OpenClaw/clawhub-security-signals huggingface dataset:
Skill: xjkvbnwe/folder-counter (version 1.0.0)

--- name: folder-counter description: 统计指定文件夹下的文件数量和文件类型分布。当用户需要了解某个目录包含多少文件、或者在建立索引前需要评估文件规模时使用。触发场景：「帮我数一下这个文件夹有多少文件」「这个目录有多少东西」「统计一下这个路径的文件」 --- # Folder Counter - 文件数量统计 ## 功能 快速统计指定文件夹的文件数量和类型分布，用于在执行 GNO 索引前评估规模。 ## 使用方式 ### 快速统计（只计总数，快） ```powershell C:\Users\41049\.openclaw\workspace\skills\folder-counter\scripts\count_files.ps1 -Path "D:\项目作品" -Fast ``` ### 完整统计（计总数 + 文件类型分布） ```powershell C:\Users\41049\.openclaw\workspace\skills\folder-counter\scripts\count_files.ps1 -Path "D:\项目作品" ``` ## 输出示例 ``` === 文件统计结果 === 路径: D:\项目作品 总文件数: 1523 === 文件类型分布（前20）=== .pdf: 450 .docx: 320 .jpg: 280 .png: 150 .md: 120 .doc: 80 .xlsx: 50 (无扩展名): 40 ... ``` ## 决策参考 | 文件数量 | GNO 索引建议 | |---------|-------------| | < 1万 | ✅ 直接索引 | | 1万 ~ 10万 | ⚠️ 可索引，需告知耗时 | | 10万 ~ 50万 | 🚨 需确认，可考虑daemon后台 | | > 50万 | ❌ 建议过滤类型或缩小范围 | ## 注意事项 - 使用 `-Fast` 参数可以显著提升速度（不扫描扩展名） - 大文件夹统计可能需要较长时间，请耐心等待 - 统计结果可作为选择索引策略的依据


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: justoneapi/justoneapi-douyin-ec (version 1.0.2)

--- name: Douyin E-commerce API description: Analyze Douyin E-commerce workflows with JustOneAPI, including item Details. author: JustOneAPI homepage: https://api.justoneapi.com metadata: {"openclaw":{"homepage":"https://api.justoneapi.com","primaryEnv":"JUST_ONE_API_TOKEN","requires":{"bins":["node"],"env":["JUST_ONE_API_TOKEN"]},"skillKey":"justoneapi_douyin_ec"}} --- # Douyin E-commerce This skill wraps 1 Douyin E-commerce operations exposed by JustOneAPI. It is strongest for item Details. Expect common inputs such as `itemId`. ## When To Use It - The user needs item Details on Douyin E-commerce. - The user can provide identifiers or filters such as `itemId`. - The user wants an exact API-backed answer instead of a freeform summary. ## Representative Operations - `getDouyinEcItemDetailV1`: Item Details — Get Douyin E-commerce item details, including price, title, and stock, for product monitoring and competitive analysis ## Request Pattern - 1 operations are available in this skill. - HTTP methods used here: `GET`. - The most common non-token parameters are `itemId`. - All operations in this skill are parameter-driven requests; none require a request body. ## How To Work 1. Read `generated/operations.md` before choosing an endpoint. 2. Start with one of these operations when it matches the user's request: `getDouyinEcItemDetailV1`. 3. Pick the smallest matching operation instead of guessing. 4. Ask the user for any missing required parameter. Do not invent values. 5. Call the helper with: ```bash node {baseDir}/bin/run.mjs --operation "<operation-id>" --token "$JUST_ONE_API_TOKEN" --params-json '{"key":"value"}' ``` ## Environment - Required: `JUST_ONE_API_TOKEN` - This skill uses `JUST_ONE_API_TOKEN` only for authenticated Just One API requests. - Keep `JUST_ONE_API_TOKEN` private. Do not paste it into chat messages, screenshots, or logs. - Get a token from [Just One API Dashboard](https://dashboard.justoneapi.com/en/login?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justoneapi_douyin_ec&utm_content=project_link). - Authentication details: [Just One API Usage Guide](https://docs.justoneapi.com/en/?utm_source=clawhub.ai&utm_medium=referral&utm_campaign=justoneapi_douyin_ec&utm_content=project_link). ## Output Rules - Start with a plain-language answer tied to the Douyin E-commerce task the user asked for. - Include the most decision-relevant fields from the selected endpoint before dumping raw JSON. - When using `getDouyinEcItemDetailV1`, explain why the returned fields answer the user's question. - If the user gave filters such as `itemId`, echo those back so the scope is explicit. - If the backend errors, include the backend payload and the exact operation ID.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: silverfoxchina-gif/em-stockpick (version 1.0.0)

