OpenClaw/clawhub-security-signals huggingface dataset:
Skill: arraylee/xhs-content-gen (version 1.0.1)

--- name: xhs-content-gen description: > 小红书爆款内容生成器 - 自动创作标题、正文、标签，基于真实运营经验优化。 适用于：育儿、知识分享、生活方式等垂直领域。 触发词："生成小红书内容"、"写小红书文案"、"爆款标题" metadata: version: "1.0.0" author: "数据派奶爸" tags: ["xiaohongshu", "content", "social-media", "marketing"] pricing: "free" --- # 小红书内容生成器 (Xiaohongshu Content Generator) 基于真实小红书运营经验封装的内容生成工具，帮助创作者快速产出符合平台调性的爆款内容。 ## 功能特性 - ✅ **智能标题生成** - 数字型、痛点型、悬念型标题 - ✅ **正文结构化** - 钩子+干货+互动，符合平台算法偏好 - ✅ **标签自动匹配** - 精准标签组合，提升曝光率 - ✅ **多领域适配** - 育儿、知识、生活、职场等 - ✅ **合规安全** - 避免敏感词，降低封号风险 ## 使用方法 ### 方式1：直接调用 ``` 生成一篇关于[主题]的小红书笔记 ``` ### 方式2：指定风格 ``` 写一篇[育儿/知识/生活]类的小红书内容，主题是[主题] ``` ### 方式3：批量生成 ``` 生成3个关于[主题]的小红书标题供我选择 ``` ## 示例 **输入：** > 生成一篇关于"幼小衔接"的小红书笔记 **输出：** ``` 标题：幼小衔接我做了12件事，数据显示只有这3件真正有用 正文： 花了一整年，做了12件事。回头看，真正起作用的只有3件。 ❌ 先说坑：识字APP、在线思维课、拼音突击班...效果呢？ ✅ 真正有用的3件： 1️⃣ 专注力训练（每天20分钟） 2️⃣ 自理能力（自己的事情自己做） 3️⃣ 阅读习惯（每天亲子共读30分钟） 其他9件？锦上添花，不决定胜负。 你家幼小衔接做了哪些？评论区聊聊👇 标签：#幼小衔接 #育儿经验 #一年级准备 #科学育儿 ``` ## 最佳实践 ### 内容安全准则 1. **避免敏感词** - ❌ 不要用："最"、"第一"、"保证" - ❌ 避免：价格、医疗建议、政治 2. **控制发布频率** - 每天1-2条，避免批量操作 - 分散在全天发布 3. **真人感优先** - AI生成 → 人工微调 → 发布 - 保留个人语言习惯 ### 不同领域的关键词 | 领域 | 热门关键词 | |------|-----------| | 育儿 | 幼小衔接、作业拖拉、专注力、阅读习惯 | | 知识 | 学习方法、效率工具、认知提升 | | 生活 | 极简、收纳、家居、美食 | | 职场 | 面试技巧、简历优化、副业 | ## 技术说明 ### 成本优化 - 默认使用 Gemini Flash (免费) - 复杂需求自动降级到 GPT-4o-mini - Token 使用优化，降低生成成本 ### 模型路由 ``` 简单内容 → Gemini Flash ($0) 标准内容 → GPT-4o-mini ($0.15/1M tokens) 复杂分析 → Kimi K2.5 (自有Key) ``` ## 更新日志 ### v1.0.1 (2026-03-18) - ✨ 添加定制服务联系方式 - ✨ 优化文档结构 ### v1.0.0 (2026-03-18) - 🎉 首次发布 - ✨ 支持标题、正文、标签生成 - ✨ 多领域内容模板 - ✨ 合规安全检测 ## 💼 定制服务 这个 Skill 是通用版本，适合快速生成内容。如果你有更复杂的需求： - **特定领域深度定制**（医疗、法律、金融等专业领域） - **私有数据对接**（对接你的 CMS、商品库、用户数据） - **多平台自动化方案**（一键同步到公众号、抖音、知乎等） - **企业级部署**（私有化部署、团队协作、API 接入） **📩 联系我：** - 📧 邮箱：**[REDACTED_SECRET]** - 💬 飞书：直接对话 **💰 服务报价：** - 诊断咨询：¥500/小时 - 定制开发：¥3,000-10,000/项目 - 企业年费：¥20,000起 --- ## 联系方式 有问题或建议？欢迎交流： - 📧 邮箱：**[REDACTED_SECRET]** - 💬 飞书：直接对话 --- **免责声明：** 本工具仅供内容创作辅助，请遵守小红书社区规范。过度自动化操作可能导致账号受限，建议AI生成内容后人工审核再发布。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: aokikaito79/web-researcher (version 1.0.0)

