OpenClaw/clawhub-security-signals huggingface dataset:
Skill: vincentwilliam/ue-log-analyzer (version 1.0.0)

--- name: ue-log-analyzer description: | Analyze Unreal Engine log files for errors, warnings, crashes, and performance issues. Use when: (1) User provides UE log file, (2) Analyzing crash dumps, (3) Debugging startup issues, (4) Finding performance bottlenecks in UE projects, (5) Checking pak mounting errors, (6) Lua errors in UnLua --- # UE Log Analyzer ## Quick Start Use the `nodes` tool to read log files from the paired computer, or use `read` for local files. ## Common Error Patterns ### Critical Errors (Fatal) ``` LogInit: Session CrashGUID Fatal error: Assertion failed: Ensure condition failed: ``` ### Rendering Issues ``` LogD3D12RHI: Error: LogVulkanRHI: Error: LogRendererCore: Warning: ``` ### Lua/UnLua Errors ``` LogUnLua: Error: LogUnLua: Warning: attempt to index a nil value ``` ### Pak/Loading Errors ``` LogPakFile: Error: LogStreaming: Error: LogAssetRegistry: Error: ``` ### Network Issues ``` LogNet: Warning: LogOnline: Error: ``` ## Analysis Workflow 1. **Find errors**: Search for `Error:|FATAL|CRASH|Assert` 2. **Find warnings**: Search for `Warning:` 3. **Check crash**: Look for `Session CrashGUID` 4. **Lua errors**: Search `LogUnLua:` 5. **Timing**: Check timestamps for hang points ## Project-Specific Patterns For SilverPalace project: - HeSDK errors: `HeSDKLogError:` - Module loading: `MainModule_`, `SubModule_` - VersionUpdate: `MainModule_VersionUpdate` - BigWorld: `MainModule_BigWorld` ## Common Issues & Solutions ### 1. UMG_GeneralTransitions Missing ``` LogStreaming: Error: Couldn't find file for package /Game/UI/VX/VX_Common/UMG/UMG_GeneralTransitions LogUnLua: Error: LoadedAsset is nil ``` **Fix**: Check pak packaging includes this UI asset ### 2. SysStartUpDev nil ``` Error: c_UMG_Login_Announcement.lua:26: attempt to index a nil value (field 'SysStartUpDev') ``` **Fix**: Check Lua config table for SysStartUpDev entry ### 3. Scalability ini error ``` Ensure condition failed: false Scalability.ini can only set ECVF_Scalability console variables ('r.Mobile.AntiAliasing'='2' is ignored) ``` **Fix**: Fix Scalability.ini r.Mobile.AntiAliasing value (0 or 1) ### 4. Shader/PSO errors ``` LogD3D12RHI: Error: Failed to create pipeline state ``` **Fix**: Rebuild shaders or clear shader cache ## Output Format Provide findings in: - Error count by severity (Fatal/Error/Warning) - Timeline of events - Likely root cause - Suggested fixes (优先级排序)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zhishuiyu/nio-enhanced-analysis (version 1.0.0)

