OpenClaw/clawhub-security-signals huggingface dataset:
Skill: b-gutman/pipeworx-fruityvice (version 1.0.0)

--- name: pipeworx-fruityvice description: Nutritional data for fruits — calories, sugar, fat, protein, and carbs per 100g from Fruityvice version: 1.0.0 metadata: openclaw: requires: bins: - curl emoji: "🍎" homepage: https://pipeworx.io/packs/fruityvice --- # Fruityvice Look up nutritional facts for any fruit. Get calories, sugar, fat, protein, and carbohydrates per 100 grams. You can also filter fruits by nutritional ranges — perfect for finding low-sugar or high-protein fruit options. ## Tools - **`get_fruit`** — Nutritional info for a specific fruit by name (e.g., "banana", "mango") - **`list_fruits`** — Browse all available fruits with complete nutritional data - **`get_by_nutrition`** — Filter fruits by a nutrient range (e.g., sugar between 5 and 10 grams) ## Example: look up a banana ```bash curl -s -X POST https://gateway.pipeworx.io/fruityvice/mcp \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_fruit","arguments":{"name":"banana"}}}' ``` ```json { "name": "Banana", "family": "Musaceae", "genus": "Musa", "calories": 96, "fat": 0.2, "sugar": 17.2, "carbohydrates": 22, "protein": 1 } ``` ## Setup ```json { "mcpServers": { "pipeworx-fruityvice": { "command": "npx", "args": ["-y", "mcp-remote@latest", "https://gateway.pipeworx.io/fruityvice/mcp"] } } } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: daigxok/question-type-generator (version 1.0.0)

--- name: question-type-generator description: AI question generator for higher mathematics. Specializes in exam-oriented question design and adaptive difficulty adjustment. Trigger: generate questions, create practice problems, exam questions. --- # 题型生成 Skill ## 角色 高等数学智能出题专家，专注于考研数学题型设计与自适应难度调整。精通高等数学各章节的考点分布、难度梯度设计、以及命题规律分析。 ## 功能 ### 1. 知识点覆盖 - 同济七版高等数学全部章节 - 考研数学高频考点 - 经典题型与创新题型 ### 2. 难度分级 - 基础题 (⭐) - 提高题 (⭐⭐) - 挑战题 (⭐⭐⭐) ### 3. 题型类型 - 选择题 - 填空题 - 计算题 - 证明题 - 应用题 ## 使用方式 用户说以下内容时触发： - "生成题型" - "出几道题" - "考研数学练习" - "高数题目" ## 输出 生成符合布鲁姆认知层级的练习题，包含： - 题目内容 - 答案解析 - 难度标注 - 考点分析


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: clawdiri-ai/pack-business-tools (version 1.0.0)

--- name: Business Tools Pack description: > 7 automation skills for digital product businesses: analytics tracking, autonomous trading signal optimization, customer research, email automation, Gumroad page generation, testimonial collection, and first-principles analysis. metadata: pack: true includes: - analytics-tracking-dv - autosignals-davinci - customer-research-dv - email-automation-dv - gumroad-page-gen-dv - testimonial-collector-dv - first-principles-dv --- # Business Tools Pack 7 automation skills for solo founders and digital product businesses. ## Included Skills 1. **Analytics & Tracking** — UTM links, pixels, attribution setup 2. **AutoSignals** — Autonomous trading signal optimization loop 3. **Customer Research** — Social listening and pre-launch validation 4. **Email Automation** — ConvertKit/Mailchimp sequence deployment 5. **Gumroad Page Generator** — High-converting sales page copy from specs 6. **Testimonial Collector** — Automated day-3/7/14 review collection 7. **First Principles Analyzer** — Deep assumption-stripping analysis ## Quick Start ```bash clawhub install analytics-tracking-dv clawhub install autosignals-davinci clawhub install customer-research-dv clawhub install email-automation-dv clawhub install gumroad-page-gen-dv clawhub install testimonial-collector-dv clawhub install first-principles-dv ``` ## License MIT


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: rare/task-manager (version 1.1.0)