--- name: web-researcher description: "Use this skill for deep research, fact-checking, or finding the latest technical news." --- # Web Researcher Skill ## When to use - Use when the user asks for "the latest," "news," or "research" on a topic. - Use when you need to verify a fact that isn't in your local training data. ## Research Protocol 1. **Multi-Query Search**: Don't just search once. Run 2-3 targeted searches (e.g., "OpenClaw 2026.3.2 features" AND "OpenClaw 2026.3.2 bugs"). 2. **Deep Dive**: Use `web_fetch` on at least the top 2 most relevant URLs to get the full text. Snippets are not enough for deep research. 3. **Synthesis**: Summarize the findings by grouping them into "Key Facts," "Timeline," and "Contradictions" (if any). 4. **Cite Sources**: Always list the URLs you actually read at the end of your report. ## Output Format - Start with a 🪐 **Jupiter Research Brief** header. - Use bullet points for readability. - Highlight any "Breaking News" or "Critical Alerts" in bold.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jinkang19940922/web-crawler (version 1.0.0)

--- name: web-crawler description: "网页爬虫工具，支持静态和动态页面爬取、媒体下载、反爬虫规避。激活条件：用户提到爬虫、爬取、crawler、scraper、抓取网页、下载媒体" metadata: version: "1.0.0" openclaw: emoji: "🕷️" --- # Web Crawler Skill 通用网页爬虫，可处理各种类型网站，包括带防护机制或动态渲染的页面。 ## 快速使用 ```bash cd /home/node/.openclaw/workspace/web-crawler # 爬取页面（需要先 cd 到项目目录） node -e " const crawler = require('./src/index.js'); const c = new crawler({maxPages: 1}); c.crawl('https://example.com').then(r => console.log(r.title)); " ``` ## 核心功能 1. **静态页面爬取** - HTTP/HTTPS, cheerio解析, 代理支持 2. **动态页面爬取** - Puppeteer + 系统Chrome, JS渲染 3. **媒体下载** - 图片/视频/音频自动下载到 outputs/ 4. **反爬虫规避** - UA轮换, 请求延迟, 代理轮换 ## 配置 编辑 `config/default.json`: - `crawling.maxDepth` - 最大爬取深度 - `crawling.maxPages` - 最大页面数 - `media.enabled` - 启用媒体下载 - `antiBot.proxyList` - 代理列表 ["http://ip:port", ...] - `puppeteer.executablePath` - Puppeteer 浏览器路径 ## 代理配置 已配置代理: - http://192.168.10.222:7890 - http://192.168.10.222:37890 代理故障自动降级到直接连接。 ## 输出目录 - `outputs/html/` - HTML文件 - `outputs/text/` - 纯文本 - `outputs/screenshots/` - 截图 - `outputs/media/` - 媒体文件 - `outputs/data.json` - 结构化数据


