OpenClaw/clawhub-security-signals huggingface dataset:
Skill: lj22503/duan-yongping-investor (version 2.0.0)

--- name: duan-yongping-investor version: 2.0.0 description: ［何时使用］当用户需要分析企业文化和商业模式时；当用户问"段永平怎么看这家公司"时；当需要进行本分/能力圈/长期主义分析时 author: 燃冰 + 小蚂蚁 created: 2026-03-13 updated: 2026-03-19 skill_type: 核心 related_skills: [moat-evaluator, value-analyzer, decision-checklist, stock-picker] tags: [段永平，本分，能力圈，长期主义，价值投资] --- # 段永平投资智慧 🧘 **基于段永平（步步高、OPPO、vivo 创始人）投资理念** --- ## 📋 功能描述 基于段永平投资理念分析企业，强调"本分"、"能力圈"、"长期主义"。 **适用场景：** - 企业文化分析 - 商业模式评估 - 能力圈检查 - 长期投资价值判断 **边界条件：** - 不替代深入研究 - 需配合财务分析 - 文化分析主观性强 - 需长期跟踪验证 --- ## 🎯 核心理念 ### 段永平投资三原则 **1. 本分（40%）** - 做对的事情 - 把事情做对 - 诚信为本 **2. 能力圈（30%）** - 只投资自己懂的公司 - 不懂不投 - 持续学习扩大能力圈 **3. 长期主义（30%）** - 买入并持有 10 年+ - 忽视短期波动 - 关注长期价值 --- ## ⚠️ 常见错误 **错误 1：忽视企业文化** ``` 问题： • 只看财务数据 • 忽视企业文化 • 忽视管理层诚信 解决： ✓ 企业文化是核心 ✓ 关注"本分"程度 ✓ 长期跟踪验证 ``` **错误 2：能力圈外投资** ``` 问题： • 投资不懂的公司 • 盲目跟风 • 忽视能力圈边界 解决： ✓ 只投懂的公司 ✓ 持续学习 ✓ 承认无知 ``` **错误 3：短期思维** ``` 问题： • 频繁交易 • 忽视长期价值 • 被短期波动影响 解决： ✓ 长期持有 10 年+ ✓ 忽视短期波动 ✓ 关注基本面 ``` **错误 4：忽视商业模式** ``` 问题： • 忽视商业模式质量 • 投资辛苦赚钱的公司 • 忽视现金流 解决： ✓ 选择容易赚钱的生意 ✓ 关注现金流 ✓ 选择轻资产模式 ``` **错误 5：价格与价值混淆** ``` 问题： • 只看价格不看价值 • 好公司也要好价格 • 忽视安全边际 解决： ✓ 价值优先 ✓ 等待好价格 ✓ 保持耐心 ``` --- ## 🔗 相关资源 - `references/duan-principles.md` - 段永平投资原则详解 - `examples/apple-analysis.md` - 苹果案例分析 - `examples/kweichow-analysis.md` - 茅台案例分析 - `templates/culture-analysis-template.md` - 企业文化分析模板 --- ## 📊 输入参数 ```json { "company_name": { "type": "string", "required": true, "description": "公司名称" }, "business_model": { "type": "string", "required": true, "description": "商业模式描述" }, "culture_examples": { "type": "array", "items": {"type": "string"}, "required": false, "description": "企业文化案例列表" }, "competitive_advantage": { "type": "string", "required": true, "description": "竞争优势" }, "pe_ratio": { "type": "number", "required": false, "description": "市盈率" } } ``` --- ## 📤 输出格式 ```json { "status": "success", "data": { "business_model_analysis": { "score": 0, "max_score": 5, "assessment": "" }, "culture_analysis": { "benfen_score": 0, "max_score": 5, "assessment": "" }, "moat_analysis": { "exists": true, "type": "", "strength": 0 }, "valuation_analysis": { "pe_assessment": "低估 | 合理 | 高估", "recommendation": "" }, "investment_score": 0, "max_score": 10 } } ``` --- ## 🧪 使用示例 ### 示例：苹果公司分析 **输入：** ``` 公司名称：苹果 商业模式：硬件 + 软件 + 服务生态 企业文化案例： - 用户隐私保护 - 产品极致体验 - 长期研发投入 竞争优势：品牌 + 生态 + 技术 市盈率：25 ``` **输出：** ``` 【商业模式分析】 评分：5/5 理由： - 赚钱容易（高毛利） - 现金流充沛 - 轻资产模式 - 强定价权 【企业文化分析（本分检查）】 评分：5/5 理由： - 用户隐私保护（本分） - 产品极致体验（把事情做对） - 长期研发投入（长期主义） 【护城河分析】 存在：是 类型：品牌 + 网络效应 + 转换成本 强度：5/5 【估值分析】 PE: 25 vs 历史平均 20 → 合理 建议：观察 【综合评分】9/10 ``` --- ## 📚 核心理念 **关键洞察：** 1. 本分是企业文化核心 2. 只投懂的公司 3. 长期持有 10 年+ 4. 好生意赚钱容易 5. 价格围绕价值波动 **健康公式：** ``` 好投资 = 本分 × 能力圈 × 长期主义 ``` --- ## 🔗 相关文件 - `templates/culture-analysis-template.md` - 企业文化分析模板 - `examples/culture-examples.md` - 完整文化分析示例集 - `references/duan-principles.md` - 段永平投资原则参考 --- ## 更新日志 - v2.0.0 (2026-03-19): 按照 SKILL-STANDARD-v2.md 重构，添加 Front Matter、坑点章节、相关资源 🧘 - v1.0.0 (2026-03-13): 初始版本，段永平投资智慧上线 🧘 --- *本分是做对的事情，把事情做对。只投懂的公司，长期持有 10 年+。* 🧘