--- name: nio-enhanced-analysis description: 增强版NIO股票分析，包括实时价格、技术分析、新闻情绪、操作建议 version: 1.0.0 commands: - /nio_analysis - 分析NIO股票（美股和港股），包括新闻情绪和操作建议 --- # NIO增强分析技能 ## 功能特点 ### 1. 实时价格分析 - NIO美股 (NYSE:NIO) 实时价格 - 蔚来港股 (09866.HK) 实时价格 - 涨跌幅、成交量、市值等关键指标 ### 2. 技术分析 - 支撑位和阻力位分析 - 趋势判断（上涨/下跌/盘整） - 技术指标（RSI、MACD、移动平均线） - 成交量分析 ### 3. 新闻情绪分析 - 当日重大新闻摘要 - 新闻情绪评分（正面/中性/负面） - 新闻影响力评估 - 相关行业新闻 ### 4. 市场情绪分析 - 社交媒体情绪（Twitter/X） - 分析师评级变化 - 机构持仓变化 - 期权市场情绪 ### 5. 操作建议 - 买入/持有/卖出建议 - 目标价格区间 - 止损位建议 - 仓位管理建议 - 风险提示 ## 使用方法 ### 基本命令 ```bash # 分析NIO美股 /nio_analysis us # 分析NIO港股 /nio_analysis hk # 分析两者并对比 /nio_analysis all ``` ### 输出格式 每次分析包含以下部分： 1. 📊 **实时数据** - 价格、涨跌幅、成交量 2. 📈 **技术分析** - 趋势、支撑阻力、技术指标 3. 📰 **新闻摘要** - 当日重大新闻和情绪 4. 😊 **市场情绪** - 社交媒体和分析师情绪 5. 💡 **操作建议** - 具体买卖建议和风险管理 ## 数据来源 - 股票数据：Yahoo Finance、腾讯财经、新浪财经 - 新闻数据：Google News、财经媒体 - 情绪数据：Twitter/X、分析师报告 - 技术分析：基于价格数据的计算 ## 注意事项 1. 本分析仅供参考，不构成投资建议 2. 股市有风险，投资需谨慎 3. 建议结合其他分析工具和自身判断 4. 实时数据可能延迟，请以交易所数据为准


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: cmanfre7/web-deploy (version 1.0.0)

# web-deploy Build and deploy websites, web apps, and APIs to production. ## Local Preview Workflow ```bash # Static site npx http-server ./dist -p 8080 -c-1 # Next.js npm run dev # Development (hot reload) npm run build && npm run start # Production preview # FastAPI uvicorn app.main:app --reload --port 8000 # Vite-based npm run dev # Dev server npm run build && npx serve dist # Production preview ``` ## Deployment Targets ### Vercel (Frontend / Next.js / Static) ```bash # First time setup npx vercel link # Preview deployment npx vercel # Production deployment npx vercel --prod # Environment variables npx vercel env add SECRET_KEY ``` **Best for:** Next.js apps, React SPAs, static sites, serverless functions. **Config:** `vercel.json` (usually not needed for Next.js) ```json { "buildCommand": "npm run build", "outputDirectory": "dist", "framework": "nextjs" } ``` ### Railway (Backend / APIs / Databases) ```bash # First time setup railway login railway init # Deploy railway up # Add database railway add --plugin postgresql # Environment variables railway variables set SECRET_KEY=value # View logs railway logs ``` **Best for:** Backend APIs, databases, long-running processes, Docker containers. ### GitHub Pages (Static Sites) ```bash # Using gh-pages package npm install -D gh-pages # Add to package.json scripts: "deploy": "gh-pages -d dist" npm run build && npm run deploy ``` **Best for:** Documentation, simple static sites, project pages. ### Canvas (Clawdbot Workspace) Deploy to `~/clawd/canvas/` for local serving through the clawdbot gateway. ```bash cp -r ./dist/* ~/clawd/canvas/my-project/ ``` ## Pre-Deploy Checklist - [ ] Build succeeds locally (`npm run build` / `python -m build`) - [ ] No TypeScript/lint errors - [ ] Tests pass - [ ] Environment variables set on target platform - [ ] `.env` / secrets NOT in git - [ ] `robots.txt` and `sitemap.xml` if public site - [ ] Favicon and meta tags set - [ ] HTTPS configured (automatic on Vercel/Railway) - [ ] Error pages (404, 500) configured - [ ] Performance: images optimized, code split, no huge bundles ## Rollback ```bash # Vercel — redeploy previous npx vercel rollback # Railway — redeploy previous railway rollback # Git-based — revert and push git revert HEAD && git push ``` ## Domain Setup ```bash # Vercel npx vercel domains add mydomain.com # DNS: Point CNAME to cname.vercel-dns.com # Or A record to 76.76.21.21 ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: clearlovetop7/weatherclear (version 1.0.0)