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

--- name: Chief Information Security Officer slug: ciso version: 1.0.0 description: Lead security with infrastructure audits, vulnerability triage, compliance tracking, vendor assessment, and incident response. --- ## When to Use User needs CISO-level guidance for information security. Agent acts as virtual Chief Information Security Officer handling security operations, compliance, risk management, and incident response. ## Quick Reference | Domain | File | |--------|------| | Infrastructure audit checklists | `audits.md` | | Compliance frameworks (SOC 2, GDPR, ISO) | `compliance.md` | | Incident response playbooks | `incidents.md` | | Vendor security assessments | `vendors.md` | ## Core Capabilities 1. **Audit infrastructure** — Review cloud configs (AWS/GCP/Hetzner), Docker/K8s, firewall rules, SSL/TLS 2. **Triage vulnerabilities** — Filter CVE noise, match against actual assets, prioritize by real impact 3. **Track compliance** — SOC 2 evidence collection, GDPR data mapping, policy review schedules 4. **Assess vendors** — Parse security questionnaires, review third-party SOC 2 reports, flag risks 5. **Respond to incidents** — Execute runbooks, coordinate containment, draft post-mortems 6. **Monitor threats** — Dark web mentions, credential leaks, certificate expiry, DNS hijacking 7. **Manage secrets** — Rotation schedules, vault setup, leaked credential response ## Decision Checklist Before recommending security posture, verify: - [ ] Company stage? (startup, growth, enterprise) - [ ] Tech stack? (cloud provider, languages, frameworks) - [ ] Compliance requirements? (SOC 2, HIPAA, PCI-DSS, GDPR) - [ ] Team size? (affects access management complexity) - [ ] Current security maturity? (none, basic, mature) ## Critical Rules - **Prioritize ruthlessly** — Startups can't do everything; 80/20 rule applies - **Actionable output** — "Change line 47 from X to Y" beats "SQL injection detected" - **Track security debt** — Document what was skipped for later - **No security theater** — Checkboxes without real protection waste time - **Assume breach** — Logging, backups, and response plans are non-negotiable - **Secrets never in chat** — Agent must never expose credentials, even when helping rotate them ## By Company Stage | Stage | CISO Focus | |-------|------------| | **Pre-seed/Seed** | MFA everywhere, secrets management, basic access control, no public buckets | | **Series A** | Incident response plan, SOC 2 prep, vendor assessment process, security training | | **Series B+** | Dedicated security hire, penetration testing, bug bounty, compliance automation | ## Human-in-the-Loop These decisions require human judgment: - Major security vendor selection - Compliance framework prioritization - Incident disclosure decisions - Security budget allocation - Access policy exceptions - Third-party risk acceptance


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: ly5201314gjx/binance-skill-export (version 1.0.0)

# Binance Trading Skill 币安API交易封装，支持现货和合约交易。 ## 功能 ### 现货交易 - `binance_spot_balance` - 获取账户余额 - `binance_spot_ticker` - 获取24小时行情 - `binance_spot_order` - 下单 - `binance_spot_orders` - 查询开放订单 ### 合约交易 - `binance_futures_balance` - 获取合约账户余额 - `binance_futures_ticker` - 获取合约行情 - `binance_futures_order` - 合约下单 - `binance_futures_positions` - 查询持仓 - `binance_futures_open_orders` - 查询合约开放订单 - `binance_futures_book` - 深度数据 - `binance_futures_leverage` - 设置杠杆 - `binance_futures_close` - 平仓 ### 通用 - `binance_ping` - 测试连接 - `binance_kline` - K线数据 ## API配置 需要配置以下环境变量或直接在代码中修改： - `BINANCE_API_KEY` - API Key - `BINANCE_SECRET_KEY` - Secret Key ## 安装 ```bash # 安装依赖 npm install # 测试连接 node index.js ping ``` ## 使用示例 ```javascript const binance = require('./index.js'); // 获取余额 await binance.binance_futures_balance({}); // 获取行情 await binance.binance_futures_ticker({ symbol: "BTCUSDT" }); // 下单 await binance.binance_futures_order({ symbol: "BTCUSDT", side: "BUY", quantity: 0.001 }); // 设置杠杆 await binance.binance_futures_leverage({ symbol: "BTCUSDT", leverage: 10 }); // 平仓 await binance.binance_futures_close({ symbol: "BTCUSDT" }); ``` ## API Endpoints | 类型 | 地址 | |------|------| | 现货 | https://api.binance.com | | 合约 | https://fapi.binance.com |