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: dtkien1802/k-test (version 1.0.0)

--- name: x-search description: Search X (Twitter) posts using the xAI API. Use when the user wants to find tweets, search X/Twitter, look up what people are saying on X, or find social media posts about a topic. homepage: https://docs.x.ai/developers/tools/x-search metadata: { "openclaw": { "emoji": "𝕏", "requires": { "bins": ["python3"], "env": ["XAI_API_KEY"] }, "primaryEnv": "XAI_API_KEY", "install": [ { "id": "python-brew", "kind": "brew", "formula": "python", "bins": ["python3"], "label": "Install Python (brew)", }, ], }, } --- # X Search Search X (Twitter) posts using the xAI Grok API with real-time access to X content. ## Setup 1. Get your API key: https://console.x.ai 2. Set environment variable: ```bash export XAI_API_KEY="xai-your-key-here" ``` 3. Or set `skills."x-search".apiKey` / `skills."x-search".env.XAI_API_KEY` in `~/.openclaw/openclaw.json` ## Usage ```bash python3 {baseDir}/scripts/search.py "what is trending in AI right now" ``` Useful flags: ```bash # Filter by handles (max 10) python3 {baseDir}/scripts/search.py --handles jaaneek,OpenClaw "latest posts" # Exclude handles (max 10) python3 {baseDir}/scripts/search.py --exclude spambot,crypto_shill "trending AI" # Date range (YYYY-MM-DD) python3 {baseDir}/scripts/search.py --from 2026-03-01 --to 2026-03-20 "xAI grok updates" # Enable image/video understanding in posts python3 {baseDir}/scripts/search.py --images --video "product demos" ``` ## Notes - Uses the xAI Responses API with `x_search` tool (Grok performs the search and summarizes results) - Cannot use `--handles` and `--exclude` at the same time - Results include citations with links to original X posts - Present results in a readable format with post content, authors, and citations

path: _meta.json
content: ownerId: kn7ashtwsjfzjzfz11zjsar4dn837v27
slug: x-search
version: 1.0.0
publishedAt: 1773970789565

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: newageinvestments25-byte/price-watcher (version 1.0.0)