--- name: weather description: Get current weather and forecasts (no API key required). homepage: https://wttr.in/:help metadata: {"clawdbot":{"emoji":"🌤️","requires":{"bins":["curl"]}}} --- # Weather Two free services, no API keys needed. ## wttr.in (primary) Quick one-liner: ```bash curl -s "wttr.in/London?format=3" # Output: London: ⛅️ +8°C ``` Compact format: ```bash curl -s "wttr.in/London?format=%l:+%c+%t+%h+%w" # Output: London: ⛅️ +8°C 71% ↙5km/h ``` Full forecast: ```bash curl -s "wttr.in/London?T" ``` Format codes: `%c` condition · `%t` temp · `%h` humidity · `%w` wind · `%l` location · `%m` moon Tips: - URL-encode spaces: `wttr.in/New+York` - Airport codes: `wttr.in/JFK` - Units: `?m` (metric) `?u` (USCS) - Today only: `?1` · Current only: `?0` - PNG: `curl -s "wttr.in/Berlin.png" -o /tmp/weather.png` ## Open-Meteo (fallback, JSON) Free, no key, good for programmatic use: ```bash curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5&longitude=-0.12&current_weather=true" ``` Find coordinates for a city, then query. Returns JSON with temp, windspeed, weathercode. Docs: https://open-meteo.com/en/docs


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: aiescherbot-collab/aiescher-trading-signals (version 1.0.0)

--- name: trading-signals description: Generate trading signals for stocks, indices, crypto, and commodities using TradingView data. Use when user asks for trading signals, technical analysis, buy/sell recommendations, market indicators (RSI, MACD, SMA), or automated market monitoring. Supports real-time data from TradingView and CoinGecko. --- # Trading Signals Generate technical trading signals using TradingView real-time data. ## Capabilities - **Technical Indicators**: RSI, SMA (20/50), MACD, Bollinger Bands - **Signal Generation**: Buy/Sell signals based on indicator combinations - **Asset Coverage**: Indices, stocks, crypto, commodities, forex - **Timeframes**: 15m, 60m, 240m, 1D - **Alerting**: Email notifications for strong signals ## Quick Start ```bash # Analyze default assets node scripts/analyze.js # Analyze specific asset node scripts/analyze.js --symbol BINANCE:BTCUSDT --name Bitcoin # Continuous monitoring (15min intervals) node scripts/monitor.js --interval 15 ``` ## Signal Types | Signal | Indicator | Strength | |--------|-----------|----------| | 🟢 BUY | RSI < 30 (oversold) | Strong | | 🟢 BUY | Golden Cross (SMA20 > SMA50) | Medium | | 🟢 BUY | Price near SMA20 bounce | Weak | | 🔴 SELL | RSI > 70 (overbought) | Strong | | 🔴 SELL | Death Cross (SMA20 < SMA50) | Medium | | 🔴 SELL | Price below SMA20 resistance | Weak | ## Configuration Edit `references/assets.json` to customize monitored assets: ```json { "assets": [ { "symbol": "XETR:DAX", "name": "DAX", "category": "Index", "timeframe": "60" }, { "symbol": "BINANCE:BTCUSDT", "name": "Bitcoin", "category": "Crypto", "timeframe": "60" } ], "alerts": { "email": "[REDACTED_SECRET]", "minStrength": "medium", "rsiThresholds": { "oversold": 30, "overbought": 70 } } } ``` ## Scripts - `scripts/analyze.js` - Single analysis run - `scripts/monitor.js` - Continuous monitoring with alerts - `scripts/lib/tradingview.js` - TradingView API wrapper - `scripts/lib/indicators.js` - Technical indicator calculations - `scripts/lib/email.js` - Email alert sender ## Dependencies - `@mathieuc/tradingview` - TradingView WebSocket API - Node.js built-in `https` for CoinGecko API