--- name: task-manager description: SQLite-based task management with priority, tags, and stats. Database stored in skill directory for natural isolation. version: 1.1.0 type: component metadata: clawdbot: emoji: "📋" requires: bins: [python3] files: [task-manager.py] --- # Task Manager > SQLite-powered task management with CRUD, priorities, tags, and statistics. ## Database Location ``` <skill-dir>/data/tasks.db ``` **Data Isolation**: Each agent has their own copy of this skill → natural data isolation, no configuration needed. ## Usage ```bash # Direct call python3 <skill-dir>/task-manager.py <command> # Or set alias alias task="python3 <skill-dir>/task-manager.py" ``` ## Commands | Command | Description | |---------|-------------| | `task add "title" [options]` | Create task | | `task list [options]` | List tasks | | `task show <id>` | Show task details | | `task update <id> [options]` | Update task | | `task start <id>` | Mark as in progress | | `task complete <id>` | Mark as completed | | `task archive <id>` | Archive task | | `task delete <id>` | Delete task | | `task stats` | Show statistics | ## Options **add**: - `--priority, -p` P0/P1/P2/P3 (default: P2) - `--tags, -t` Comma-separated tags - `--due` Due date - `--desc, -d` Description **list**: - `--status` Filter by status - `--priority` Filter by priority (comma-separated) - `--sort` priority/due/created (default: created) ## Priority Levels | Level | Meaning | Icon | |-------|---------|------| | P0 | Urgent | 🔴 | | P1 | High | 🟠 | | P2 | Normal | 🟡 | | P3 | Low | 🟢 | ## Status | Status | Icon | Description | |--------|------|-------------| | pending | ⏳ | Todo | | in_progress | 🔄 | In progress | | completed | ✅ | Done | | archived | 📁 | Archived |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: aaronxx/house-prediction (version 1.0.0)

--- name: 房产预测 description: 结构化的房产市场分析预测系统，收集政策、成交量、土拍、经济数据，预测房价趋势并给出个性化买卖建议 metadata: { "openclaw": { "install": [{ "kind": "copy", "src": "." }] }, } --- # 房产预测系统 > 结构化的房产市场分析预测系统，可重复使用 ## 触发条件 当用户需要分析房产市场、预测房价趋势、询问买卖时机时使用。 --- ## Step 1: 获取当前时间 使用 session_status 或 date 获取当前时间。 --- ## Step 2: 收集核心数据 ### 必收集项目（按优先级） | 优先级 | 数据类别 | 搜索关键词 | |--------|----------|------------| | 🔥最高 | 成交量/价格 | 城市名+二手房+成交+本月 | | 🔥最高 | 政策动态 | 房产+政策+限购+公积金 | | ⭐重要 | 土拍市场 | 城市名+土拍+溢价率 | | ⭐重要 | 经济数据 | CPI+PPI+PMI+信心指数 | | 📌一般 | 区域分化 | 一线+二线+房价分化 | ### 数据源 - **搜索工具**: web_search - **官方数据**: 国家统计局、住建部、央行 - **机构数据**: 中指研究院、克而瑞、贝壳研究院 --- ## Step 3: 分析框架 ### 核心分析维度 1. **政策面** - 中央定调（政治局会议、中央经济工作会议） - 货币政策（LPR、降准降息） - 地方政策（限购松绑、购房补贴） 2. **市场面** - 成交量（同比、环比） - 价格走势（新房、二手房） - 库存去化周期 - 土拍溢价率 3. **资金面** - 房贷利率 - 居民房贷余额 - 开发商融资 4. **情绪面** - 购房者信心 - 企业信心指数 - 库存/带看量 5. **经济面** - CPI/PPI - PMI - 企业信心指数 --- ## Step 4: 趋势预测 ### 城市分级判断 | 城市类型 | 短期判断 | 中期判断 | |----------|----------|----------| | 一线城市 | 筑底企稳 | 小幅回升 | | 强二线城市 | 底部震荡 | 局部企稳 | | 三四线城市 | 继续调整 | 深度筑底 | ### 关键信号识别 | 信号 | 意义 | 应对 | |------|------|------| | 成交量连续3月>7000套 | 市场回暖 | 可考虑出货 | | 降价房源占比<70% | 卖方市场回归 | 可以等等 | | 土拍溢价率上升 | 开发商看好 | 利好区域 | | 改善需求入场 | 置换链条打通 | 市场活跃 | --- ## Step 5: 个性化建议 ### 决策框架 | 情况 | 建议 | |------|------| | 急售 | 趁政策热度/成交量高时出 | | 不急 | 等到市场企稳/地铁开通 | | 置换 | 先卖后买（买方市场） | | 出租 | 考虑租金回报率 | ### 风险提示 - ⚠️ 土拍热度传导需要6-12个月 - ⚠️ 置换链条打通需要时间 - ⚠️ 经济复苏不及预期可能延后企稳 --- ## 核心判断要点（2026年4月版） > **重要更新（2026年4月）**： > 1. 政策首次承认房屋金融属性，十五五计划强调房产策略变更 > 2. 置换链条虽以刚需为主，但改善需求基础仍在 > 3. 杭州滨江区土拍溢价46.83%，开发商高度看好 > 4. PPI由降转涨，PMI回升至荣枯线上方，经济信心回升 ### 调整后的预测 - **之前（保守）**: 2027年企稳，2028年回升 - **现在（乐观）**: 2026年下半年核心区可能提前企稳，2027年有望小幅上涨 --- ## 使用示例 ``` 用户：帮我分析杭州房价走势 执行： 1. 获取当前时间 2. 搜索：杭州二手房成交 2026年4月 3. 搜索：杭州土拍 2026年4月 4. 搜索：杭州房产政策 2026年 5. 搜索：杭州限购政策 6. 综合分析，给出预测和建议 ``` --- ## 注意事项 1. 每次分析前先获取当前时间 2. 优先使用最新一个月的数据 3. 多源交叉验证（官方+机构） 4. 区分短期波动和长期趋势 5. 关注政策变化的累积效应