--- name: "DFCF_StockPick" description: "Use eastmoney official website to perform conditional stock selection with natural language. Invoke when user asks to select stocks based on conditions, analyze market trends, or query specific stock selection criteria." --- # 东方财富条件选股 ## 功能描述 使用Python访问东方财富官网，通过自然语言描述执行条件选股，支持各种技术指标和基本面条件的组合查询。 支持以下类型： - **A股**、**港股**、 - **ETF**、**可转债**、**板块** ### **查询示例** query | select-type | \----------|----------| 股价大于1000元的股票、创业板市盈率最低的50只 | A股 | 港股的科技龙头 | 港股 | 今天涨幅最大板块 | 板块 | 规模超2亿的电力ETF | ETF | 价格低于110元、溢价率超5个点的可转债 | 可转债 | ## 快速开始 ### 1\. 命令行调用 ```bash python -m scripts.em_stock_selector --query 股价大于100元的股票；涨跌幅；所属板块 --select-type A股 ``` **参数说明：** | 参数 | 说明 | 必填 | |------|------|------| | `--query` | 自然语言查询条件 | ✅ | | `--select-type` | 查询领域 | ✅ |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: zhaoyaofeng168/mysendemail (version 1.0.1)

# ð§ Send Email Skill ## Usage - Trigger: "发送邮件给xxx"、"给[REDACTED_SECRET]发邮件"、"用邮件通知我结果" - Parameters: - receiver: 收件人邮箱（必填） - subject: 邮件主题（必填） - content: 邮件内容（必填） ## Example ```bash python3 send_mail.py [REDACTED_SECRET] "测试邮件" "这是OpenClaw发送的测试内容"

path: _meta.json
content: {
  "id": "send_email",
  "name": "ð§ send_email",
  "description": "Send emails via SMTP. Use when: user asks to send an email, notify via email, or deliver messages to an email address. NOT for: bulk email sending or spam.",
  "author": "custom",
  "version": "1.0.0",
  "type": "cli",
  "executable": "python3",
  "args": ["/root/.openclaw/workspace/skills/send_email/send_mail.py", "{receiver}", "{subject}", "{content}"],
  "requires": ["python3", "smtplib"],
  "tags": ["email", "notification", "smtp"],
  "enabled": true
}


path: send_mail.py
content: # /root/.openclaw/workspace/skills/send_email/send_mail.py
import smtplib
import sys
from email.mime.text import MIMEText

def send_email(receiver, subject, content):
    # 配置（根据你的企业邮箱修改）
    smtp_server = "smtp.cloudtrend.com.cn"
    smtp_port = 587
    sender = "[REDACTED_SECRET]"
    [REDACTED_SECRET]"

    msg = MIMEText(content, "plain", "utf-8")
    msg["Subject"] = subject
    msg["From"] = sender
    msg["To"] = receiver

    try:
        with smtplib.SMTP(smtp_server, smtp_port) as server:
            server.starttls()
            server.login(sender, password)
            server.send_message(msg)
        return "✅ 邮件发送成功！收件人：{}，主题：{}".format(receiver, subject)
    except Exception as e:
        return "❌ 邮件发送失败：{}".format(str(e))