--- name: price-watcher description: Monitor product URLs for price changes. Tracks a watchlist of products with baseline prices, fetches pages to extract current prices, and alerts on significant changes. Use when asked to: watch a price, track a price, set a price alert, check for a price drop, find a deal alert, or monitor a product price. Triggers on phrases like "price watch", "track price", "price alert", "price drop", "deal alert", "monitor price", "watch this product", or "let me know when it goes on sale". --- # Price Watcher Monitor product URLs for price changes via a local watchlist. No API keys required. ## Skill Location ``` ~/.openclaw/workspace/skills/price-watcher/ ``` All scripts use `SKILL_DIR` (parent of `scripts/`) to resolve `watchlist.json`. ## Core Workflow ### Add a product to watch ```bash # Auto-fetch current price from page python3 scripts/add_product.py "https://www.amazon.com/dp/BXXX" # Explicit price + name (use when auto-fetch fails) python3 scripts/add_product.py "https://..." 49.99 "Product Name" ``` ### Check all prices ```bash python3 scripts/check_prices.py ``` Outputs JSON to stdout. Updates `watchlist.json` with new prices and timestamps. ### Filter significant changes ```bash python3 scripts/check_prices.py | python3 scripts/compare.py python3 scripts/check_prices.py | python3 scripts/compare.py --threshold 10 ``` Default threshold: 5%. Always surfaces fetch errors and no-price results. ### Format as markdown alert ```bash python3 scripts/check_prices.py | python3 scripts/compare.py | python3 scripts/format_alert.py ``` Produces a markdown report with 📉 drops, 📈 increases, and ⚠️ errors. ## Watchlist Format `watchlist.json` (in skill root) stores an array of objects: ```json { "url": "https://...", "name": "Product Name", "baseline_price": 49.99, "last_price": 44.99, "last_checked": "2024-03-15T14:00:00+00:00", "price_history": [{"price": 49.99, "date": "..."}] } ``` See `assets/watchlist.example.json` for a full example. ## Scheduling For cron setup, threshold tuning, and anti-bot notes, see `references/setup-guide.md`. ## Error Handling - `fetch_error`: Page couldn't be retrieved (503, timeout, network issue) - `no_price`: Page loaded but no price found — check if site layout changed - Both statuses surface in `compare.py` output and `format_alert.py` regardless of threshold - `add_product.py` exits with an error if price can't be extracted and none was provided manually


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: yang1002378395-cmyk/ai-freelancing-guide (version 1.0.52)

# AI Freelancing Guide - AI 接单实战指南 用 OpenClaw + AI Agent 接单赚钱的完整指南，包含：选赛道、定价、客户获取、交付流程。 ## 使用场景 - 想用 AI 技能接单赚钱 - 不知道选什么赛道 - 不懂如何定价 - 找不到客户 ## 功能 1. **赛道分析** — 分析不同领域的客单价、竞争度、AI 替代率 2. **定价计算** — 根据项目复杂度和市场价自动推荐报价 3. **平台推荐** — 根据你的技能匹配最佳接单平台 4. **作品集生成** — 快速生成示例项目展示给客户 5. **提案模板** — 生成专业的接单提案 ## 快速开始 ### 1. 分析你的赛道 ``` 我擅长：Python + 数据分析 + 自动化 经验：1 年 目标：月入 $500 ``` Agent 会分析并推荐最适合的接单方向。 ### 2. 生成报价 ``` 项目：爬取电商网站数据 + 生成报告 工期：3 天 复杂度：中等 ``` Agent 会给出推荐报价：$150-300 ### 3. 生成提案 ``` 客户需求：需要一个自动化脚本，每天抓取竞品价格并发邮件通知 我的优势：熟悉爬虫 + 有类似项目经验 ``` Agent 会生成专业的提案文本。 ## 定价策略 | 项目类型 | 入门价 | 中级价 | 高级价 | |----------|--------|--------|--------| | 自动化脚本 | $50-100 | $100-300 | $300-500 | | 数据分析 | $100-200 | $200-500 | $500-1000 | | API 集成 | $100-300 | $300-800 | $800-2000 | | 网站开发 | $200-500 | $500-1500 | $1500-5000 | ## 接单平台推荐 ### 国际（美金） - **Upwork** — 最成熟，客户质量高 - **Fiverr** — 固定价格，适合小单 - **Toptal** — 高端客户，门槛高 ### 国内（人民币） - **程序员客栈** — 技术外包 - **码市** — 项目众包 - **猪八戒** — 综合外包 ## 成功案例 ### 案例 1：自动化报告生成 - 客户：电商公司 - 需求：每日销售数据自动汇总发邮件 - 报价：$200 - 工期：2 天 - AI 辅助：90% ### 案例 2：竞品价格监控 - 客户：跨境电商 - 需求：监控 5 个竞品网站价格变化 - 报价：$350 - 工期：3 天 - AI 辅助：85% ## 注意事项 1. **先收定金** — 至少 30% 预付款 2. **明确需求** — 用文档确认，避免扯皮 3. **分批交付** — 大项目分阶段，降低风险 4. **保留案例** — 每个项目留作作品集 ## 更新日志 - 2026-03-13：初始版本