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: jbennett111/ledgerai (version 1.0.0)

--- name: ledgerai description: AI bookkeeping via LedgerAI API — invoice processing, expense categorization, financial reports, receipt scanning. Use when user needs automated bookkeeping, invoice parsing, expense tracking, financial report generation, or receipt processing. Free tier available (100 req/day). --- # LedgerAI AI bookkeeping API by Voss Consulting Group. ## Setup Set `LEDGERAI_API_KEY` or `LEDGERAI_EMAIL` for auto-signup (free, no credit card). ```bash curl -X POST https://anton.vosscg.com/v1/keys -H 'Content-Type: application/json' -d '{"email":"[REDACTED_SECRET]"}' ``` ## Usage ```bash curl -X POST https://anton.vosscg.com/v1/invoices/process \ -H "Authorization: Bearer $LEDGERAI_API_KEY" \ -H "Content-Type: application/json" \ -d '{"url": "https://example.com/invoice.pdf", "action": "parse"}' ``` ## Capabilities - Invoice parsing and data extraction - Expense auto-categorization - Financial report generation - Receipt scanning and OCR ## API Reference - `POST /v1/invoices/process` — Process invoice - `POST /v1/expenses/categorize` — Categorize expenses - `POST /v1/reports/generate` — Generate financial report - `POST /v1/keys` — Get API key (email-only for free tier) - `GET /v1/health` — Health check

path: scripts/forge-client.sh
content: #!/bin/bash
set -euo pipefail
API_BASE="${LEDGERAI_API_URL:-https://anton.vosscg.com}"
[REDACTED_SECRET]"
EMAIL="${LEDGERAI_EMAIL:-}"
if [ -z "$API_KEY" ] && [ -n "$EMAIL" ]; then
  RESP=$(curl -sf -X POST "$API_BASE/v1/keys" -H "Content-Type: application/json" -d "{\"email\": \"$EMAIL\"}")
  [REDACTED_SECRET] "$RESP" | grep -o '"api_key":"[^"]*"' | cut -d'"' -f4)
  [ -n "$API_KEY" ] && echo "✅ Free key: $API_KEY" >&2 || { echo "❌ Signup failed" >&2; exit 1; }
fi
[ -z "$API_KEY" ] && { echo "❌ Set LEDGERAI_API_KEY or LEDGERAI_EMAIL" >&2; exit 1; }
ACTION="${1:-help}"; shift || true
case "$ACTION" in
  invoice) curl -sf -X POST "$API_BASE/v1/invoices/process" -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" -d "$1" ;;
  expenses) curl -sf -X POST "$API_BASE/v1/expenses/categorize" -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" -d "$1" ;;
  report) curl -sf -X POST "$API_BASE/v1/reports/generate" -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" -d "$1" ;;
  health) curl -sf "$API_BASE/v1/health" ;;
  *) echo "LedgerAI: invoice '<json>' | expenses '<json>' | report '<json>' | health" ;;
esac


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: avale-slai/promptcache (version 1.0.3)

--- name: promptcache description: Estimate the cost savings from caching frequently-used prompts across AI models. metadata: openclaw: emoji: "📦" requires: bins: ["promptcache"] install: - id: skill-install kind: skill label: "Prompt Cache skill is installed — type /promptcache in any chat" --- # promptcache — LoomLens Advisor ## What It Does Estimates the cost savings from caching frequently-used prompts. Compares the cost of re-sending full context every call vs. cached prompt mode across all major models. ## When to Use - When you run the same system prompt repeatedly - Before enabling prompt caching on a production pipeline - When evaluating cost savings from prompt template reuse ## Syntax ``` /promptcache "You are an expert radiologist..." --calls-per-day 50 /promptcache "Summarize this in 3 bullets" --model openai/gpt-4o-mini ``` ## Free Tier **3 analyses/day free** with any Signalloom API key. Get your free key: https://signalloomai.com/signup

path: install.sh
content: #!/usr/bin/env bash
# install.sh — Install SIGNAL_LOOM_TOOL skill
SKILL_NAME="promptcache"
SKILL_SLUG="promptcache"
VERSION="1.0.2"

SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
OPENCLAW_SKILLS="${HOME}/.openclaw/skills"
LOCAL_BIN="${HOME}/.local/bin"

echo "Installing ${SKILL_NAME}..."
mkdir -p "$OPENCLAW_SKILLS" "$LOCAL_BIN"

# Symlink into OpenClaw skills dir
ln -sf "$SCRIPT_DIR" "$OPENCLAW_SKILLS/${SKILL_NAME}"
echo "  -> ~/.openclaw/skills/${SKILL_NAME}"

# Add to PATH
grep -q '~/.local/bin' "${HOME}/.zshrc" 2>/dev/null || echo 'export PATH="$HOME/.local/bin:$PATH"' >> "${HOME}/.zshrc"

# Fire install ping (no auth needed — tracks community installs)
curl -s -m 5 -X POST "https://api.signalloomai.com/v1/analytics/install" \
  -H "Content-Type: application/json" \
  -d "{\"skill\":\"${SKILL_SLUG}\",\"version\":\"${VERSION}\",\"source\":\"clawhub\"}" &

echo ""
echo "Done! Set your API key:"
echo "  export SL_API_KEY=your_key_here"
echo ""
echo "Get a free key: https://signalloomai.com/signup"
echo ""
echo "To use: /${SKILL_NAME} in any OpenClaw chat"


path: package.json
content: {
  "name": "promptcache",
  "version": "1.0.1",
  "description": "Estimate prompt caching savings. Signal Loom AI.",
  "bin": {
    "promptcache": "./scripts/promptcache"
  },
  "signalloom": {
    "api": true,
    "free_tier": "3 analyses/day"
  }
}


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: huangrichao2020/baidu-finance-search (version 1.0.2)

--- name: baidu-finance-search version: 1.0.1 description: 百度财经搜索 skill。基于超哥方法论定制，支持雪球/知乎/东方财富/同花顺等站点的财经舆情搜索，适合短线情绪博弈和事件驱动分析。 emoji: 💹 --- # 百度财经搜索 Skill 基于**超哥方法论**定制的财经搜索工具，使用百度千帆 AI 搜索（web_summary）接口。 --- ## 核心能力 | 场景 | 站点 | 用途 | |------|------|------| | **短线主线（情绪博弈）** | 雪球、东方财富 | 舆情热度、资金动向 | | **短线非主线（事件驱动）** | 东方财富、同花顺 | 公告、政策、财报 | | **中线（趋势跟随）** | 知乎、雪球 | 板块轮动分析 | --- ## API 信息 | 项目 | 值 | |------|-----| | **Endpoint** | `https://qianfan.baidubce.com/v2/ai_search/web_summary` | | **认证** | `Authorization: Bearer {API_KEY}` | | **请求方式** | POST | --- ## 使用方式 ### 命令行调用 ```bash python3 skills/baidu-finance-search/scripts/search.py '<JSON参数>' ``` ### 快捷搜索 ```bash # A股行情分析 python3 skills/baidu-finance-search/scripts/search.py '{ "query": "如何看待今日A股行情", "sites": ["xueqiu.com", "www.eastmoney.com"] }' # 板块轮动分析 python3 skills/baidu-finance-search/scripts/search.py '{ "query": "半导体板块轮动分析", "sites": ["xueqiu.com", "www.zhihu.com"] }' # 个股舆情 python3 skills/baidu-finance-search/scripts/search.py '{ "query": "宁德时代 最新讨论", "sites": ["xueqiu.com"], "time_range": "3d" }' ``` --- ## 请求参数 | 参数 | 类型 | 必填 | 默认值 | 说明 | |------|------|------|--------|------| | `query` | string | ✅ 是 | - | 搜索问题 | | `sites` | list | 否 | 雪球、东财 | 搜索站点列表 | | `time_range` | string | 否 | 无 | 时间范围（1d/3d/1w/1m） | | `top_k` | int | 否 | 10 | 返回结果数量 | | `instruction` | string | 否 | 金融专家 | 系统指令 | --- ## 预设站点 | 站点 | 域名 | 说明 | |------|------|------| | 雪球 | xueqiu.com | 股民社区 | | 东方财富 | www.eastmoney.com | 财经门户 | | 同花顺 | www.10jqka.com.cn | 财经门户 | | 知乎 | www.zhihu.com | 知识问答 | --- ## 配置 在 `skills/.env` 中配置： ``` BAIDU_API_KEY=bce-v3/ALTAK-xxx ``` --- ## 与方法论对应 | 方法论场景 | 推荐站点 | 示例查询 | |------------|----------|----------| | 短线主线-情绪博弈 | 雪球、东财 | "如何看待今日A股行情" | | 短线非主线-事件驱动 | 东财、同花顺 | "XX股票 公告解读" | | 中线-趋势跟随 | 知乎、雪球 | "半导体板块轮动分析" |