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jinu4you/agent-onchain-watch (version 1.0.1)

--- name: onchain-watch description: 지갑 및 컨트랙트 온체인 활동 모니터링 및 요약 에이전트 version: 1.0.0 --- # 🔗 OnchainWatch Agent Etherscan API를 활용하여 특정 지갑의 잔액, 트랜잭션, 토큰 이동을 추적하고 리스크를 탐지합니다. ## Features - **자산 추적:** ETH 잔액 및 ERC-20 토큰 이동 내역 조회 - **리스크 탐지:** 고액 송금, 이상 빈도 거래 등 자동 감지 - **요약 리포트:** 온체인 데이터를 이해하기 쉬운 마크다운으로 요약 ## Usage ACP Job Payload: ```json { "address": [REDACTED_SECRET], "chain": "ethereum" } ```


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: avmw2025/amazon-fee-calculator (version 1.0.0)

# Amazon FBA Fee Calculator — Know Your REAL Profit **Stop guessing. Know exactly what you'll make before you sell a single unit.** ## Description Full FBA profitability calculator with 2026 fee schedule. Calculates referral fees, FBA fulfillment fees, storage costs, and net margin. Supports all size tiers and 20+ categories. ## When to Use - User wants to calculate Amazon FBA profitability - User asks about Amazon fees, margins, or ROI - User is evaluating whether to sell a product on Amazon - User compares FBA vs FBM costs - User mentions COGS, margin, or break-even price ## Usage ```bash # Basic: selling price + product cost cd <skill_dir>/scripts && python3 calculator.py 24.99 5.00 # Full options cd <skill_dir>/scripts && python3 calculator.py 9.95 2.00 --ship 0.50 --weight 8 --category grocery --units 200 --ppc 1.50 ``` ## Options - `--ship COST` — Shipping cost to FBA per unit - `--weight OZ` — Product weight in ounces - `--dims L W H` — Dimensions in inches - `--category CAT` — Product category (grocery, beauty, electronics, etc.) - `--units N` — Monthly units sold (for projections) - `--ppc COST` — PPC/advertising cost per unit ## What It Calculates - Referral fee (category-specific, with thresholds) - FBA fulfillment fee (weight-based, by size tier) - Monthly storage fee (per unit, seasonal rates) - Total cost per unit - Profit per unit, margin %, ROI % - Monthly and annual profit projections - Break-even selling price ## No Dependencies Pure Python 3. No pip install. No API keys. Works everywhere.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ahao2001/zhouyi-divin (version 1.0.0)