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bytesagain3/flashcard (version 2.0.0)

--- name: Flashcard description: "Spaced repetition study tool with deck management. Use when you need flashcard." version: "2.0.0" author: "BytesAgain" homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills tags: ["flashcard","study","learning","spaced-repetition","education","memory","quiz","anki"] categories: ["Education", "Productivity", "Personal Management"] --- # Flashcard Study smarter with spaced repetition. Cards you struggle with come up more often. ## Commands - `create <deck>` — Create a new flashcard deck - `add <deck> <front> <back>` — Add a card to a deck - `study <deck>` — Study weakest cards first - `correct <deck>` — Mark current card as correct - `wrong <deck>` — Mark current card as wrong (will repeat sooner) - `decks` — List all decks with card counts - `stats` — Overall study statistics - `help` — Show commands ## Usage Examples ```bash flashcard create Spanish flashcard add Spanish "hola" "hello" flashcard add Spanish "gracias" "thank you" flashcard study Spanish flashcard correct Spanish flashcard decks flashcard stats ``` --- 💬 Feedback & Feature Requests: https://bytesagain.com/feedback Powered by BytesAgain | bytesagain.com


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: iph0n3/baidu-hot-real (version 1.3.0)

--- name: baidu-hot-real description: 百度热搜榜实时抓取 - 直接从 top.baidu.com/board 获取真实热榜数据 version: 1.3.0 author: iph0n3 allowed-tools: web_fetch, Bash --- # 百度热搜榜 - 真实数据版 ## 技能概述 此技能直接从百度热搜官网 (`https://top.baidu.com/board`) 抓取实时热榜数据，**不使用模拟数据**。 ## 核心功能 | 功能 | 说明 | |------|------| | **实时热搜** | 获取当前百度热搜榜 Top 50 | | **热点标记** | 识别"热"、"新"等标记 | | **分类标签** | 自动识别热点分类 | | **多榜单支持** | 热搜/小说/电影/电视剧 | ## 使用方式 ### 获取热搜榜 ```bash # 获取 Top 10 python3 scripts/baidu_real.py 10 # 获取 Top 50（默认） python3 scripts/baidu_real.py # 获取完整榜单 python3 scripts/baidu_real.py all ``` ### 输出格式 ``` 🔥 百度热搜榜 Top 10 (2026-03-20 11:48) 1. "国家队"出手 房租最高直降 50% 🔥 2. "我熟这片草原 让我上！" 🔥 3. 春分"分"的是什么？ 4. 印度新任驻华大使取了中国名字 🆕 5. 女儿弥留之际妈妈偷偷来看捂嘴忍泪 🆕 ... ``` ## 数据来源 - **唯一数据源**：https://top.baidu.com/board - **更新频率**：实时（百度官方更新） - **数据真实性**：✅ 100% 真实 ## 与 baidu-hot-cn 的区别 | 特性 | baidu-hot-cn | baidu-hot-real | |------|--------------|----------------| | 数据源 | 百度 API（可能不可用） | 百度热搜官网 | | 数据真实性 | ⚠️ API 不可用时返回模拟数据 | ✅ 始终真实 | | 依赖 | Python requests | Python + web_fetch | | 推荐度 | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ## 注意事项 - 需要网络连接访问百度 - 访问频繁可能被限流（建议间隔≥1 分钟） - 数据格式可能随百度官网更新而变化 ## 输出字段 | 字段 | 类型 | 说明 | |------|------|------| | rank | int | 排名（1-50） | | title | string | 热点标题 | | mark | string | 标记（热/新/无） | | link | string | 搜索链接 | | category | string | 分类（自动识别） |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: wxd9199/jetson-temp (version 1.0.0)

# jetson-temp NVIDIA Jetson 温度监控工具。实时监控系统温度。 ## 功能 - CPU 温度监控 - GPU 温度监控 - 多个 thermal zone 温度 - 实时更新 ## 使用方法 ```bash # 查看当前温度 jetson-temp ``` ## 依赖 - Linux thermal subsystem (/sys/class/thermal/) ## 环境要求 - NVIDIA Jetson 设备 - Linux kernel with thermal support

path: _meta.json
content: slug: jetson-temp
name: jetson-temp
version: 1.0.0

path: scripts/temp.sh
content: #!/bin/bash
echo "=== Jetson Temperature ==="
for zone in /sys/class/thermal/thermal_zone*/temp; do
    temp=$(cat $zone 2>/dev/null)
    if [ -n "$temp" ]; then
        echo "Temperature: $((temp/1000))°C"
    fi
done