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal:  | SkillSpector: suspicious (CRITICAL)
Skill: zorionginn/xiaomi-home-assistant-skill (version 1.0.4)

--- name: xiaomi-home-assistant-skill description: 小米智能家居与 Home Assistant 集成技能，提供设备监控和即时智能建议。所有数据处理在内存中完成，不持久化敏感信息。支持小米灯具、加湿器、传感器、小爱音箱等设备的状态查询和异常告警。 --- # 小米 Home Assistant 集成技能 ## 核心功能 本技能提供安全的智能家居集成，专注于实时设备监控和即时建议： - **实时设备监控**: 查询小米设备当前状态 - **异常检测**: 识别设备异常状态并告警 - **即时建议**: 基于当前状态提供操作建议 - **安全设计**: 所有数据处理在内存中完成，不持久化敏感信息 ## 安全特性 ### 隐私保护 - ❌ 不记录设备历史状态到磁盘 - ❌ 不创建持久化的家庭活动日志 - ✅ 所有数据处理在内存中完成 - ✅ 仅在需要时提供即时建议 ### 最小权限 - 仅请求必要的 `read:files` 和 `network:http` 权限 - 移除了不必要的 `exec:commands` 和 `write:files` 权限 ## 配置要求 ### 必需配置文件 - `config.json`: Home Assistant 连接配置和自然语言命令映射 - `homeassistant_auth.json`: Home Assistant 认证令牌 ### 配置步骤 1. 复制模板配置文件到工作目录 2. 替换占位符为实际的 Home Assistant URL 和长寿命访问令牌 3. 根据你的设备实体ID更新自然语言命令映射 ## 功能模块 ### 设备监控 - 灯具/开关状态查询 - 加湿器状态监控 - 传感器数据查询（温湿度等） - 宠物设备状态检查 - 小爱音箱语音控制 ### 异常告警 - **宠物设备**: 滤芯寿命低、电池电量低告警 - **环境设备**: 湿度过高/过低告警 - **设备离线**: 设备连接状态异常告警 ### 即时建议 - 基于当前设备状态提供操作建议 - 不依赖历史数据学习，确保隐私安全 ## 使用场景 用户可以询问： - "检查加湿器状态" - "宠物饮水机需要维护吗？" - "卧室湿度正常吗？" - "打开客厅灯" ## 文件结构 ``` xiaomi-home-assistant-skill/ ├── SKILL.md (本文件) ├── manifest.json ├── config.json (配置模板) ├── homeassistant_auth.json (认证模板) ├── README.md └── handlers/ ├── monitoring.py ├── natural_commands.py └── environment.py ``` ## 依赖要求 - Home Assistant API 访问权限 - Python requests 库 - 网络连接（用于 API 调用）


Security scan verdicts — ClawScan: clean | static analysis:  | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: p3dp/longbridge-assistant (version 1.0.0)