# 支持命令行传参（方便OpenClaw调用）
if __name__ == "__main__":
    if len(sys.argv) < 4:
        print("用法：python3 send_mail.py <收件人邮箱> <邮件主题> <邮件内容>")
        sys.exit(1)
    receiver = sys.argv[1]
    subject = sys.argv[2]
    content = sys.argv[3]
    print(send_email(receiver, subject, content))


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: goldath/fitness-coach-cn (version 1.0.0)

--- name: fitness-coach-cn description: > Create personalized Chinese fitness training plans based on goals, fitness level, available equipment, and schedule. Use when someone needs a structured workout program for weight loss, muscle building, endurance, or general fitness — with exercise instructions, weekly schedules, and progress tracking. --- # 健身训练计划制定助手 ## 使用场景 - 根据个人情况制定个性化训练计划 - 解释动作要领和常见错误 - 规划减脂/增肌/塑形/提升耐力等目标 - 提供营养搭配和恢复建议 ## 信息收集工作流 开始前先询问用户： ``` 📋 请提供以下信息（可以简短回答）： 1. 健身目标：减脂 / 增肌 / 塑形 / 提升体能 / 其他？ 2. 当前健身水平：新手（<3个月）/ 初级（3-12个月）/ 中级（1-3年）/ 高级？ 3. 可用设备：无器械（居家）/ 哑铃 / 健身房全套 / 其他？ 4. 每周可训练天数：2-3天 / 4-5天 / 6天+？ 5. 每次训练时长：30分钟 / 45分钟 / 60-90分钟？ 6. 年龄、性别（可选）： 7. 身体限制或受伤史（可选）： ``` ## 训练计划生成框架 ### 减脂计划模板（示例：新手 · 3天/周 · 无器械） ```markdown ## 🔥 减脂训练计划 | 新手 | 3天/周 | 居家 **训练原则**：HIIT + 基础力量，提升代谢率 --- ### 第一天：全身 HIIT（周一）40分钟 **热身** 5分钟 - 原地高抬腿 × 30秒 × 2组 - 动态拉伸（肩、髋、踝） **主训练** 30分钟（循环3轮，组间休息60秒） 1. 深蹲 × 15个 2. 俯卧撑 × 10个（可膝盖着地） 3. 弓步蹲（左右各10次） 4. 平板支撑 × 30秒 5. 波比跳 × 8个 6. 卷腹 × 20个 **拉伸放松** 5分钟 --- ### 第二天：有氧+核心（周三）40分钟 ... ### 第三天：下肢力量（周六）45分钟 ... ``` ### 增肌计划模板（示例：中级 · 5天/周 · 健身房） ```markdown ## 💪 增肌训练计划 | 中级 | 5天推拉腿分化 **训练原则**：渐进超负荷，每2周增加重量或次数 | 日期 | 训练内容 | |------|---------| | 周一 | Push（胸、肩、三头）| | 周二 | Pull（背、二头）| | 周三 | Legs（腿、臀）| | 周四 | 休息 / 主动恢复 | | 周五 | Push | | 周六 | Pull | | 周日 | Legs | ### Push Day 详细安排 1. 卧推 4组 × 6-8次（主力） 2. 哑铃上斜飞鸟 3组 × 10-12次 3. 坐姿推举 3组 × 8-10次 4. 侧平举 3组 × 12-15次 5. 绳索下压 3组 × 12-15次 ``` ## 动作要领说明格式 ```markdown ### 深蹲（Squat） **目标肌群**：股四头肌、臀大肌、腘绳肌 **正确姿势** - 双脚与肩同宽或略宽，脚尖微外展（15-30°） - 挺胸收腹，保持腰椎自然弓度 - 下蹲时膝盖跟随脚尖方向，不内扣 - 大腿下蹲至少平行地面 **常见错误** ⚠️ - ❌ 膝盖内扣（增加损伤风险） - ❌ 背部圆背（腰椎受压） - ❌ 脚跟抬起（踝关节灵活性不足） **进阶/退阶** - 新手：坐椅深蹲（后方放椅子作辅助） - 进阶：杠铃深蹲、保加利亚深蹲 ``` ## 进度追踪建议 ```markdown ## 健身日志模板 日期：____ 训练内容：____ | 动作 | 组数 | 重量 | 次数 | 感受 | |------|------|------|------|------| | 深蹲 | 组1 | 60kg | 8次 | 💪 | | | 组2 | 60kg | 7次 | 😤 | 本次训练评分（1-10）：____ 恢复状态（睡眠/酸痛）：____ ``` ## 营养搭配要点 | 目标 | 热量建议 | 蛋白质 | 注意事项 | |------|---------|--------|---------| | 减脂 | 每日TDEE -300~500kcal | 1.6-2.0g/kg体重 | 不低于1200kcal | | 增肌 | 每日TDEE +200~300kcal | 1.8-2.2g/kg体重 | 训练后30分钟补充蛋白 | | 维持 | 等于TDEE | 1.4-1.8g/kg体重 | 均衡饮食 | ## 参考文件 查看 `references/` 获取居家/健身房动作库、常见伤病预防和分化方案参考。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mjrussell/todoist (version 0.2.1)