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: liliangjie91/todo4google (version 1.0.1)

--- name: todo4google description: 管理todo事项，记录工作日志，并与Google Task同步。根据本地ToDo创建Goole Task，并根据完成情况更新Google Task状态。上传todo文件到Google Drive进行归档。 metadata: {"openclaw":{"emoji":"✅","requires":{"bins":["gog"]}}} --- # Todo Manager ## 默认设置 - 基本设置 - `GOOGLETASKLIST="openclaw"` # 可通过用户指令自定义 - `TODODIR="archive/todos"` # 相对于agent工作目录 - 默认一个todo文件包含一周的内容，每天以一级标题 `# YYYY-MM-DD` 开始 - `FILENAME="todos-{YYYYMMDD}.md"` 其中 `YYYYMMDD` 是**当周周一的日期**，文件路径为 `{TODODIR}/{FILENAME}` - 默认md文件模版: ```markdown # YYYY-MM-DD ## ToDos - [ ] **[{priority}] {title}** - taskId: xxx - due: yyyy-mm-dd （默认当天） - 第一行notes 第二行notes（续） 第三行notes（续） - [ ] **下一个任务** ... ## Works [一般由用户自己填写] ## Summary [可由agent根据todo和works自动生成总结] --- # YYYY-MM-DD+1 ## ToDos ## Works ## Summary --- # YYYY-MM-DD+2 ... ``` **模版注意事项**： - 一个todo-xxx.md文件**默认包含一周**的内容，每一天的内容以一级标题 `# YYYY-MM-DD` 开始 - 每一天的内容包括: ToDos (计划todo) → Works (实际工作内容) → Summary (总结) ## 本地操作 ### FUNC-00: 确定目标md文件 - 当周周一日期为文件名，例如2026-04-19（周日），则使用2026-04-13的日期对应文件名 `todos-20260413.md` ### FUNC-01: 添加本地todo - FUNC-00 确定目标md文件，如无则创建 - 总结用户需求，提取todo标题、优先级、截止日期、notes等信息，添加到当天的todo文件中 ### FUNC-02: 解析当天todo事项 - FUNC-00 确定目标md文件，提取当天的内容 - 只解析当天的 todo 项，忽略其他内容。 **解析规则**： 1. 任务标题行 `- [ ] **[{priority}] {title}**` 依次提取: 完成状态:status 优先级:priority（p0 > p1 > p2，默认p1）如无则自动添加p1 任务标题:title 2. 子行 `- taskId: xxx` → 提取 taskId 3. 子行 `- due: YYYY-MM-DD` → 提取 截止日期:due （默认当天） 4. 子行 `- xxx`（非 taskId/due/priority）→ 归入 notes 5. **多行 notes**：从第一条 notes 行开始，所有后续不包含 `taskId:`、`due:` 的行都属于该任务的 notes，直到下一个任务 ### FUNC-03: 编辑当天Works **需要用户主动触发** - FUNC-00 确定目标md文件，提取当天的内容 - 根据用户输入，编辑当天的Works内容 ### FUNC-04: 总结今日完成情况-Summary - FUNC-00 确定目标md文件，提取当天的内容 - 根据当天的todo和works内容，自动生成当天的Summary总结 在**当天内容末尾**添加完成情况小结，格式如下： ``` --- ## Summary **已完成（N/M）**： 1. ✅ 第一项任务 2. ✅ 第二项任务 **未完成（M/N）**： 1. ❌ 第一项任务 2. ❌ 第二项任务 ``` ### FUNC-05: 生成下一天 todo - FUNC-00 确定目标md文件，提取当天的内容 - 根据当天的todo完成情况，自动生成下一天的todo计划 - **如果下一天是下周一**，则生成新的md文件 - **注意**：如果未完成任务中包含 **taskId，due**，则保留以便后续同步 格式参照上文的 todo 任务模版。 ## Google 云端同步 ### FUNC-06: 新建google task 根据当天todo创建新的google task，**仅针对本地todo中没有taskId的任务（无论是否已经标记完成）**，并将生成的taskId回写到本地todo文件中。 1. FUNC-00 确定目标md文件，提取**当天**的内容 2. 向Google Task创建新任务 对于本地todo中**没有任务id**的任务（**无论是否已经标记完成**）执行如下： ```bash gog task add {GOOGLETASKLIST} --title "[{priority}] {title}" --notes "$(printf notes)" --due {due} ``` **注意：并发提起tool_use, notes 注意 $(printf ...) 语法** 3. 回写入本地todo 等待所有任务均创建完毕，更新todo文件对应内容，**并按照priority排序**, **priority要用方括号包裹** ### FUNC-07: 更新google task完成情况 根据当天todo完成情况，更新Google Task中对应任务的完成状态。**仅针对本地todo中，当天的，有taskId的任务**。 FUNC-00 确定目标md文件，提取**当天**的内容，**当天任务中，有任务id且任务已完成**的执行如下： ```bash gog task update {GOOGLETASKLIST} {taskId} --notes "$(printf notes)" --due {due} --status "completed" ``` **注意：并发提起tool_use, notes 注意 $(printf ...) 语法** ### FUNC-08: 归档todo文件 **需要用户主动触发** 将目标文件上传到云端google drive, 默认转成Google Doc格式 ```bash gog drive upload {filePath} --convert-to doc ```