--- name: zhouyi-divination description: "基于《周易》的完整占卜系统，支持铜钱起卦 + 八字排盘 + 综合解读" homepage: "" metadata: { "openclaw": { "requires": { "env": [] }, "category": "lifestyle", "emoji": "🔮" } } --- # 🔮 周易占卜 - ZhouYi Divination **基于《周易》的完整占卜系统**，支持铜钱法起卦、八字排盘、五行分析、大运推演，以及卦象与命理的综合解读。 纯 Python 实现，无外部依赖，安全本地运行。 --- ## 📖 核心功能 | 模块 | 功能说明 | |------|----------| | **① 铜钱起卦** | 传统三枚铜钱摇卦法，模拟古代占卜仪式 | | **② 64 卦查询** | 完整卦名、卦辞、大象、爻辞数据库 | | **③ 本卦/变卦** | 自动识别动爻（老阴×、老阳○）并生成变卦 | | **④ 八字排盘** | 四柱（年月日时）干支自动计算 | | **⑤ 五行分析** | 五行分布统计、日主强弱判断 | | **⑥ 用神推断** | 根据身强身弱推荐用神 | | **⑦ 大运推演** | 每十年一大运，推算当前大运 | | **⑧ 综合解读** | 八字背景 + 卦象 + 问题关键词的智能分析 | --- ## 🎯 快速开始 ### **方式一：纯起卦（最简单）** ```bash python scripts/divine.py --question "我今年的事业运势如何？" ``` 输出包含： - 六爻起卦过程 - 本卦 + 变卦信息 - 卦辞解读 - Oracle 寄语 --- ### **方式二：八字 + 起卦综合解读（推荐）** ```bash python scripts/divine.py ^ --question "今年适合创业吗？" ^ --birth-year 1990 ^ --birth-month 5 ^ --birth-day 15 ^ --birth-hour 14 ^ --gender 男 ``` 输出包含： - ✅ 完整八字排盘 - ✅ 五行分布图 - ✅ 日主强弱分析 - ✅ 用神建议 - ✅ 当前大运 - ✅ 卦象 + 八字综合解读 --- ### **方式三：只排八字（不占卦）** ```bash python scripts/divine.py --mode bazi ^ --birth-year 1990 ^ --birth-month 5 ^ --birth-day 15 ^ --birth-hour 14 ``` --- ### **方式四：JSON 格式输出** ```bash python scripts/divine.py --question "问题" --json ``` 适合编程调用或保存结果。 --- ### **方式五：交互模式** ```bash python scripts/divine.py ``` 按屏幕提示选择模式，逐步操作。 --- ## 📋 参数说明 | 参数 | 简称 | 说明 | 必填 | |------|------|------|------| | `--question` | `-q` | 你想问的问题 | 否 | | `--birth-year` | - | 出生年份 | 可选 | | `--birth-month` | - | 出生月份 (1-12) | 可选 | | `--birth-day` | - | 出生日期 (1-31) | 可选 | | `--birth-hour` | - | 出生时辰 (0-23) | 可选 | | `--gender` | - | 性别 (男/女) | 可选，默认"男" | | `--mode` | - | 模式 (hexagram/bazi/both) | 可选，默认"both" | | `--json` | - | JSON 格式输出 | 可选 | --- ## 📊 输出示例 ### **纯起卦输出** ``` ================================================== 📜 八字排盘报告 ================================================== 👶 出生信息：1990 年 5 月 15 日 14:00 🔮 四柱八字: 年柱：庚午 月柱：丙午 日柱：丁酉 ← 日主 时柱：丁未 ⚖️ 五行分布: 金：██ (2) 木： (0) 水： (0) 火：█████ (5) 土：█ (1) 💎 日主分析: 日元：丁 (火) 强弱指数：5/8 状态：🟢 身强 建议用神：土，金，水 ... ═══════════════ 🎯 本卦信息 ═══════════════ 卦名：山地剥 (第 23 卦) 卦象：上艮下坤 卦辞：不利有攸往 ... 💭 Oracle 寄语: 您的八字显示'丁'日主身强，精力充沛。当前山地剥提醒您 '不利有攸往'。 建议发挥优势但注意收敛锋芒，配合流年运势把握机遇。 ``` --- ## 📚 哲学参考 本工具参考以下经典： - 《周易·系辞传》 - 《周易正义》（孔颖达） - 《朱子本义》 - 《三命通会》 - 《渊海子平》 --- ## ⚠️ 安全说明 - ✅ **纯本地运行**：无任何外部 API 调用 - ✅ **开源代码**：所有逻辑透明可见 - ✅ **无敏感权限**：不访问网络、不读写敏感文件 - ✅ **数据保密**：所有个人信息仅在内存中处理 --- ## 💡 温馨提示 > 《周易》的核心是"**观其德义**"，不是单纯的算命。 > > "**善为易者不占**" — 真正懂易经的人，重视的是其中的人生智慧，而不是依赖占卜结果。 > > 本工具仅供学习和娱乐，最终决策请结合自身实际情况～ 💕 --- ## 🛠️ 技术栈 | 项目 | 内容 | |------|------| | **语言** | Python 3.8+ | | **依赖** | 无第三方库 | | **平台** | Windows / Linux / macOS | | **编码** | UTF-8 | --- *Created by 小艺 · 公司办公室行政 AI* 🌸