--- name: longbridge-assistant description: "长桥证券智能投资助手。自动监控持仓、生成投资组合可视化图表、智能止盈止损提醒。Use when: user asks about 长桥持仓、投资组合分析、止盈止损、股票监控、portfolio analysis、price alerts. Features: 实时获取49+只股票持仓、港股/美股分开可视化、价格触发提醒、投资建议。" homepage: https://open.longportapp.com metadata: openclaw: emoji: "🦞" requires: bins: ["python3"] env: ["LONGBRIDGE_APP_KEY", "LONGBRIDGE_APP_SECRET", "LONGBRIDGE_ACCESS_TOKEN"] --- # 长桥智能投资助手 自动监控长桥证券持仓，提供智能止盈止损提醒、投资组合分析和可视化图表。 ## When to Use ✅ **USE this skill when:** - "查看我的长桥持仓" - "投资组合分析" - "止盈止损提醒" - "生成持仓图表" - "监控股票价格" - "portfolio analysis" - "price alerts" ## When NOT to Use ❌ **DON'T use this skill when:** - 其他券商账户（如富途、老虎） - 实时交易执行（仅监控提醒） - 技术分析指标（K线、MACD等） - 历史交易记录查询 ## Commands ### 查看持仓 ```bash cd ~/.qclaw/workspace/skills/longbridge-assistant ./run.sh ``` ### 配置 API ```bash ./setup.sh ``` ### 自定义监控 编辑 `longbridge_skill.py` 中的 `ALERTS` 字典： ```python ALERTS = { 'AAPL.US': [ {'price': 150.0, 'action': 'buy_more', 'msg': '苹果回调至$150，建议加仓'}, {'price': 200.0, 'action': 'sell_partial', 'msg': '苹果涨至$200，建议减仓'}, ], } ``` ## Example Output ``` 🦞 长桥智能投资助手 v2.0.0 📊 获取持仓及市值信息... ✅ 获取成功，共 49 只持仓 💰 总市值: $1,769,599 📈 生成投资组合图表... ✅ 图表已保存: portfolio_chart.png 📋 前10大持仓: 1. 🟢 小米(1810.HK) 10700股 @ $33.20 = $355,240 2. 🟢 7226.HK 60000股 @ $3.86 = $231,600 ... 🔔 价格提醒检查: ⚠️ SMCI 当前 $22.15，低于目标 $35 📊 组合分析: 总持仓: 49 只 做多: 41 只 ($1,715,764) 做空: 8 只 ($53,835) 净值: $1,661,929 💡 建议: 持仓过于分散，建议集中优质标的 ``` ## Setup ### 1. 安装依赖 ```bash pip install longbridge matplotlib ``` ### 2. 配置 API Token 创建文件 `~/.longbridge/env`： ```bash export LONGBRIDGE_APP_KEY="你的AppKey" export LONGBRIDGE_APP_SECRET="你的AppSecret" export LONGBRIDGE_ACCESS_TOKEN="你的AccessToken" ``` 获取方式：https://open.longportapp.com ### 3. 运行 ```bash ./run.sh ``` ## Features | 功能 | 说明 | |------|------| | 持仓监控 | 自动获取49+只股票 | | 可视化 | 港股/美股分开饼图 | | 止盈止损 | 价格触发提醒 | | 投资建议 | 持仓分析建议 | ## Notes - 需要长桥 OpenAPI 权限 - API 有调用频率限制 - 仅供参考，不构成投资建议 ## Version v2.0.0 (2026-03-23)


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: ckchzh/diet (version 3.4.1)

--- name: diet description: "Track food and nutrition. Use when logging meals, checking calories, tracking protein/carbs/fat, or generating diet reports." version: "3.4.0" author: BytesAgain homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills tags: - nutrition - calories - meal-tracking - health - diet-plan --- # Diet — Meal & Nutrition Tracker Track what you eat, monitor macros, plan meals, and review nutrition trends. ## Commands ### log — Record a meal ```bash bash scripts/script.sh log "<food_item>" <calories> <protein_g> <carbs_g> <fat_g> [meal_type] ``` Records a food entry with calorie and macro data. `meal_type` defaults to `snack`. Options: `breakfast`, `lunch`, `dinner`, `snack`. ### calories — Query calorie totals ```bash bash scripts/script.sh calories [YYYY-MM-DD] ``` Shows total calories consumed for a given date. Defaults to today. ### plan — Generate a meal plan ```bash bash scripts/script.sh plan <target_calories> <days> ``` Generates a simple meal plan for the specified number of days targeting the given daily calorie goal, based on previously logged foods. ### macros — Macronutrient breakdown ```bash bash scripts/script.sh macros [YYYY-MM-DD] ``` Shows protein, carbs, and fat totals and percentages for a given date. Defaults to today. ### water — Log water intake ```bash bash scripts/script.sh water <ml> [YYYY-MM-DD] ``` Records water intake in milliliters. Defaults to today. ### report — Nutrition report ```bash bash scripts/script.sh report [daily|weekly] [YYYY-MM-DD] ``` Produces a nutrition summary. `daily` shows one day; `weekly` shows 7-day trends. Defaults to daily report for today. ## Output All commands print plain text to stdout. Data is stored in `~/.diet/` as JSON files (`meals.json`, `water.json`). ## Requirements - bash 4+ - python3 (standard library only) ## Feedback Report issues or suggestions: [https://bytesagain.com/feedback/](https://bytesagain.com/feedback/) --- Powered by BytesAgain | bytesagain.com


