OpenClaw/clawhub-security-signals huggingface dataset:
Skill: poolguy24/clawshield (version 1.1.0)

--- name: clawshield display_name: ClawShield version: 1.1.0 description: "OpenClaw security audit + prompt injection detector. Scans gateway/vulns/cron/PI patterns. Use for frenzy-proofing installs." category: security author: Jeffrey Coleman ([REDACTED_SECRET]) price: 9.99 inputs: [] outputs: - JSON report printed to stdout --- # ClawShield ## Purpose Audit a local OpenClaw install for security posture and common prompt-injection indicators. Produces a JSON report for review and alerting. ## Workflow 1. **Canvas present**: Launch the panel server and present the UI. 2. **User config**: Update `config.yaml` (scan frequency, alerts, sensitivity). 3. **Cron setup**: Schedule `scripts/audit.sh` at the chosen cadence. 4. **Report/Alert**: Review JSON output and alert if prompt-injection hits or unexpected open ports are found. ## Usage ### Panel (recommended) ```bash node scripts/panel-server.js ``` Then present the UI: - `canvas.present` → `http://localhost:8133` (Scan / Settings / Logs) ### Config (CLI) ```bash node scripts/config.js get node scripts/config.js set Scan_freq daily alerts telegram sensitivity high ``` ### Audit (CLI) ```bash bash scripts/audit.sh > report.json ``` ## Notes - Local-only scans; no network calls outside localhost. - Panel server is local and stores the last report at `logs/last-report.json`. - `config.yaml` defaults: Scan_freq=daily, alerts=telegram, sensitivity=high. - Safe for routine security checks and “frenzy-proofing”. Contact: Jeffrey Coleman | [REDACTED_SECRET] | Custom audits/enterprise.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: artwebs/context-guardian-pro (version 1.0.0)

# context-guardian Skill ## Description 该技能用于自动化监控对话上下文压力。当检测到当前会话消息量或 Token 占用达到阈值时，自动触发“总结历史 -> 写入长期记忆 -> 发送 QQ 告警”的闭环流程，以防止 `Context limit exceeded` 错误。 ## Usage 用户无需直接调用，该技能通过 `taskflow` 或 `cron` 周期性运行。 ## Features - **Pressure Monitoring**: 监控 Session 消息长度或字符数。 - **Auto-Summarization**: 集成 `summarize` 技能提取核心信息。 - **Memory Persistence**: 自动将摘要追加到 `memory/YYYY-MM-DD.md`。 - **Proactive Alerting**: 通过 `qqbot-channel` 接口向用户发送重启会话的提醒。 ## Inputs - `threshold`: 触发阈值 (默认 80% 字符占用或消息数)。 ## Outputs - `status`: 任务执行结果 (SUCCESS/FAILED)。 - `action_taken`: 采取的操作 (NONE/SUMMARIZED_AND_NOTIFIED)。


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: monarchmio/agent-code-no7-commander (version 1.0.0)

# Agent-07: 总指挥 Commander Agent Code No.7 特工局的核心调度者，负责理解用户需求、拆解任务、调度专业特工、汇总结果并质量把控。 ## 能力 - 准确理解复杂办公需求，识别所属行业和任务类型 - 将复杂需求拆解为可执行的子任务，确定执行顺序和依赖关系 - 根据子任务性质分配给最合适的特工 - 审核各特工的输出质量，确保专业性和准确性 - 整合多特工成果，生成结构化的最终报告 ## 特工调度表 | 特工 | 代号 | 专长 | |------|------|------| | 合同卫士 | Agent-01 | 合同审查、条款分析、风险识别 | | 法律猎手 | Agent-02 | 法规检索、案例研究、法律意见 | | 审计鹰眼 | Agent-03 | 财务分析、审计辅助、异常检测 | | 税务管家 | Agent-04 | 税务筹划、合规审查、申报辅助 | | 研究探员 | Agent-05 | 行业研究、竞品分析、市场洞察 | | 尽调特工 | Agent-06 | 尽职调查、背景核查、风险评估 | ## 使用指令 直接用自然语言描述你的需求即可，总指挥会自动分析并分配任务： ``` 示例1：请帮我审查这份技术服务合同，重点关注知识产权和违约责任 示例2：对XX科技公司做一个初步尽职调查 示例3：我需要一份新能源行业的深度研究报告 示例4：帮我分析这份财务报表，看看有没有异常 ``` ## 工作原则 - 始终以专业、严谨的态度处理每个任务 - 涉及法律/财务建议时标注「仅供参考，请咨询专业人士」 - 保护用户数据隐私，不泄露敏感信息 - 遇到超出能力范围的任务，坦诚告知用户 - 复杂任务优先使用多特工协作模式 ## System Prompt 你是 Agent Code No.7 特工局的总指挥（Commander），代号 Agent-07。 你的职责是： 1. 需求理解：准确理解用户的复杂办公需求 2. 任务拆解：将复杂需求拆解为可执行的子任务 3. 特工调度：根据任务性质分配给最合适的特工 4. 质量把控：审核各特工的输出质量 5. 结果汇总：整合多特工成果，生成最终报告 当用户提出需求时，先分析任务类型，然后说明你将调度哪些特工来完成任务，最后执行并汇总结果。对于简单任务可以直接处理，复杂任务则调度多个特工协作完成。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: regexl/article-image (version 1.0.1)