--- name: todoist description: Manage tasks and projects in Todoist. Use when user asks about tasks, to-dos, reminders, or productivity. homepage: https://todoist.com metadata: clawdbot: emoji: "✅" requires: bins: ["todoist"] env: ["TODOIST_API_TOKEN"] --- # Todoist CLI CLI for Todoist task management, built on the official TypeScript SDK. ## Installation ```bash # Requires todoist-ts-cli >= 0.2.0 (for --top / --order) npm install -g todoist-ts-cli@^0.2.0 ``` ## Setup 1. Get API token from https://todoist.com/app/settings/integrations/developer 2. Either: ```bash todoist auth <your-token> # or export TODOIST_API_TOKEN="your-token" ``` ## Commands ### Tasks ```bash todoist # Show today's tasks (default) todoist today # Same as above todoist tasks # List tasks (today + overdue) todoist tasks --all # All tasks todoist tasks -p "Work" # Tasks in project todoist tasks -f "p1" # Filter query (priority 1) todoist tasks --json ``` ### Add Tasks ```bash todoist add "Buy groceries" todoist add "Meeting" --due "tomorrow 10am" todoist add "Review PR" --due "today" --priority 1 --project "Work" todoist add "Prep slides" --project "Work" --order 3 # add at a specific position (1-based) todoist add "Triage inbox" --project "Work" --order top # add to top (alternative to --top) todoist add "Call mom" -d "sunday" -l "family" # with label ``` ### Manage Tasks ```bash todoist view <id> # View task details todoist done <id> # Complete task todoist reopen <id> # Reopen completed task todoist update <id> --due "next week" todoist move <id> -p "Personal" todoist delete <id> ``` ### Search ```bash todoist search "meeting" ``` ### Projects & Labels ```bash todoist projects # List projects todoist project-add "New Project" todoist labels # List labels todoist label-add "urgent" ``` ### Comments ```bash todoist comments <task-id> todoist comment <task-id> "Note about this task" ``` ## Usage Examples **User: "What do I have to do today?"** ```bash todoist today ``` **User: "Add 'buy milk' to my tasks"** ```bash todoist add "Buy milk" --due "today" ``` **User: "Remind me to call the dentist tomorrow"** ```bash todoist add "Call the dentist" --due "tomorrow" ``` **User: "Mark the grocery task as done"** ```bash todoist search "grocery" # Find task ID todoist done <id> ``` **User: "What's on my work project?"** ```bash todoist tasks -p "Work" ``` **User: "Show my high priority tasks"** ```bash todoist tasks -f "p1" ``` ## Filter Syntax Todoist supports powerful filter queries: - `p1`, `p2`, `p3`, `p4` - Priority levels - `today`, `tomorrow`, `overdue` - `@label` - Tasks with label - `#project` - Tasks in project - `search: keyword` - Search ## Notes - Task IDs are shown in task listings - Due dates support natural language ("tomorrow", "next monday", "jan 15") - Priority 1 is highest, 4 is lowest - Use `--order <n>` (1-based) or `--order top` to insert a task at a specific position within a project/section