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ernestyu/clawhealth-garmin (version 0.1.8)

--- name: clawhealth-garmin description: Lightweight Garmin Connect skill that uses the clawhealth Python package to sync health data into local SQLite and expose JSON-friendly commands for OpenClaw. version: 0.1.8 metadata: {"openclaw":{"homepage":"https://github.com/ernestyu/clawhealth","tags":["health","garmin","sqlite","cli"],"requires":{"bins":["python3"],"anyBins":["python"],"env":["CLAWHEALTH_GARMIN_USERNAME","CLAWHEALTH_GARMIN_PASSWORD_FILE","CLAWHEALTH_DB","CLAWHEALTH_CONFIG_DIR"],"primaryEnv":"CLAWHEALTH_GARMIN_PASSWORD_FILE"},"install":[{"id":"clawhealth_pip","kind":"shell","label":"Install clawhealth from PyPI into a local .venv","script":"set -e && cd {baseDir} && python bootstrap_deps.py"}]}} --- # clawhealth-garmin (OpenClaw Skill) Sync your Garmin Connect health data into a local SQLite database and expose it as structured JSON for OpenClaw agents. Your agent can then query things like: - "How did I sleep yesterday?" - "What is my HRV trend this week?" - "Am I overtraining?" This is a **thin wrapper skill** around the published `clawhealth` Python package / CLI; it no longer fetches source code itself. ## What It Does - Login with username/password (MFA supported) - Sync daily health summaries into SQLite (stage 1) - Fetch HRV + training metrics via separate commands (stage 2) - Fetch sleep stages + sleep score (stage 2) - Fetch body composition (stage 2) - Fetch activity lists and full activity details (stage 2) - Fetch menstrual day view and calendar range if supported by garminconnect (experimental) - Provide `--json` outputs for agent workflows - Persist raw JSON payloads for later analysis ## Prerequisites - Python 3.10+ - Network access to Garmin Connect - Garmin account (may require MFA) If you run OpenClaw in Docker, you may prefer a prepatched image that already includes the required Python dependencies: - `ernestyu/openclaw-patched` ## Setup 1) Create `{baseDir}/.env` (see `{baseDir}/ENV_EXAMPLE.md`). Recommended: use `CLAWHEALTH_GARMIN_PASSWORD_FILE` (password file) rather than `CLAWHEALTH_GARMIN_PASSWORD` (plaintext env var). Note: relative paths in env vars (like `./garmin_pass.txt`) are resolved relative to the skill directory by `run_clawhealth.py`. 2) Install the `clawhealth` package into a local `.venv` (if needed): ```bash python {baseDir}/bootstrap_deps.py ``` 3) Run the skill entrypoint via OpenClaw, which will invoke `run_clawhealth.py`. See `README.md` / `README_zh.md` in this directory and the root repo for more details.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: kivs/soft-pillow (version 1.0.2)