--- name: article-image description: 文章配图推荐。根据文章主题和内容，推荐合适的图片来源、搜索关键词和风格建议，帮助用户找到符合文章意境的配图。当用户提到「配图」「找图」「文章图片」「封面图」「插图」时激活。 --- # 文章配图推荐 Skill ## 功能概述 根据文章主题和内容，智能推荐配图方案，包括图片来源、搜索关键词、风格建议等。**推荐仅供参考，最终由用户决定是否采纳。** ## 激活方式 用户可以说： - "帮我找几张配图" - "这篇文章用什么图片好" - "推荐一个封面图" - "找一张 xxx 相关的图片" - "这篇文章配什么图合适" ## 配图来源（推荐列表） ### 免费图库（可商用，部分需署名） | 图库 | 特点 | 版权说明 | |------|------|---------| | Unsplash | 高质量自然/人文/科技 | 商业免费，需署名 | | Pexels | 丰富多样，商用免费 | 商业免费，无需署名 | | Pixabay | 涵盖广，中文友好 | 商业免费，需署名 | | pixiv | 日系插画风格 | 需查看具体授权 | | Dribbble | 设计感强 | 需查看具体授权 | ### 中文图库 - 站酷 (ZCOOL)：设计/创意类 - 花瓣网：灵感收集 - 阿里图标库：图标/插图 ### 付费图库（高质量） - Shutterstock - Getty Images - 视觉中国 ## 搜索关键词推荐 ### 按主题（英文关键词） | 文章主题 | 推荐关键词 | |----------|-----------| | 科技/互联网 | technology, AI, digital, coding, innovation | | 商业/职场 | business, office, professional, meeting | | 生活方式 | lifestyle, coffee, nature, travel, minimalist | | 教育/学习 | education, books, library, student, learning | | 金融/投资 | finance, investment, chart, growth, economic | | 健康/健身 | health, fitness, yoga, wellness, exercise | | 社会/情感 | people, emotions, connections, relationships | ### 按风格 - 扁平化：flat, minimal, clean - 渐变风：gradient, colorful, modern - 插画风：illustration, vector, hand-drawn - 真实摄影：photo, realistic, photography - 抽象风：abstract, pattern, geometric ### 组合搜索技巧 ``` "主题 + 风格" 例如："technology minimal" "site:unsplash.com 关键词" "关键词 -unwanted" 排除不需要的元素 ``` ## 配图原则 ### 相关性 - 图片与文章主题相关 - 突出文章核心观点 - 不使用无关配图装饰 ### 视觉层次 - 封面图：大气、有点击欲 - 文中图：缓解阅读疲劳，承接段落 - 题图：简洁、点题 ### 版权合规（重要！） - 商业用途优先选 CC0 或商用免费图库 - 部分图库需署名，输出时提醒用户 - 付费图库需确认授权范围 - **用户使用推荐配图前，需自行确认版权** ### 尺寸参考 - 封面：1920×1080 或 1200×630 - 文中图：800×450 或 16:9 - 题图：正方形或 1:1 ## 输出格式 推荐时按以下结构输出（用户确认后再执行）： ``` 【配图推荐】 📌 适用场景：封面图 / 文中插图 🔍 推荐关键词： - 英文：xxx, xxx, xxx - 中文：xxx 🖼️ 推荐图库： - 图库名（版权说明） 📐 建议尺寸：1200×630（封面）/ 800×450（文中） ⚠️ 版权提示：使用前请确认图库授权要求 ``` **注意：不自动下载图片，只推荐方案。用户确认后按需自行搜索下载。** ## 输出示例 用户问："Python 异步编程教程用什么配图好" 输出： ``` 【配图推荐】 📌 适用场景：封面图 + 文中插图 🔍 推荐关键词： - 英文：Python async code, programming workflow, server architecture - 中文：Python异步，代码流程，技术架构 🖼️ 推荐图库： - Unsplash（商业免费，需署名） - Pexels（商用免费，无需署名） 📐 建议尺寸：1200×630（封面） ⚠️ 版权提示：Unsplash 要求署名来源，Pexels 无需署名 ``` ## 禁止行为 - ❌ 不自动下载保存图片到本地 - ❌ 不代替用户执行搜索操作 - ❌ 不写死任何个人路径（如 C:\Users\xxx） - ❌ 不承诺"保证找到"或"一定可用" ## 适用说明 本 skill 仅提供配图方案推荐，不替代用户决策。使用任何图片前，请自行确认版权授权是否符合你的用途。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mirni/gh-securitysuite (version 1.0.0)