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: raymondxu813-finance/leapcat (version 0.1.1)

--- name: leapcat description: Trade stocks, subscribe to IPOs, manage wallet, complete KYC, and access real-time market data via AI agent. 7 skills for the Leapcat platform. homepage: https://leapcat.ai --- # Leapcat Skills A comprehensive set of 7 AI agent skills for the [Leapcat](https://leapcat.ai) platform. All commands use `npx leapcat@0.1.1` — no global install needed, just Node.js 18+. ## Available Skills ### leapcat-auth Login, logout, session management, token refresh, re-authentication, and trade password operations. ### leapcat-kyc KYC identity verification including document upload, personal info submission, agreements, and status polling. ### leapcat-ipo Browse IPO projects, estimate costs, subscribe, cancel, and monitor subscription status. ### leapcat-trading Place buy/sell stock orders (limit/market), monitor order status, and cancel pending orders. ### leapcat-wallet Check balance, get deposit address, initiate withdrawals, view debt status, and fund activity history. ### leapcat-portfolio View portfolio overview and individual stock positions with unrealized P&L. ### leapcat-market Real-time stock quotes, K-line charts, market indices, stock search, exchange rates, and fee schedules. No authentication required. ## Quick Start Check market data (no login needed): ```bash npx leapcat@0.1.1 market quote --symbol 00700.HK --json npx leapcat@0.1.1 market indices --json ``` Login to access authenticated features: ```bash npx leapcat@0.1.1 auth login --email [REDACTED_SECRET] --send-only --json npx leapcat@0.1.1 auth login --email [REDACTED_SECRET] --otp-id <id> --otp-code <code> --json ``` Then use any skill: ```bash npx leapcat@0.1.1 wallet balance --json npx leapcat@0.1.1 portfolio positions --json npx leapcat@0.1.1 ipo projects --json ``` ## Notes - All commands output JSON when using the `--json` flag - Session tokens are stored locally at `~/.config/leapcat/tokens.json` - Access tokens auto-refresh; re-login only needed after 30 days of inactivity - For sensitive operations (withdrawals), run `npx leapcat@0.1.1 auth reauth --json` first ## Security & Provenance - **Source code**: [github.com/leapcat-ai/leapcat-skills](https://github.com/leapcat-ai/leapcat-skills) - **npm package**: [npmjs.com/package/leapcat](https://www.npmjs.com/package/leapcat) - **Version pinned**: All commands use `npx leapcat@0.1.1` (pinned, not @latest) to prevent supply-chain drift - **Token storage**: `~/.config/leapcat/tokens.json` is created automatically after login; contains JWT access/refresh tokens, not user credentials - **KYC documents**: Only uploaded when the user explicitly provides file paths; the CLI does not scan or access local files automatically - **No env vars required**: Authentication is handled via email OTP, no API keys needed


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: liuyanfeng1234/v19-architecture-white-paper (version 1.0.0)