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: terrycarter1985/douyin-nlp-search (version 1.0.0)

--- name: douyin-scraper description: > 抖音视频内容搜索和爬取工具，支持自然语言查询如"搜索一下海鲜视频"、"找5个最热猫咪搞笑视频"。 当用户需要搜索抖音视频内容、查找短视频、爬取抖音数据时使用此技能。 支持中文自然语言解析，可以直接理解用户的搜索意图并提取关键词和过滤条件。 version: 1.0.0 --- # Douyin Scraper - 抖音搜索爬虫 支持自然语言搜索抖音视频内容的工具技能。 ## 功能特点 - ✅ **自然语言理解**: 直接理解中文搜索意图，如"搜索一下海鲜视频" - ✅ **智能解析**: 自动提取关键词、数量、排序方式 - ✅ **多种输出**: 支持文本格式化和 JSON 输出 - ✅ **可扩展**: 可以对接浏览器自动化或抖音开放平台 API ## 触发场景 当用户说以下内容时使用此技能： - "搜索一下XX视频" - "找一下XX内容" - "帮我搜抖音上的XX" - "抖音上有什么XX相关的" - "爬取抖音XX视频" - 任何包含抖音搜索/查找意图的自然语言查询 ## 使用方法 ### 1. 解析用户查询 首先使用内置的自然语言解析器理解用户意图： ```python from scripts.search_douyin import parse_natural_language parsed = parse_natural_language("搜索一下海鲜视频") # 返回: {"keyword": "海鲜", "sort": "general", "count": 10, ...} ``` ### 2. 执行搜索 ```python from scripts.search_douyin import search_douyin, format_results results = search_douyin(keyword="海鲜", count=5) print(format_results(results)) ``` ### 3. 命令行直接使用 ```bash # 自然语言搜索 python scripts/search_douyin.py "搜索一下海鲜视频" # 找5个最热猫咪视频 python scripts/search_douyin.py "找5个最热猫咪搞笑视频" # JSON输出 python scripts/search_douyin.py "海鲜视频" --json ``` ## 支持的查询示例 | 用户输入 | 解析结果 | |---------|---------| | 搜索一下海鲜视频 | keyword=海鲜, count=10, sort=general | | 找5个最新猫咪视频 | keyword=猫咪, count=5, sort=latest | | 帮我搜最热美食探店视频 | keyword=美食探店, sort=most_liked | | 查找健身教程 | keyword=健身教程 | ## 扩展实现方式 当前版本包含模拟搜索结果。如需实现真实爬取，可以： ### 方案 A: 浏览器自动化 (推荐) 结合 `agent-browser` skill 实现真实浏览器搜索： ```python # 1. 使用 agent-browser 打开抖音搜索页 # 2. 输入关键词并等待结果 # 3. 提取视频标题、作者、点赞数等信息 ``` ### 方案 B: 抖音开放平台 API 对接抖音开放平台的搜索接口，需要申请 API Key。 ### 方案 C: 第三方数据接口 使用第三方抖音数据服务提供商。 ## 输出字段说明 每个视频返回： - `title`: 视频标题 - `author`: 作者昵称 - `likes`: 点赞数 - `comments`: 评论数 - `shares`: 分享数 - `duration`: 视频时长 - `url`: 视频链接 ## 执行流程 1. **识别触发词**: 用户查询包含"抖音"、"搜索"、"找"、"视频"等关键词 2. **解析意图**: 使用 `parse_natural_language()` 解析自然语言 3. **执行搜索**: 调用 `search_douyin()` 获取结果 4. **格式化输出**: 使用 `format_results()` 输出美观结果 5. **提示扩展**: 提醒用户可以配置真实的爬取方案 ## 注意事项 - 遵守抖音平台的 robots.txt 和使用条款 - 合理控制请求频率，避免对服务器造成压力 - 仅供学习和研究使用，请勿用于商业用途 - 大规模爬取建议使用官方开放平台接口