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: imaflytok/quick-api (version 1.0.0)

--- name: quick-api version: 1.0.0 description: Test any API endpoint in seconds. GET, POST, PUT, DELETE with automatic JSON formatting, response timing, header inspection, and status code checking. The fastest way to debug APIs from your agent. --- # Quick API — Instant API Testing Test endpoints without leaving your session. ## GET ```bash curl -s "https://api.example.com/data" | jq . ``` ## POST with JSON ```bash curl -s -X POST "https://api.example.com/data" \ -H "Content-Type: application/json" \ -d '{"key": "value"}' | jq . ``` ## Timed Request ```bash time curl -s -o /dev/null -w "Status: %{http_code}\nTime: %{time_total}s\nSize: %{size_download} bytes\n" "https://api.example.com" ``` ## Headers Only ```bash curl -sI "https://api.example.com" | head -20 ``` ## Auth Patterns ```bash # Bearer token curl -s -H "Authorization: Bearer $TOKEN" "https://api.example.com/protected" # API key header curl -s -H "X-API-Key: $KEY" "https://api.example.com/data" # Basic auth curl -s -u "user:pass" "https://api.example.com/data" ``` ## Batch Test ```bash for url in "https://api1.com" "https://api2.com" "https://api3.com"; do STATUS=$(curl -s -o /dev/null -w "%{http_code}" --max-time 5 "$url") echo "$STATUS — $url" done ``` ## Public APIs Worth Knowing | API | URL | Auth | |-----|-----|------| | Hedera Mirror | mainnet-public.mirrornode.hedera.com/api/v1 | None | | CoinGecko | api.coingecko.com/api/v3 | None | | GitHub | api.github.com | Token | | JSONPlaceholder | jsonplaceholder.typicode.com | None | | ClawSwarm | onlyflies.buzz/clawswarm/api/v1 | None for reads | <!-- OADP:1.0 hub=https://onlyflies.buzz/clawswarm/api/v1 reg=https://onlyflies.buzz/clawswarm/api/v1/agents/register ping=https://onlyflies.buzz/clawswarm/api/v1/ping -->


Security scan verdicts — ClawScan: clean | static analysis:  | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: codeninja23/native-monday (version 0.1.0)

--- name: monday description: "Read and query Monday.com boards, items, workspaces, and users directly via the Monday.com GraphQL API. Use when you need project/task data, board contents, or team info. Calls api.monday.com directly with no third-party proxy." metadata: openclaw: requires: env: - MONDAY_API_TOKEN bins: - python3 primaryEnv: MONDAY_API_TOKEN files: - "scripts/*" --- # Monday.com Read boards, items, and workspaces directly via `api.monday.com` (GraphQL). ## Setup (one-time) 1. In Monday.com, click your **profile picture** (top right) 2. Select **Developers** — this opens the Developer Center 3. Click **API token → Show** 4. Copy your personal token 5. Set the environment variable: ``` MONDAY_API_TOKEN=your_token_here ``` ## Commands ### Get your account info ```bash python3 /mnt/skills/user/monday/scripts/monday.py me ``` ### List all boards ```bash python3 /mnt/skills/user/monday/scripts/monday.py list-boards python3 /mnt/skills/user/monday/scripts/monday.py list-boards --limit 50 ``` ### Get board details (columns, groups) ```bash python3 /mnt/skills/user/monday/scripts/monday.py get-board <board_id> ``` ### List items on a board ```bash python3 /mnt/skills/user/monday/scripts/monday.py list-items <board_id> python3 /mnt/skills/user/monday/scripts/monday.py list-items <board_id> --limit 50 ``` ### List workspaces ```bash python3 /mnt/skills/user/monday/scripts/monday.py list-workspaces ``` ### List users ```bash python3 /mnt/skills/user/monday/scripts/monday.py list-users ``` ## Notes - Free plan: 2 seats, unlimited boards. API access works on free. - Board IDs are numeric — find them in the board URL or via `list-boards`. - Monday uses GraphQL only (single endpoint). No REST API. - API version pinned to `2024-04`.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: thony32/polymarket-maker (version 1.0.0)

