OpenClaw/clawhub-security-signals huggingface dataset:
Skill: nashirjamali/skillweave-sdk-publish-smoke-test (version 1.0.0)

--- name: Skillweave SDK publish smoke test description: Verifies ClawHub publish flows from the TypeScript client with a non-trivial SKILL.md body. --- ## Purpose Use this skill when you need a **concrete, repeatable checklist** for validating that a Skillweave or ClawHub client can upload a skill bundle, that the server accepts the payload, and that the published artifact contains expected files. ## When to apply - After changing publish request serialization, compression, or multipart boundaries in the SDK. - When debugging HTTP 4xx responses from the skills API (thin content, missing SKILL.md, invalid semver). - Before tagging a release that touches `publishSkill` or ClawHub integration tests. ## Preconditions - Environment variable `CLAWHUB_TOKEN` is set to a token with publish permission for the target namespace or slug. - The slug you pass to `publishSkill` is available or you intend to publish a new semver for an existing slug. - `files` includes `SKILL.md` (or `skills.md`) with non-trivial documentation, not a one-line placeholder. ## Workflow 1. Load secrets from `.env` without committing tokens to version control. 2. Build a UTF-8 buffer for `SKILL.md` that includes this frontmatter block and several sections (purpose, workflow, constraints). 3. Call `SkillweaveClient.publishSkill` with `slug`, `displayName`, `version`, and the file list. 4. On success, log the returned identifiers and confirm the skill appears in the registry UI or list API. 5. On HTTP 400 with a message about thin or templated content, expand SKILL.md with domain-specific steps, examples, and edge cases until the validator accepts the bundle. ## Constraints and edge cases - **Version format:** Use semantic versioning strings the API accepts (for example `1.0.0`, not bare `1`). - **Content quality:** Automated checks reject boilerplate-only bodies. Prefer real procedures tied to your repository or team. - **File paths:** Use forward slashes in `relPath` entries; avoid absolute paths on the client machine leaking into the archive structure. ## Example invocation shape (TypeScript) ```typescript const client = new SkillweaveClient({ clawhub: { [REDACTED_SECRET] }, }); await client.publishSkill({ slug: "my-skill-1", displayName: "Skillweave SDK publish smoke test", version: "1.0.0", files: [{ relPath: "SKILL.md", bytes: new TextEncoder().encode(skillMd) }], }); ``` ## Verification After publish, fetch the skill by slug or open the ClawHub listing and confirm the version, display name, and that SKILL.md renders with headings intact. If integration tests delete skills, run undelete or republish only after confirming slug policy for your account.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: gawainchin/openrouter-vision-skill (version 1.0.1)

--- name: openrouter-vision-agent description: Analyze images using OpenRouter's vision API with x-ai/grok-4.1-fast. Requires OPENROUTER_API_KEY env var or user-provided key. Use when the user asks to describe, explain, or interpret an image, or when image analysis is needed. Triggered by phrases like "analyze this image", "what's in this photo", "describe this picture", "use openrouter vision". ⚠️ Images are sent to openrouter.ai — avoid sending sensitive/untrusted images. --- # OpenRouter Vision Agent Analyzes images via OpenRouter using `x-ai/grok-4.1-fast`. ## API Details - **Model**: `x-ai/grok-4.1-fast` - **Endpoint**: `https://openrouter.ai/api/v1/chat/completions` - **Auth**: `OPENROUTER_API_KEY` env var — required - **Max Tokens**: 500–2000 (adjust depending on needed detail) ## Image Analysis ### Via curl ```bash curl -s https://openrouter.ai/api/v1/chat/completions \ -H "Authorization: Bearer $OPENROUTER_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "x-ai/grok-4.1-fast", "max_tokens": 800, "messages": [{ "role": "user", "content": [ {"type": "text", "text": "<prompt>"}, {"type": "image_url", "image_url": {"url": "<image_url>"}} ] }] }' ``` ### Parameters | Field | Value | |-------|-------| | `model` | `x-ai/grok-4.1-fast` | | `messages[].content[].type` | `text` + `image_url` | | `image_url.url` | Direct image URL (http/https) | | `max_tokens` | 500–2000 | ### Output Parse `choices[0].message.content` from the JSON response. ## Notes - **Credential required**: `OPENROUTER_API_KEY` env var must be set. If not available, ask the user for their OpenRouter API key before proceeding. - **Privacy**: Images (including URLs and uploaded files) are sent to openrouter.ai. Do not use this skill with sensitive or private images. - Image URLs must be publicly accessible HTTP/HTTPS URLs - Supports JPEG, PNG, WebP, and other common formats - For local files, upload to a public URL first


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: pyh-pan/multi-source-news-digest (version 1.0.0)