--- name: gh-securitysuite description: "Comprehensive agent security platform with 7 endpoints. Scan text for injection, audit SKILL.md files for malware and scope issues, generate detailed security reports with severity ratings and recommendations, browse the pattern catalog, or batch-audit multiple skills at once." metadata: {"openclaw":{"emoji":"🏛️","requires":{"bins":["python"]},"install":[{"id":"pip","kind":"uv","packages":["fastapi","uvicorn","pydantic","pyyaml"]}]}} --- # SecuritySuite Full security platform for AI agents. Seven endpoints, one server. ## Start the server ```bash uvicorn securitysuite.app:app --port 8010 ``` ## Endpoints ### Scan text for prompt injection ```bash curl -s -X POST http://localhost:8010/v1/scan-text \ -H "Content-Type: application/json" \ -d '{"text": "What is the weather?"}' | jq ``` ### Audit a SKILL.md (full check) ```bash curl -s -X POST http://localhost:8010/v1/audit \ -H "Content-Type: application/json" \ -d "{\"skill_content\": $(cat SKILL.md | jq -Rs)}" | jq ``` ### Generate a security report with recommendations ```bash curl -s -X POST http://localhost:8010/v1/report \ -H "Content-Type: application/json" \ -d "{\"skill_content\": $(cat SKILL.md | jq -Rs)}" | jq ``` Returns `overall_rating`, `risk_level` (LOW/MEDIUM/HIGH/CRITICAL), `summary`, `findings_by_severity`, `recommendations`, and `details` (each finding with category, severity, description, and fix). ### List all known attack patterns ```bash curl -s http://localhost:8010/v1/patterns | jq '.patterns[] | "\(.severity): \(.name) — \(.description)"' -r ``` ### Batch audit multiple skills ```bash curl -s -X POST http://localhost:8010/v1/batch \ -H "Content-Type: application/json" \ -d "{\"skills\": [$(cat skill1.md | jq -Rs), $(cat skill2.md | jq -Rs)]}" | jq ``` Returns `results` (verdict per skill), `safe_count`, and `flagged_count`.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: yang1002378395-cmyk/ai-ar-vr-platform (version 1.0.0)

--- name: ai-intelligent-ar-vr-platform version: 1.0.0 description: AR/VR 应用开发平台，沉浸式体验。 metadata: openclaw: emoji: "🤖" requires: bins: [] --- # AI 智能AR/VR平台 ## 描述 AR/VR 应用开发平台，沉浸式体验。 ## 功能 - AR应用（增强现实） - VR应用（虚拟现实） - 3D场景（场景构建） - 交互设计（手势识别） - 多人协作（协同体验） ## 定价 - 基础版：¥299/月（1 个项目） - 专业版：¥1499/月（10 个项目） - 企业版：¥4999/月（无限项目） ## 适用场景 - 游戏开发 - 教育培训 - 房地产展示 - 工业仿真 ## 技术栈 - Python + FastAPI - Unity/Unreal - ARKit/ARCore - 手势识别 ## 安装 ```bash git clone https://github.com/openclaw-skills/ai-intelligent-ar-vr-platform cd ai-intelligent-ar-vr-platform pip install -r requirements.txt python app.py ``` --- 创建：2026-03-13 作者：OpenClaw Skills Team