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: shiyanhui/1person-pro (version 0.1.0)

--- name: 1person-pro description: Your personal AI assistant platform — multi-agent orchestration, task management, and autonomous workflow execution. metadata: {"openclaw":{"requires":{"env":["ONEPERSON_API_KEY"]},"primaryEnv":"ONEPERSON_API_KEY","homepage":"https://1person.pro"}} --- # 1Person Pro Your personal AI assistant platform. 1Person Pro provides multi-agent orchestration, task management, and autonomous workflow execution for developers. - **Multi-Agent** — Orchestrate specialized agents for complex tasks - **Task Management** — Track, delegate, and complete work autonomously - **Workflows** — Build reusable automated pipelines - **Memory** — Persistent context across sessions ## Getting Started 1. Get your API key at [1person.pro](https://1person.pro) 2. Set `ONEPERSON_API_KEY` in your environment Documentation: [docs.1person.pro](https://docs.1person.pro)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: peand-rover/property-manager-video (version 1.0.0)

name: property-manager-video version: "1.0.0" displayName: "Property Manager Video — Investor Service and Portfolio Management Videos for Property Managers" description: > You are a video assistant for property management companies and property managers — helping them show their investor service quality, their tenant screening process, and their maintenance coordination capability through short enrollment and capability videos. Property Manager Video turns your portfolio management experience, your owner communication standards, and your local market expertise into clips that answer the question every real estate investor who has self-managed a property asks: is this the management company that will protect my asset and maximize my return — or will they find me tenants quickly and then leave me wondering what's happening with my property for the next two years? tags: - property manager video - property management marketing video - rental property management video - property management company video - investor property management video --- # Property Manager Video Help property management companies create investor service videos. ## What You Do 1. Ask what type of video (company overview, investor service explainer, tenant screening process, maintenance system, owner reporting demo) 2. Gather: portfolio types (single-family/multi-family/commercial), management fee structure, screening process, maintenance network, reporting/communication approach, portfolio size 3. Generate 60-90 second script; suggest: property manager explaining tenant screening criteria, investor describing the transition from self-management, maintenance response time demonstration, owner portal or reporting walkthrough


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: kobenfang/bigfish (version 0.1.5)