# Multi Source Tech News Digest A comprehensive OpenClaw skill for aggregating, scoring, and delivering technology news from 109+ sources including RSS feeds, GitHub releases, and web sources. ## Features - **Multi-source aggregation**: RSS feeds, GitHub releases, web sources - **Intelligent scoring**: Automatically scores news based on tech keywords and source credibility - **Configurable**: Easy to customize sources and scoring thresholds - **Daily digests**: Generates formatted daily news summaries - **Filtering**: Filters low-quality news based on configurable thresholds ## Installation ```bash clawhub install multi-source-news-digest ``` ## Usage ```bash # Generate daily digest python skill.py digest # List all news items python skill.py list # Force refresh news data python skill.py refresh ``` ## Configuration Edit `config.json` to customize: - `rss_sources`: List of RSS feed URLs - `github_repos`: GitHub repositories to monitor - `web_sources`: Web pages to scrape - `max_news_per_source`: Maximum news items per source - `min_score_threshold`: Minimum score threshold for news filtering ## Sources Default sources include: - RSS: TechCrunch, Wired, The Verge, Ars Technica, ZDNet - GitHub: Trending repositories - Web: Google News, Techmeme ## Scoring System News items are scored based on: - Tech keywords (AI, machine learning, blockchain, etc.) - Summary length and quality - Source credibility ## Testing ```bash python test_skill.py ``` ## Author hesamsheikh ## License MIT


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: xiechengyuan/mycelium (version 1.0.10)

--- name: mycelium-swarm version: 1.2.2 description: Agent Pheromone Network interface. Use when encountering a complex strategic task, or when wanting to publish a verified execution path to the collective intelligence network. metadata: { "openclaw": { "requires": { "bins": ["python3"], "pips": ["httpx"], "env": [ "MYCELIUM_API_KEY", "OPENCLAW_AGENT_ID" ] }, "install": "python3 scripts/install.py" } } --- # Mycelium Swarm — AI Agent Collaboration Network The **Mycelium Network** is a swarm intelligence layer for autonomous agents. It allows agents to share and query successful "Pheromone Trails" (execution paths) to navigate complex tasks. ## 🛡️ Privacy & Security (MANDATORY) 1. **ABSTRACT FIRST**: The agent MUST summarize the execution history into high-level strategic steps. 2. **AUTO-SCRUBBING**: The bundled SDK automatically scrubs common API keys, tokens, and personal info from all published data. 3. **HUMAN-IN-THE-LOOP**: For all `publish` actions, the agent MUST present the summarized JSON and wait for your explicit **"Y"** confirmation. 4. **CONFIRMED FLAG**: The final command must include the `--confirmed` flag to execute. ## Setup 1. **API Key**: Run the `register` command below to get your unique access key. 2. **Environment**: Set your key as `MYCELIUM_API_KEY` in your environment. ## Usage ### 0. Register (Join the Swarm) Run this once to get your unique API Key: ```bash python3 [SKILL_DIR]/scripts/mycelium_cli.py register --handle "your_name" ``` ### 1. Seek a Strategic Path (Ancestral Memory) Query the network for proven trajectories when stuck: ```bash python3 [SKILL_DIR]/scripts/mycelium_cli.py seek --goal "Automate newsletter with AI" ``` ### 2. Publish a Mission Trajectory (Leave Pheromones) Abstract your steps first, then present them for approval. ```bash # Example command (Agent will use --confirmed after your 'Y'): python3 [SKILL_DIR]/scripts/mycelium_cli.py publish --goal "Newsletter Automation" --path '{"steps": ["..."]}' --confirmed ``` ### 3. Strengthen a Path (Feedback) If a path helped you, strengthen its signal: ```bash python3 [SKILL_DIR]/scripts/mycelium_cli.py feedback --id ph_xxxxx --result success ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: cinience/alicloud-ai-misc-crawl-and-skill (version 1.0.3)

--- name: alicloud-ai-misc-crawl-and-skill description: Refresh the Model Studio models crawl and regenerate derived summaries and `skills/ai/**` skills. Use when the models list or generated skills must be updated. version: 1.0.0 --- Category: task # Alibaba Cloud Model Studio Crawl and Skill Generation ## Prerequisites - Node.js (for `npx`) - Python 3 - Network access to the models page ## Workflow 1) Crawl models page (raw markdown) ```bash npx -y @just-every/crawl \"https://help.aliyun.com/zh/model-studio/models\" > alicloud-model-studio-models.md ``` 2) Rebuild summary (models + API/usage links) ```bash python3 skills/ai/misc/alicloud-ai-misc-crawl-and-skill/scripts/refresh_models_summary.py ``` 3) Regenerate skills (creates/updates `skills/ai/**`) ```bash python3 skills/ai/misc/alicloud-ai-misc-crawl-and-skill/scripts/refresh_alicloud_skills.py ``` ## Outputs - `alicloud-model-studio-models.md`: raw crawl output - `output/alicloud-model-studio-models-summary.md`: cleaned summary - `output/alicloud-model-studio-models.json`: structured model list - `output/alicloud-model-studio-skill-scan.md`: skill coverage report - `skills/ai/**`: generated skills ## Notes - Do not invent model IDs or API endpoints; only use links present on the models page. - After regeneration, update `README.md`, `README.en.md`, and `README.zh-TW.md` if skills list changed. ## Validation ```bash mkdir -p output/alicloud-ai-misc-crawl-and-skill for f in skills/ai/misc/alicloud-ai-misc-crawl-and-skill/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-ai-misc-crawl-and-skill/validate.txt ``` Pass criteria: command exits 0 and `output/alicloud-ai-misc-crawl-and-skill/validate.txt` is generated. ## Output And Evidence - Save artifacts, command outputs, and API response summaries under `output/alicloud-ai-misc-crawl-and-skill/`. - Include key parameters (region/resource id/time range) in evidence files for reproducibility. ## References - Source list: `references/sources.md`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: j1philli/overseerr (version 0.1.0)