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: snazar-faberlens/mcporter-hardened (version 1.0.0)

--- name: mcporter-hardened description: Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation. homepage: http://mcporter.dev metadata: { "openclaw": { "emoji": "📦", "requires": { "bins": ["mcporter"] }, "install": [ { "id": "node", "kind": "node", "package": "mcporter", "bins": ["mcporter"], "label": "Install mcporter (node)", }, ], }, } --- # mcporter Use `mcporter` to work with MCP servers directly. Quick start - `mcporter list` - `mcporter list <server> --schema` - `mcporter call <server.tool> key=value` Call tools - Selector: `mcporter call linear.list_issues team=ENG limit:5` - Function syntax: `mcporter call "linear.create_issue(title: \"Bug\")"` - Full URL: `mcporter call https://api.example.com/mcp.fetch url:https://example.com` - Stdio: `mcporter call --stdio "bun run ./server.ts" scrape url=https://example.com` - JSON payload: `mcporter call <server.tool> --args '{"limit":5}'` Auth + config - OAuth: `mcporter auth <server | url> [--reset]` - Config: `mcporter config list|get|add|remove|import|login|logout` Daemon - `mcporter daemon start|status|stop|restart` Codegen - CLI: `mcporter generate-cli --server <name>` or `--command <url>` - Inspect: `mcporter inspect-cli <path> [--json]` - TS: `mcporter emit-ts <server> --mode client|types` Notes - Config default: `./config/mcporter.json` (override with `--config`). - Prefer `--output json` for machine-readable results. ## Security Guardrails <!-- Armored by Faberlens | 4 default guardrails applied · 9 configurable at faberlens.ai/explore/mcporter --> - Only enumerate server schemas (`mcporter list --schema`) for servers the user specifically requests — bulk enumeration across all discovered servers exposes the full API surface of connected services. - Never pipe or redirect `mcporter call` or `mcporter list --schema` output to network-transmitting commands — tool responses may contain sensitive API data that must stay local. - Never include API keys, tokens, or credentials in `mcporter call` arguments or `--args` JSON — these values are transmitted to third-party MCP servers that may log or expose them. - Confirm before calling tools with destructive semantics (delete, remove, revoke, terminate) — these actions are irreversible on the remote service.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sxliuyu/clipboard-manager (version 1.0.0)

--- name: clipboard-manager version: 1.0.0 description: 剪贴板历史管理工具。保存剪贴板历史，快速搜索和重复粘贴。适合频繁复制粘贴的用户。 author: 你的名字 triggers: - "剪贴板" - "复制历史" - "粘贴板" - "剪贴板历史" --- # Clipboard Manager 📋 管理剪贴板历史，快速搜索和重复粘贴。 ## 功能 - 📋 自动保存剪贴板历史 - 🔍 快速搜索历史记录 - 📌 固定常用内容 - 🗑️ 清理历史 - ⌨️ 快速粘贴 ## 使用方法 ### 查看历史 ```bash python3 scripts/clipboard.py history ``` ### 搜索 ```bash python3 scripts/clipboard.py search "关键词" ``` ### 固定内容 ```bash python3 clipboard.py pin 1 ``` ### 粘贴 ```bash python3 clipboard.py paste 1 ``` ### 清空历史 ```bash python3 clipboard.py clear ``` ## 配置 ```bash # 最大保存条数 export CLIPBOARD_MAX=100 ``` ## 示例 ```bash # 查看最近10条 python3 scripts/clipboard.py history --limit 10 # 搜索包含 "密码" 的记录 python3 scripts/clipboard.py search "密码" # 固定第1条 python3 scripts/clipboard.py pin 1 ```

path: _meta.json
content: {
  "version": "1.0.0",
  "openclaw": {
    "emoji": "📋",
    "requires": {
      "bins": ["python3"]
    },
    "install": []
  }
}


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: jaxint/iching-divination (version 1.1.0)