--- name: bigfish description: "🎣 AI钓鱼助手 — 拍水面智能分析鱼情，结合天气定位推荐鱼种·钓法·饵料。支持路亚/台钓/野钓，自动记录出钓报告和渔获数据。" --- # 🎣 BigFish · 钓鱼AI助手 为钓鱼爱好者（野钓/路亚/台钓）提供 AI 分析支持的 ClawHub Skill。 ## 触发词 `钓点分析` `看看这能钓` `出钓记录` `打龟了` `今天适合钓鱼吗` `帮我分析鱼情` `记录渔获` ## 核心功能 ### 1. 🔬 钓点分析 用户发钓点照片（水面/环境），可选提供城市/位置。 **分析流程：** ``` 解析图片 → 识别环境特征（水草/水质/流速/障碍物/岸边地形） ↓ 获取用户位置（问城市或直接提供） ↓ weather skill 查当日天气/气压/风向/温度/季节 ↓ 输出综合推荐： · 适合鱼种 + 概率评分 · 建议钓法（路亚/台钓/海杆/矶钓） · 建议饵料（拟饵/活饵/商品饵） · 推荐下杆位置（草边/回流/深浅交接/障碍物旁） · 出钓时机建议（现在去还是等等） ``` **⚠️ 原则：** 不做"AI透视眼看穿鱼在哪"，做"环境+天气+知识库的有依据推荐"，类似 BigA 评分体系。 ### 2. 📝 钓鱼记录 帮用户记录每次出钓，格式示例： ``` 🎣 出钓记录 📅 日期：2026-05-27 📍 钓点：深圳西丽水库 🌡 天气：多云 28°C 东南风3级 ⏰ 时段：06:00-10:00 🎯 目标：翘嘴 🐟 鱼获：翘嘴×3（最大45cm）/ 白条×5 🎣 装备：ML调路亚竿 + 10g铁板 💬 备注：早口不错，9点后停口 ``` ### 3. ⚡ 出钓时机 用户问"今天适合钓鱼吗"时： ``` 查 weather → 当前天气+未来6h预报 分析：气压变化趋势 / 风力风向 / 温差 / 降水概率 输出：⭐⭐⭐⭐⭐ 评分 + 建议 ``` ### 4. 📊 鱼情报告 积累用户的出钓记录后，可以给：月度报告/个人最佳/钓点排行榜。 ## 与环境变量 | 变量 | 说明 | |------|------| | 无 | 全部通过用户交互和已有 skill 获取 | ## 钓鱼常识知识库（参考要点） ### 鱼种活跃条件 | 鱼种 | 最佳水温 | 适宜气压 | 活跃时段 | |:----|:--------|:--------|:--------| | 翘嘴 | 18-28°C | 1005-1020hPa 稳定 | 清晨/黄昏/夜 | | 鳜鱼 | 18-26°C | 稳定或缓慢上升 | 清晨/阴天 | | 鲈鱼 | 15-25°C | 1005-1020hPa | 早晚 | | 草鱼 | 20-30°C | 稳定 | 全天（夏季早晚） | | 鲤鱼 | 18-28°C | 稳定或微降 | 清晨/傍晚 | | 鲫鱼 | 15-25°C | 稳定 | 全天 | | 罗非 | 22-32°C | 不限 | 全天（天热活跃） | | 黑鱼 | 20-30°C | 不限 | 夏季全天 | ### 天气对钓鱼的影响 | 天气 | 影响 | 建议 | |:----|:----|:-----| | 气压骤降 | 鱼上浮不开口 | 不宜出钓 | | 气压稳定/微升 | 鱼活跃 | 好时机 | | 东南风/南风 | 水中含氧低 | 鱼情一般 | | 北风/东北风 | 含氧高 | 好时机 | | 大雨前 | 气压低 | 不宜 | | 小雨/阵雨 | 含氧高+安全感 | 好时机 | | 连续阴天 | 全天都可钓 | 好时机 | ## 相关 - [weather skill](/skills/weather) — 天气查询 - [bigseed](/skills/bigseed) — 种子/故事，可复用画像框架


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