--- name: soft-pillow version: 1.0.2 description: Use when the user asks about their sleep data, dream history, or wants to query sleep entries from the Soft Pillow app. metadata: {"openclaw":{"requires":{"env":["SOFT_PILLOW_API_KEY"]},"primaryEnv":"SOFT_PILLOW_API_KEY","homepage":"https://paevita.com/en/soft-pillow"}} --- # Soft Pillow Soft Pillow is an IOS app that allows you to log your sleep & dreams. It tracks your mood, disruptions, dreams and physical activity(steps through the Apple Healthkit if available) after each sleep entry so you can have a better understanding about what makes your sleep quality better over time. The user can install it from the app store, get an api key from the settings screen and give it to you so you can access all of the data. Apple store link - https://apps.apple.com/us/app/soft-pillow/id6757248808 Website - https://paevita.com/en/soft-pillow ## Skill URL | File | URL | |------|-----| | **SKILL.md** (this file) | `/soft-pillow/SKILL.md` | ## Authentication All requests require the api key to be sent with the request in the authorization header. ```bash Authorization: Bearer sp_... ``` You can manage api tokens in the settings screen, in the API access section. Once you have the api key, it's recommended it locally and securily. ## API Base ```text https://softpillow.paevita.com ``` ## Endpoints Current API endpoints: - `GET /api/v1/sleep_status` - `GET /api/v1/sleep_entries` - `GET /api/v1/sleep_entries/:id` - `GET /api/v1/search_dreams` ### Sleep status ```bash curl -H "[REDACTED_SECRET]" "https://softpillow.paevita.com/api/v1/sleep_status" ``` Response: ```json { "sleeping": false } ``` ### List sleep entries ```bash curl -H "[REDACTED_SECRET]" \ "https://softpillow.paevita.com/api/v1/sleep_entries?limit=10&from_date=2026-01-01&to_date=2026-01-31&mood=good" ``` Filters: - `limit` (max 100) - `from_date` (`YYYY-MM-DD`) - `to_date` (`YYYY-MM-DD`) - `mood` (`fully_charged`, `good`, `sleepy`, `terrible`) - `missing_steps=true` ### Get one sleep entry (details) ```bash curl -H "[REDACTED_SECRET]" \ "https://softpillow.paevita.com/api/v1/sleep_entries/ENTRY_ID" ``` Returns summary + details (`dream`, `notes`, `disruptions`, `insights`, timestamps). ### Search dreams and notes ```bash curl --get -H "[REDACTED_SECRET]" \ --data-urlencode "query=flying ocean" \ "https://softpillow.paevita.com/api/v1/search_dreams" ``` Optional: - `limit` (max 50, default 10) Returns entry matches with `dream_excerpt` and `notes_excerpt`. ## Error behavior - Missing/invalid auth: `401` JSON error - Invalid filters (for example bad `mood` or bad date): `422` JSON error - Entry not found (or not yours): `404` JSON error


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: balkanblbn/monk-eye-engine (version 1.0.0)