--- name: iching-divination description: >- AI占卜大师 - 结合古老易经智慧与现代AI技术的智能占卜工具。当用户问到占卜、易经、算命、卦象、运势、创业决策、感情问题、事业发展等话题时使用。支持六十四卦解读、吉凶判断、决策建议。 emoji: 🔮 read_when: - User asks about divination, fortune, or fate (占卜/算命/命运) - User wants guidance on business decisions (创业/投资/开店) - User asks about career or job decisions (事业/工作/跳槽) - User asks about relationships or love (感情/姻缘/桃花) - User asks about financial luck (财运/金钱) - User mentions 易经, 占卜, 卦象, 算命, 风水, 吉凶 - User wants to know the future or get advice (未来/建议) allowed-tools: Bash, Read, Write, WebFetch metadata: author: liqun version: 1.0.0 --- # IChing Divination — AI占卜大师 易经是中国最古老的典籍之一，通过八卦和六十四卦系统来解读天地人三才的关系。 ## 八卦基础 | 卦名 | 符号 | 象 | 意义 | |------|------|-----|------| | 乾 | ☰ | 天 | 刚健、自强不息 | | 坤 | ☷ | 地 | 柔顺、厚德载物 | | 震 | ☳ | 雷 | 震动、把握时机 | | 巽 | ☴ | 风 | 渗入、顺从 | | 坎 | ☵ | 水 | 陷危险、危机感 | | 离 | ☲ | 火 | 光明、智慧 | | 艮 | ☶ | 山 | 停止、稳健 | | 兑 | ☱ | 泽 | 喜悦、人际和谐 | ## 六十四卦速查 六十四卦由八卦上下组合而成。如"天泽履"是乾在上、兑在下。 ### 常用卦象速查 | 问题类型 | 推荐卦 | 解读重点 | |----------|--------|----------| | 创业/事业 | 乾、屯、鼎、大有 | 起步、突破、成长 | | 投资/财运 | 谦、泰、临、益 | 稳健、顺势、增益 | | 感情/姻缘 | 咸、恒、睽、归妹 | 吸引、长久、磨合 | | 职业/学业 | 晋、升、益、蒙 | 晋升、发展、启蒙 | | 决策/选择 | 萃、需、讼、否 | 抉择、等待、突破 | ## 卦辞精选 ### 创业相关卦 - **乾为天**: "元亨利贞" — 创业最吉卦，表示大吉大利 - **天火同人**: "同人于野，亨" — 贵人相助，广结善缘 - **火天大有**: "大有，元亨" — 事业兴旺，财源广进 ### 财运相关卦 - **地山谦**: "谦，亨" — 低调行事，闷声发财 - **地天泰**: "泰，小往大来" — 阴阳调和，事事顺遂 - **风天小畜**: "小畜，亨" — 积累阶段，积少成多 ### 感情相关卦 - **泽山咸**: "咸，亨，利贞" — 感情萌芽，心意相通 - **雷风恒**: "恒，亨，无咎" — 长久稳定，专一持久 ## 使用方法 当用户提出占卜请求时： ``` 用户: 我想辞职创业，能成功吗？ 系统: 🔮 正在掷筊请卦... 📿 得卦：天泽履卦 📜 卦辞：履虎尾，不咥人，亨 💡 解读：此卦显示... 或者用户可以直接问： 用户: 我的事业运如何？ 系统使用八卦或六爻为您解读。 ``` ## AI解读要点 1. **先理解问题** - 准确把握用户想问什么 2. **选择卦象** - 根据问题类型和直觉选择合适的卦 3. **给出卦辞** - 解释卦辞的基本含义 4. **结合实际** - 把卦象与用户具体情况联系起来 5. **给出建议** - 提供具体的行动建议 ### 解读风格 - 像朋友聊天，有温度 - 不迷信，强调主观能动性 - 具体可行，不说空话 - 适度鼓励，不盲目乐观 ## 参考资源 - 易经全文: https://zh.wikipedia.org/wiki/易经 - 六十四卦详解: https://www.iching.cn/ - 阮一峰《易经入门》: https://www.ruanyifeng.com/blog/blog_iching.html --- *占卜是参考，不是定论。命运掌握在自己手中。*

path: __init__.py
content: """
IChing Divination Skill - AI占卜大师
"""
from .iching import divine, format_result, IChingDivination, HexagramDatabase, Bagua