--- name: v19-architecture-white-paper description: V3.3系统架构白皮书 — V19认知治理协议最高级架构版本。三维耦合引擎（空间冗余×时间调度×结构对齐）整合内部自洽、外部控制、注意力均衡为单一状态机驱动执行流。 version: 1.0.0 author: 思维 (Bacon) --- # V3.3 系统架构白皮书 **版本**: v1.0.0 **日期**: 2026-05-05 --- ## 一、系统概述 V3.3 是 V19 认知治理协议的最高级架构版本，通过三维耦合引擎（空间冗余 × 时间调度 × 结构对齐）将内部自洽性校验、外部依赖控制、注意力均衡调度整合为单一状态机驱动的执行流。 --- ## 二、六环启动自检 系统启动时自动执行六个健康度检查环： | 环序号 | 名称 | 检查内容 | |--------|------|----------| | 第一环 | 内部自洽 | ETHIC_001-007 全量合规校验 | | 第二环 | 外部依赖 | 公开密钥调用量 + msaleme Schema 对接状态 | | 第三环 | 注意力均衡 | AttentionManager 主动速率限制 | | 第四环 | Skill 完整性 | 系统模块文件统计 | | 第五环 | 审计缓存 | 增量缓存引擎命中率 | | 第六环 | 三维引擎 | 空间冗余 × 时间调度 × 结构对齐 | --- ## 三、三维耦合引擎 | 维度 | 模块 | 功能 | |------|------|------| | 空间 | AuditRedundancyEncoder | 多视角冗余编码 | | 时间 | DualFrequencyScheduler + SignalStrengthCalculator | 双频调度 | | 结构 | ConstitutionalGeometricAligner | 条款间几何对齐 | --- ## 四、认知宪法体系 ``` ETHIC_001(外部时效性) → ETHIC_002(身份唯一性) → ETHIC_003(认知时间感知) → ETHIC_004(API原子性) → ETHIC_005(稀疏过滤) → ETHIC_006(注意力均衡) → ETHIC_007(数据主权) ``` --- ## 五、当前运行状态 | 指标 | 值 | |------|-----| | 合规总分 | **0.7995** | | 均衡指数 | **0.3988** | | 六环自检 | ✅ 全环通过 |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: asantssec/openclaw-security-policy-check (version 0.1.0)

--- name: openclaw-security-policy-check description: OpenClaw 网关安全自动化审计与配置检查工具。自动检查 OpenClaw 配置文件中的常见安全风险，执行安全审计。适用于： (1) 定期安全巡检 (2) 部署前安全加固 (3) 发现潜在配置风险 --- # OpenClaw Security Policy Check 自动化安全审计配置工具，检测 OpenClaw 网关常见安全配置问题。 ## 使用方法 ```bash node {baseDir}/scripts/audit.cjs ``` ## 工作流程 1. **读取配置文件**：自动定位 `~/.openclaw/openclaw.json` 2. **检查配置**：5 项关键安全配置 3. **执行审计**：运行 `openclaw security audit --deep` 4. **输出报告**：汇总修复结果和审计发现 ## 检查项说明 | 配置项 | 不安全值 | 安全值 | |--------|----------|--------| | gateway.bind | 0.0.0.0 | 127.0.0.1 | | gateway.auth.token | 短或默认 | 32位强随机 | | controlUi.allowInsecureAuth | true | false | | tools.exec.security | full | allowlist | | tools.exec.ask | off | on-miss | ## 注意事项 - 首次使用建议备份配置文件 - 修改 token 后需要重启网关使配置生效 - 需要有 openclaw 命令行工具


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: dymx101/clap-trader (version 1.0.0)