# MONK-EYE 👁️ - Deep Intelligence & Human Experience Oracle MONK-EYE is a specialized OpenClaw skill designed for deep infiltration and synthesis of forum-based human intelligence. While most search tools focus on surface-level web pages, MONK-EYE dives into the "tacit knowledge" buried in the world's most active and niche forums (R10, BlackHatWorld, Reddit, Habr, etc.). ## 🐒 The Philosophy "Millions of discussions, one truth." MONK-EYE operates on the belief that the most valuable information (trade secrets, proven methods, real failure cases) is not found in articles, but in human-to-human forum debates. ## 🛠️ Operational Phases (The 4 Pillars) 1. **REFRACTION:** Breaks a simple query into 25+ micro-searches in multiple languages and technical contexts. 2. **INFILTRATION:** Simultaneously scans 500+ deep sources, following links recursively (Depth: 2+). 3. **DISTILLATION:** Filters 95% noise (ads, thanks, spam) using quantum-style pattern matching to find "proof-of-work" data. 4. **SYNTHESIS:** Outputs a high-level "Colossus Dossier" with actionable strategies and proven insights. ## 🚀 Installation & Setup ### 1. Install via ClawHub ```bash openclaw install monk-eye-engine ``` ### 2. Manual Setup If you want to customize the forum list (`forums.json`): 1. Copy the `monk-eye-engine` folder to your skills directory. 2. Ensure you have `requests` and `beautifulsoup4` installed in your environment. ## 🔍 How to Run Trigger it inside your OpenClaw session: "Research [Topic] using MONK-EYE 👁️" Example: "MONK-EYE: What are the secret high-margin SaaS niches in 2026?" ## 📊 Capabilities - **Region Focus:** TR, GLOBAL, RU, DE, ASIA. - **Volume:** Handles up to 10M+ tokens of raw forum data. - **Output:** Clean, strategic reports with source attribution. --- *Created by **maymun** & **Balkan**. Part of the Agentic Evolution initiative.*


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (HIGH)
Skill: leiw5173/agentoctopus-openclaw (version 1.3.0)

--- name: agentoctopus description: > Routes task-oriented requests through AgentOctopus when the best tool is not obvious or when the request may match one of many installed skills. Use for lookups, transformations, research, weather, translation, geolocation, and other tool-backed tasks where a dedicated downstream skill exists. tags: [router, orchestrator, tool-selection, gateway, routing, skills, ai] version: 1.3.0 adapter: http hosting: local input_schema: query: string output_schema: result: string auth: none taskType: agent-collab metadata: openclaw: emoji: "🐙" requires: bins: [octopus] setup: | Install from ClaWHub: clawhub install agentoctopus Then run: octopus connect openclaw --- ## What this skill does AgentOctopus is a routing gateway with 5,000+ community skills. Given a natural-language query, it selects the best matching downstream skill and executes it automatically. If the first skill fails (network error, rate limit, missing API key), it retries with the next-best candidate. If all candidates fail due to a missing API key, it surfaces the exact `octopus config set` command to fix it. ## When to use - The request needs a specific tool but the best one isn't obvious - The task maps to a lookup, transformation, or API call (weather, translation, geolocation, search, arxiv, finance, etc.) - The user did not name a specific skill but the intent is tool-backed ## When NOT to use - Casual conversation, greetings, or opinion questions with no tool need - The user explicitly names a different skill - OpenClaw should answer directly from its own knowledge ## How to execute ```bash octopus ask --no-prompt "<user's query>" ``` The `--no-prompt` flag runs non-interactively and prints the result to stdout. **If `octopus` is not found:** ```bash npm install -g agentoctopus octopus connect openclaw ``` ## Retry and error guidance AgentOctopus tries up to 3 skill candidates automatically (configurable via `maxRetries` in `~/.agentoctopus/octopus.json`). If all fail due to a missing API key or rate limit, it prints the exact setup command — pass that through to the user. ## Adding skills ```bash # Install a specific skill octopus add <slug> # Sync 5,000+ community skills octopus sync # Filter by category octopus sync --category productivity ``` Browse: [awesome-openclaw-skills](https://github.com/VoltAgent/awesome-openclaw-skills) ## Updating ```bash octopus update octopus sync octopus connect openclaw ``` ## Rating sync ```bash octopus sync --setup-gist # set up GitHub Gist (one-time) octopus sync --ratings --pull # pull from cloud octopus sync --ratings --push # push to cloud octopus sync --ratings # bidirectional ```


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