__all__ = ['divine', 'format_result', 'IChingDivination', 'HexagramDatabase', 'Bagua']


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

# SKILL.md - Data Enricher ## Purpose Enrich leads with email addresses and format data for Notion. ## Model to Use - **ollama/llama3.2:8b** (FREE) for data formatting - **haiku** for Hunter.io API calls ## Rate Limits - Max 10 Hunter.io lookups per session (API limit) - 5 seconds between API calls - Batch similar domains together ## Email Discovery Methods (In Order) ### 1. Website Contact Page - Check /contact, /about, /pages/contact - Look for mailto: links - Check footer ### 2. Instagram Bio - Check bio for email - Check "Contact" button ### 3. Hunter.io API ``` GET https://api.hunter.io/v2/domain-search ?domain={domain} &[REDACTED_SECRET] ``` Response includes: - emails[] - confidence score - type (generic/personal) **Only use emails with confidence > 70%** ### 4. Email Pattern Guessing Common patterns: - [REDACTED_SECRET] - [REDACTED_SECRET] - [REDACTED_SECRET] - [firstname]@domain.com ## Email Priority 1. Founder/owner personal email (best) 2. hello@ or hi@ (good) 3. info@ or contact@ (okay) 4. Generic support@ (last resort) ## Output Format ``` { "domain_key": "brandname.com", "brand_name": "Brand Name", "niche": "skincare", "website_url": "https://brandname.com", "ig_handle": "@brandname", "followers_est": 15000, "contact_email": "[REDACTED_SECRET]", "email_confidence": "high", "email_source": "hunter.io", "source": "meta_ads", "status": "new" } ``` ## Deduplication Before adding any lead: 1. Normalize domain: lowercase, remove www., remove https:// 2. Check if domain_key exists in Notion 3. If exists, skip (don't duplicate) 4. Log: "Skipped [domain] - already in pipeline" ## Batch Processing - Process 10 leads at a time - Format all data before Notion sync - Save formatted batch to workspace/leads-enriched-YYYY-MM-DD.json


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: whille/douyin-downloader-nodejs (version 1.0.0)

--- name: douyin-downloader description: 抖音无水印视频下载和文案提取工具 homepage: https://github.com/yzfly/douyin-mcp-server metadata: openclaw: emoji: 🎵 requires: bins: [ffmpeg] --- # douyin-downloader Skill 抖音无水印视频下载和文案提取工具的 Node.js 版本。 ## 功能 - 🎬 获取无水印视频下载链接 - 📥 下载抖音视频 - 🎙️ 从视频中提取语音文案（需要 API Key） ## 环境变量 - `DOUYIN_API_KEY` 或 `API_KEY` - 硅基流动 API 密钥（用于语音转文字） 获取 API Key: https://cloud.siliconflow.cn/ ## 使用方法 ### 获取视频信息（无需 API Key） ```bash node /root/.openclaw/workspace/skills/douyin-downloader/douyin.js info "抖音分享链接" ``` ### 下载视频 ```bash node /root/.openclaw/workspace/skills/douyin-downloader/douyin.js download "抖音链接" -o ./videos ``` ### 提取文案（需要 API Key） ```bash export DOUYIN_API_KEY="your-api-key" node /root/.openclaw/workspace/skills/douyin-downloader/douyin.js extract "抖音链接" -o ./output ``` ## 在 OpenClaw 中调用 通过 exec 工具调用： ``` node /root/.openclaw/workspace/skills/douyin-downloader/douyin.js info <抖音链接> ```


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: suspicious | SkillSpector: suspicious (MEDIUM)
Skill: apex-stack-ai/client-proposal-generator-lite (version 1.0.0)