--- name: Crypto Trader & Analyst description: A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance. --- # Crypto Trader & Analyst Skill This skill allows OpenClaw to analyze the crypto market using technical indicators and news sentiment, record its findings, and execute trades on Binance. ## Dependencies Ensure the following Python packages are installed: ```bash pip install ccxt pandas pandas-ta requests TextBlob ``` *Note: `TextBlob` is suggested for basic sentiment analysis if needed, though simple keyword matching might suffice.* ## Environment Variables You must set the following environment variables for trading: - `BINANCE_API_KEY`: Your Binance API Key. - `BINANCE_API_SECRET`: Your Binance API Secret. **WARNING**: Never share these keys or commit them to version control. ## Workflow ### 1. Market Analysis **Technical Analysis** Run the market data script to get current indicators for a symbol (default ETH/USDT). ```bash python skills/crypto_trader/scripts/market_data.py --symbol ETH/USDT ``` *Output: JSON containing RSI, MACD, close price, etc.* **Sentiment Analysis** Run the sentiment script to fetch latest news headers and forum buzz. ```bash python skills/crypto_trader/scripts/sentiment_data.py ``` *Output: Text/JSON summary of positive/negative news.* ### 2. Decision Making & Logging **Analyze & Record** Based on the outputs from step 1, form a hypothesis. Is the market Bullish, Bearish, or Neutral? Before trading, you **MUST** save your analysis. ```bash python skills/crypto_trader/scripts/logger.py "Your detailed analysis here. E.g., RSI is 30 (oversold) and news is positive. Planning to BUY." ``` ### 3. Execution **Trade** If the analysis supports a trade, execute it. ```bash # Buy 0.01 ETH at Market Price python skills/crypto_trader/scripts/trade.py --symbol ETH/USDT --side buy --amount 0.01 --type market # Dry Run (Test without real money) python skills/crypto_trader/scripts/trade.py --symbol ETH/USDT --side buy --amount 0.01 --dry-run ``` *The trade script will automatically append the transaction to `skills/crypto_trader/logs/trade_history.csv`.* ## Files structure - `scripts/market_data.py`: Fetches OHLCV and calculates indicators. - `scripts/sentiment_data.py`: Fetches news/forum data. - `scripts/logger.py`: Appends analysis to `logs/analysis_journal.md`. - `scripts/trade.py`: Executes trades and logs to `logs/trade_history.csv`. - `logs/`: Directory storing your analysis history and trade logs.


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

--- name: Delegate description: Route tasks to sub-agents with optimal model selection, error recovery, and result verification. --- ## Core Rule Spawn cost < task cost → delegate. Otherwise, do it yourself. ## Model Tiers | Tier | Models | Cost | Use for | |------|--------|------|---------| | Small | Haiku, GPT-4o-mini, Gemini Flash | ~$0.25/1M | Search, summarize, format, classify | | Medium | Sonnet, GPT-4o, Gemini Pro | ~$3/1M | Code, analysis, synthesis | | Large | Opus, o1, Gemini Ultra | ~$15/1M | Architecture, complex reasoning | **Rule of thumb:** Start with smallest tier. Escalate only if output quality insufficient. ## Spawn Checklist Every spawn must include: ``` 1. TASK: Single clear deliverable (not "help with X") 2. MODEL: Explicit tier choice 3. CONTEXT: Only files/info needed (never full history) 4. OUTPUT: Expected format ("return JSON with...", "write to file X") 5. DONE: How to signal completion ``` Check `templates.md` for copy-paste spawn templates. ## Error Recovery | Error Type | Action | |------------|--------| | Sub-agent timeout (>5 min no response) | Kill and retry once | | Wrong output format | Retry with stricter instructions | | Task too complex for tier | Escalate: Small→Medium→Large | | Repeated failures (3x) | Abort, report to user | Check `errors.md` for recovery patterns and escalation logic. ## Verification Never trust "done" without checking: - **Code:** Run tests, check syntax - **Files:** Verify they exist and have content - **Data:** Spot-check 2-3 items - **Research:** Confirm sources exist ## Don't Delegate - Quick tasks (<30 seconds to do yourself) - Tasks needing conversation context - Anything requiring user clarification mid-task


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: fuzzyb33s/discord-task-tracker (version 1.0.1)

--- name: discord-task-tracker description: "Track tasks in Discord using natural language. Add, list, complete, and delete tasks via chat commands. Triggers: add task, track task, todo, my tasks, task list, complete task, delete task, task done" --- # Discord Task Tracker Track your tasks directly from Discord with natural language commands. ## Commands | Command | Description | |---------|-------------| | `add task <description>` | Add a new task | | `list tasks` / `my tasks` / `task list` | Show all tasks | | `complete task <task number>` | Mark a task as done | | `delete task <task number>` | Remove a task | ## Examples ``` add task Finish the Discord bot integration list tasks complete task 1 delete task 2 ``` ## How It Works - Tasks are stored in `tasks.json` in the skill directory - Task numbers are assigned sequentially; use `list tasks` to see current numbers - Completed tasks are removed from the list - All task operations reply directly in the Discord channel


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