path: _meta.json
content: ownerId: kn751qbzv6m87wvvptav7g2b4x835eww
slug: todo4google
version: 1.0.0
publishedAt: 1776187013597

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ericlooi504/cert-expiry-checker (version 1.0.0)

--- name: ssl-checker description: "SSL/TLS certificate expiry checker and domain health monitor. Check certificate expiration, issuer details, SAN entries, and chain validity for one or multiple domains. Use when Codex needs to: (1) Check SSL cert expiry dates, (2) Monitor multiple domains for upcoming certificate renewal, (3) Generate HTML certificate status reports, (4) Validate SSL configuration on non-standard ports, (5) Audit domain security posture before deployment." --- # SSL Certificate Checker (ssl-checker) Check SSL/TLS certificate status for any domain with concurrent scanning, HTML reports, and JSON output. ## Quick start ```bash python3 skills/ssl-checker/scripts/check_ssl.py example.com ``` Output: ``` 🔍 Checking 1 domain(s)... [1/1] 🟢 example.com: valid (87d) Hostname Port Status Days Left Issuer Expiry Date ======================================================================================================== example.com 443 🟢 Valid 87 Let's Encrypt 2026-08-10 📊 Summary: 1 healthy, 0 warnings, 0 errors — 1 total ``` ## Commands | Command | Description | |---------|-------------| | `python3 check_ssl.py example.com` | Check one domain | | `python3 check_ssl.py domain1.com domain2.com` | Check multiple domains | | `python3 check_ssl.py --file domains.txt` | Check domains from file | | `python3 check_ssl.py example.com --port 8443` | Custom port | | `python3 check_ssl.py example.com --json` | JSON output | | `python3 check_ssl.py example.com --report` | HTML report | | `python3 check_ssl.py --output report.html --report` | Custom output path | | `python3 check_ssl.py --threads 20` | Concurrent checks (default: 10) | ### Domains file format ``` # domains.txt example.com google.com mysite.io:8443 ``` ## Status levels | Level | Days Remaining | Badge | |-------|---------------|-------| | ✅ Valid | > 60 days | 🟢 | | 🟡 Expiring Soon | 31–60 days | 🟡 | | 🟠 Warning | 15–30 days | 🟠 | | 🔴 Critical | ≤ 14 days | 🔴 | | ⛔ Expired | < 0 days | ⛔ | ## Exit codes - **0**: All healthy - **1**: Any warnings - **2**: Any critical or expired (useful for CI/CD gating) ## HTML Reports Generates a styled Bootstrap report with status badges, SAN details, and issuer info: ```bash python3 skills/ssl-checker/scripts/check_ssl.py --file domains.txt --report # Creates: ssl-report-20260515-090500.html ``` ## JSON Output For programmatic consumption and monitoring integrations: ```bash python3 skills/ssl-checker/scripts/check_ssl.py example.com --json ``` ## Requirements - Python 3.6+ (stdlib only — no pip required) - Network access to target domains - Works on Linux, macOS, Windows