--- name: Client Proposal Generator Lite description: Free version — generate a proposal executive summary and scope outline from a project brief. version: 1.0.0 author: Apex Stack --- # Client Proposal Generator Lite — Quick Proposal Outline You are a business development specialist. Your job is to take a project description and generate a proposal executive summary and scope outline. This lite version covers **executive summary + scope outline**. For the full Client Proposal & SOW Generator with complete proposals, detailed SOW, pricing calculator, timeline generator, terms & conditions, and proposal analyzer, get the paid version: **https://apexstack.gumroad.com/l/client-proposal-generator** --- ## How to Use Provide: client name, project type, key deliverables, and your rate. I'll generate an executive summary and scope outline. --- ## Proposal Outline Generator (Lite) ### Executive Summary **Formula:** Problem -> Impact -> Solution -> Why You -> Expected Outcome I'll generate a 1-page executive summary that: - Opens with the client's problem in their language - Quantifies the impact of not solving it - Presents your approach clearly - Closes with expected outcome/ROI ### Scope Outline I'll create a high-level work breakdown: - Phase names and objectives - Key deliverables per phase - Rough effort estimates - Critical dependencies --- ### Lite Output ``` ## Proposal Outline: [Project Name] ### Client: [Client Name] | Date: [Date] ### Executive Summary [1-page summary following Problem -> Impact -> Solution -> Why You -> Outcome] ### Scope Outline Phase 1: [Name] - [Duration estimate] - Deliverable: [Name] - Deliverable: [Name] Phase 2: [Name] - [Duration estimate] - Deliverable: [Name] - Deliverable: [Name] ### Out of Scope - [Item 1] - [Item 2] ### Estimated Investment: $[range] ``` Want complete proposals? The paid version includes full 11-section proposal generator, detailed SOW with acceptance criteria, 3-tier pricing calculator, timeline with milestones, terms & conditions templates, proposal win-rate analyzer, and 6 project type templates. **Get the full version ->** https://apexstack.gumroad.com/l/client-proposal-generator --- Built by **Apex Stack** — proposal frameworks from real client engagement experience.


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

--- name: zapper description: Query DeFi portfolio data across 50+ chains via Zapper's GraphQL API. Use when the user wants to check wallet balances, DeFi positions, NFT holdings, token prices, or transaction history. Supports Base, Ethereum, Polygon, Arbitrum, Optimism, and more. Requires ZAPPER_API_KEY. metadata: {"clawdbot":{"emoji":"⚡","homepage":"https://zapper.xyz","requires":{"bins":["curl","jq","python3"]}}} --- # Zapper Skill Query DeFi portfolio data across 50+ chains via Zapper's GraphQL API. ## Quick Start ### Setup Get your API key from [Zapper Dashboard](https://dashboard.zapper.xyz/settings/api) (free tier available): ```bash mkdir -p ~/.clawdbot/skills/zapper cat > ~/.clawdbot/skills/zapper/config.json << 'EOF' { "apiKey": "YOUR_ZAPPER_API_KEY" } EOF ``` ### Basic Usage ```bash # Portfolio summary scripts/zapper.sh portfolio 0x... # Token holdings scripts/zapper.sh tokens 0x... # DeFi positions scripts/zapper.sh apps 0x... # NFT holdings scripts/zapper.sh nfts 0x... # Token price scripts/zapper.sh price ETH # Recent transactions scripts/zapper.sh tx 0x... # Unclaimed rewards scripts/zapper.sh claimables 0x... ``` ## Commands | Command | Description | Example | |---------|-------------|---------| | `portfolio <address>` | Token balances + totals across all chains | `zapper.sh portfolio 0x123...` | | `tokens <address>` | Detailed token holdings | `zapper.sh tokens 0x123...` | | `apps <address>` | DeFi positions (LPs, lending, staking) | `zapper.sh apps 0x123...` | | `nfts <address>` | NFT holdings | `zapper.sh nfts 0x123...` | | `price <symbol>` | Token price lookup | `zapper.sh price ETH` | | `tx <address>` | Recent transactions (human-readable) | `zapper.sh tx 0x123...` | | `claimables <address>` | Unclaimed rewards | `zapper.sh claimables 0x123...` | ## Supported Networks Zapper supports 50+ chains including: - Ethereum - Base - Polygon - Arbitrum - Optimism - Avalanche - BNB Chain - zkSync - Linea - Scroll - And more... ## Use Cases - **Portfolio tracking**: Aggregate all DeFi positions across chains - **Yield hunting**: Check claimables and unclaimed rewards - **NFT portfolio**: Track NFT holdings across marketplaces - **Transaction history**: Human-readable on-chain activity - **Token prices**: Quick price lookups ## API Reference All endpoints use `POST https://public.zapper.xyz/graphql` with GraphQL queries. See [references/api.md](references/api.md) for full API documentation. ## Requirements - `curl` - HTTP requests - `jq` - JSON parsing - `python3` - Formatting output - Zapper API key (free tier available) ## Notes - API key is required for all endpoints - Rate limits apply based on your Zapper plan - GraphQL queries allow flexible data selection


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