发商关注点 - 零售商关注点 - 终端消费者关注点 - 生成分层话术 --- ## 使用场景 | 场景 | 输入 | 输出 | |------|------|------| | 新品上架 | 产品参数 + 图片 | 卖点清单 + 话术 | | 邮件营销 | 产品链接 | 营销文案 | | 客户询价 | 客户类型 + 产品 | 针对性报价话术 | | 竞品分析 | 竞品链接 | 对比报告 | --- ## 触发词 ``` "分析这个产品的卖点" "提取产品优势" "这个产品怎么推销" "竞品对比分析" "生成产品话术" "产品差异化在哪里" "szzg007 产品分析" ``` --- ## 使用方法 ### 基础用法 ``` 分析这个产品的卖点：[产品链接/描述] ``` ### 高级用法 ``` 分析这个产品的卖点：[产品链接] - 目标客户：B2B 批发商 - 对比竞品：[竞品链接] - 输出格式：邮件话术 ``` --- ## 输出模板 ```markdown # 产品卖点分析报告 ## 产品基本信息 - 产品名称：XXX - 价格区间：$XX-$XX - 目标市场：US/UK/AU/CA ## 核心卖点 (按优先级) ### 🎯 功能卖点 1. [卖点 1] - 解决 [痛点] 2. [卖点 2] - 带来 [价值] ### 💝 情感卖点 1. [卖点 1] - 满足 [渴望] ### 💰 经济卖点 1. [卖点 1] - 毛利 XX% ## 竞品对比 | 特性 | 本产品 | 竞品 A | 优势 | |------|--------|--------|------| | 价格 | $XX | $XX | ✅ 低 15% | | 材质 | PC | ABS | ✅ 更耐用 | ## 推荐话术 ### B2B 批发商版本 "这款产品的核心优势是..." ### 零售商版本 "您的顾客会喜欢..." ### 终端消费者版本 "想象一下..." ``` --- ## 配置说明 ### 环境变量 (可选) ```bash # Tavily API (用于竞品搜索) TAVILY_API_KEY=your_key # 输出语言 PRODUCT_ANALYZER_LANG=zh-CN ``` ### 工作空间 ``` ~/.openclaw/workspace/skills/szzg007-product-analyzer/ ├── SKILL.md ├── templates/ # 输出模板 ├── examples/ # 分析案例 └── scripts/ └── analyze.py # 分析脚本 ``` --- ## 示例 ### 示例 1: 收纳盒分析 **输入:** ``` 分析这个产品的卖点：Clear PC Storage Box with Colorful Trays 价格：$45.99 材质：透明 PC 特点：可堆叠、彩色托盘 ``` **输出:** ```markdown # QB2 收纳盒卖点分析 ## 核心卖点 1. **彩色差异化** - 市场少见彩色收纳盒 2. **可堆叠设计** - 节省 50% 空间 3. **透明 PC 材质** - 耐用且美观 4. **批发毛利 50%+** - B2B 客户高利润 ## B2B 话术 "这款彩色收纳盒是我们的独家设计，市场上很少见。可堆叠设计帮助您的顾客节省空间，透明 PC 材质保证耐用性。批发价$45.99，建议零售价$89.99，毛利 50%+。" ``` --- ## 与其他技能协作 | 技能 | 协作方式 | |------|---------| | szzg007-talktrack-library | 输出卖点 → 生成话术 | | szzg007-email-business-manager | 输出卖点 → 邮件模板 | | szzg007-web-deep-research | 输入竞品链接 → 对比分析 | --- _此技能专为 MOSSRIVER 跨境电商设计，持续优化中。_


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

--- name: botcall description: Phone numbers for AI agents. Provision numbers, receive SMS, extract verification codes. Use when you need to sign up for services, receive 2FA codes, or handle phone verification. homepage: https://botcall.io metadata: clawdbot: emoji: "📱" requires: env: [BOTCALL_API_KEY] bins: [botcall] primaryEnv: BOTCALL_API_KEY install: - id: botcall-cli kind: node package: botcall bins: [botcall] label: Install botcall CLI (npm) --- # botcall - Phone Numbers for AI Agents Provision phone numbers and receive SMS verification codes. ## Setup 1. Get an API key at https://botcall.io 2. Authenticate: ```bash botcall auth login --api-key bs_live_YOUR_KEY ``` ## Commands ### Check your plan and usage ```bash botcall usage ``` ### Provision a phone number ```bash botcall provision botcall provision --area-code 206 # Seattle area code ``` ### List your numbers ```bash botcall list ``` ### View received messages ```bash botcall inbox botcall inbox --limit 20 ``` ### Wait for verification code ```bash botcall get-code # Wait up to 120s botcall get-code --timeout 60 # Custom timeout ``` Returns just the code (e.g., `847291`) for easy parsing. ### Release a number ```bash botcall release <number-id> ``` ### Upgrade plan ```bash botcall upgrade starter # $9/mo - 1 number, 100 SMS botcall upgrade pro # $29/mo - 5 numbers, 500 SMS ``` ### Manage billing ```bash botcall billing # Opens Stripe portal ``` ## Example: Sign up for a service ```bash # 1. Get a number botcall provision --area-code 415 # Output: +14155551234 # 2. Use number to sign up (your agent does this) # 3. Wait for verification code CODE=$(botcall get-code --timeout 120) echo "Code received: $CODE" # 4. Enter code to complete signup ``` ## MCP Integration For Claude Desktop/Cursor, add to your MCP config: ```json { "mcpServers": { "botcall": { "command": "npx", "args": ["@botcallio/mcp"], "env": { "BOTCALL_API_KEY": "bs_live_YOUR_KEY" } } } } ``` ## Pricing - **Free**: No numbers (signup only) - **Starter** ($9/mo): 1 number, 100 SMS - **Pro** ($29/mo): 5 numbers, 500 SMS ## Links - Website: https://botcall.io - npm CLI: https://www.npmjs.com/package/botcall - MCP: https://www.npmjs.com/package/@botcallio/mcp


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