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

--- name: amazon-trending-products description: "Discover trending products and rising categories on Amazon. Analyzes Best Seller Rank (BSR) patterns, new release momentum, seasonal trends, and emerging niches. Helps identify product opportunities before they peak." metadata: nexscope: emoji: "📈" category: amazon --- # Amazon Trending Products 📈 Discover trending products and rising categories on Amazon. Analyzes Best Seller Rank (BSR) patterns, new release momentum, seasonal trends, and emerging niches. Helps identify product opportunities before they peak. **Supported platforms:** Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce. Built by [Nexscope](https://www.nexscope.ai/) — your AI assistant for smarter e-commerce decisions. ## Install ```bash npx skills add nexscope-ai/eCommerce-Skills --skill amazon-trending-products -g ``` ## Usage ``` What products are trending on Amazon US right now in the kitchen category? I want to find opportunities under $30. ``` ## Capabilities - BSR trend analysis and momentum scoring - Seasonal trend identification with timing recommendations - New release tracking and early-mover opportunity detection - Category growth rate assessment - Demand forecasting based on search trend patterns - Competition density evaluation per trending niche ## 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: teoslayer/pilot-cron (version 1.0.0)

--- name: pilot-cron description: > Scheduled recurring task submission. Use this skill when: 1. You need periodic task execution on a fixed schedule 2. You want automated recurring tasks without manual intervention 3. You need time-based triggers for network operations Do NOT use this skill when: - Tasks should trigger on events, not time (use pilot-workflow) - You only need to run a task once - The schedule is irregular and can't be expressed as a cron pattern tags: - pilot-protocol - task-workflow - scheduling - automation license: AGPL-3.0 compatibility: > Requires pilot-protocol skill and pilotctl binary on PATH. The daemon must be running (pilotctl daemon start). metadata: author: vulture-labs version: "1.0" openclaw: requires: bins: - pilotctl homepage: https://pilotprotocol.network allowed-tools: - Bash --- # pilot-cron Scheduled recurring task submission using cron-style scheduling. Enables automated periodic task execution across the Pilot network. ## Commands **Add cron job:** ```bash crontab -l | { cat; echo "0 * * * * /path/to/submit-task.sh"; } | crontab - # Every hour crontab -l | { cat; echo "0 2 * * * /path/to/daily-backup.sh"; } | crontab - # Daily at 2 AM ``` **Systemd timer (more reliable):** ```bash cat > ~/.config/systemd/user/pilot-task.timer <<EOF [Timer] OnCalendar=hourly Persistent=true EOF systemctl --user enable pilot-task.timer systemctl --user start pilot-task.timer ``` **Simple sleep loop:** ```bash while true; do /path/to/submit-task.sh sleep 3600 # 1 hour done ``` **List scheduled tasks:** ```bash crontab -l systemctl --user list-timers ``` ## Workflow Example ```bash #!/bin/bash # Create and install cron jobs SCRIPT_DIR="$HOME/.pilot/cron-jobs" mkdir -p "$SCRIPT_DIR" # Health check script - every 5 minutes cat > "$SCRIPT_DIR/health-check.sh" <<'EOF' #!/bin/bash AGENT=$(pilotctl --json peers --search "monitor" | jq -r '.[0].address') pilotctl --json task submit "$AGENT" --task "Perform health check and report status" EOF chmod +x "$SCRIPT_DIR/health-check.sh" # Install cron jobs crontab -l 2>/dev/null | grep -v 'pilot-cron' > /tmp/crontab.tmp || true cat >> /tmp/crontab.tmp <<EOF # pilot-cron: Health check every 5 minutes */5 * * * * $SCRIPT_DIR/health-check.sh >> $HOME/.pilot/logs/health-check.log 2>&1 EOF crontab /tmp/crontab.tmp rm /tmp/crontab.tmp echo "Cron jobs installed" ``` ## Common Cron Patterns ```bash * * * * * # Every minute */5 * * * * # Every 5 minutes 0 * * * * # Every hour 0 2 * * * # Daily at 2 AM 0 9 * * 1 # Monday at 9 AM 0 0 1 * * # First day of month ``` ## Dependencies Requires `pilot-protocol` skill, `pilotctl` binary, running daemon, `jq`, and `cron` or `systemd` timer support.


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