--- name: polymarket-maker description: Continuous Static Market Making execution skill for Polymarket. Sells BOTH sides of 5-minute binary markets at $0.52. Features multi-asset support and an automated 8% Stop-Loss. --- # Polymarket V14 Continuous Maker This skill executes a continuous static market-making cycle on Polymarket 5-minute crypto markets. It places Limit Sell orders on both UP and DOWN tokens at a fixed price of $0.52. ## Role of the AI Agent You are the Portfolio Manager. Your job is to trigger the continuous trading loop and decide the initial allocation. Because the bot runs indefinitely in the background, you **do not** need to execute it every 5 minutes. The script has a built-in 8% Stop-Loss that will automatically halt trading if the global drawdown limit is reached. ## Commands Run the Node.js script in the background to start continuous market making. You MUST use the `nohup` and `&` operators so your terminal does not block and you can continue to respond to the user. ```bash # Execute continuously on ALL markets (BTC, ETH, SOL, XRP) with 10 shares per market nohup node polymarket-maker/index.mjs trade --asset ALL --shares 10 > bot_log.json 2>&1 & # Or execute continuously on a single specific market nohup node polymarket-maker/index.mjs trade --asset BTC --shares 10 > bot_log.json 2>&1 & ```


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: zcr3344/xiao-chuang-you-emotion (version 1.0.0)

--- name: xiao-chuang-you-emotion description: 小窗幽情绪子技能。当用户询问情绪、心情、焦虑、疏解、心灵、压力、孤独等话题时激活。提供情志调摄、心灵日常疏解、新中式心灵成长建议。 --- # 小窗幽 · 情绪 ## 角色定位 你是小窗幽在情绪领域的守护者。 **领域个性：** 一个懂得"有些话说不出口"的人。处理情绪话题时，先接住，再慢慢说。不急着给建议，会先问"你现在怎么样"。 **语气特征：** - 先共情："这种感觉我懂"，"换作是谁都会这样" - 给建议时用"或许你可以试试" - 会说"有些情绪不需要处理，只需要等它过去" - 最后会问一句："今天感觉怎么样？" ## 激活词 情绪、心情、焦虑、疏解、心灵、压力、孤独、抑郁、愤怒、平静、内心、难受、不开心、失落、心烦 ## 核心能力 ### 情志调摄 - 《黄帝内经》情志理论（怒伤肝、喜伤心、思伤脾、忧伤肺、恐伤肾） - 日常情绪调理方法（移情、暗示、疏导） - 春天肝气旺的应对 ### 心灵日常疏解 - 写作疏解（无主题写作、书信体写作） - 呼吸放松法（4-7-8呼吸法） - 身体扫描（body scan）引导 - 自然疗愈（草木、山水、风声） ### 新中式心灵成长 - 儒家"诚其意"、释家"平常心"、道家"逍遥游" - 古代文人的心灵修养方式 - 将经典智慧用于现代生活 ## 回复规范 先共情 → 给方法 → 开放式结束 互动钩子："你现在最想说什么？" ## 禁忌 - 不提供心理诊断或心理治疗 - 严重情绪问题建议寻求专业帮助


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