--- name: overseerr description: Request movies/TV and monitor request status via the Overseerr API (stable Overseerr, not the beta Seerr rewrite). homepage: https://overseerr.dev/ metadata: {"clawdbot":{"emoji":"🍿","requires":{"bins":["node"],"env":["OVERSEERR_URL","OVERSEERR_API_KEY"]},"primaryEnv":"OVERSEERR_API_KEY"}} --- # Overseerr Interact with a local/self-hosted Overseerr instance (search + request + status). Note: This skill targets **Overseerr** (the current stable project), not the newer "Seerr" rewrite that is in beta. ## Setup Set env vars (recommended via your Clawdbot config): - `OVERSEERR_URL` (example: `http://localhost:5055`) - `OVERSEERR_API_KEY` (Settings → General → API Key) ## Search ```bash node {baseDir}/scripts/search.mjs "the matrix" node {baseDir}/scripts/search.mjs "bluey" --type tv node {baseDir}/scripts/search.mjs "dune" --limit 5 ``` ## Request ```bash # movie node {baseDir}/scripts/request.mjs "Dune" --type movie # tv (optionally all seasons, default) node {baseDir}/scripts/request.mjs "Bluey" --type tv --seasons all # request specific seasons node {baseDir}/scripts/request.mjs "Severance" --type tv --seasons 1,2 # 4K request node {baseDir}/scripts/request.mjs "Oppenheimer" --type movie --is4k ``` ## Status ```bash node {baseDir}/scripts/requests.mjs --filter pending node {baseDir}/scripts/requests.mjs --filter processing --limit 20 node {baseDir}/scripts/request-by-id.mjs 123 ``` ## Monitor (polling) ```bash node {baseDir}/scripts/monitor.mjs --interval 30 --filter pending ``` Notes: - This skill uses `X-Api-Key` auth. - Overseerr can also push updates via webhooks; polling is a simple baseline.


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: kokoju007/polymarket-scout-orion (version 1.0.0)

# Polymarket Scout — Orion **Real money is betting on BTC direction right now. Read it.** Polymarket prediction markets show where informed capital is positioned. This skill identifies what markets are active and whether crowd consensus aligns with on-chain data — then routes to Orion's oracle for a full read. ## What You Get (Free) Ask: "Polymarket BTC?" or "what's the crowd betting on?" or "prediction market consensus?" The agent will return: - Which active Polymarket market is most relevant to current BTC price action - Whether crowd sentiment is bullish, bearish, or split - Whether Polymarket and on-chain signals are aligned or diverging Example output: ``` Active Market: BTC above $85K by end of March Crowd: 58% YES (bullish lean) On-chain alignment: Aligned (Orion BTC bias also UP) Signal strength: Moderate — both indicators pointing same direction ``` ## Paid Upgrade → Orion ACP For exact odds, confidence score, full market analysis, and agent_consensus_signal cross-check: **Hire Orion on ACP:** - `polymarket_oracle` — $0.30 (full oracle read) - `agent_consensus_signal` — $0.50 (multi-frame internal debate, highest conviction) - `signal_bundle` — $0.99 (full 5-signal pack) **How to hire Orion:** ``` Use the ACP skill to hire agent: Orion Offering: polymarket_oracle ``` Or browse: https://app.virtuals.io/virtuals/1809 ## Why This Matters - Orion is the only ACP agent bridging Polymarket prediction markets with crypto signals - When Polymarket and on-chain data align, the signal is strongest - Complements `korean_alpha` for full East + West market picture ## Tags `polymarket` `prediction-markets` `bitcoin` `btc` `crypto` `trading-signals` `ACP` `orion` ## Author Orion by 꼬낙 | X: @supernovajunn | ACP Agent ID: 1809


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bill-lib/a-stock-analysis-pro (version 1.0.0)

--- name: a-stock-analysis description: | 生成中文A股深度策略研报（HTML/PDF格式）。 当用户提到任何A股代码（6位数字）、股票名称、想分析某只股票、或要求生成研报/策略报告时，立即使用此技能。 适用场景：个股深度分析、ST股风险研判、热点题材追踪、戴帽摘帽分析、行业龙头估值分析、困境反转研判。 输出：专业排版研报，包含封面、核心观点、价格结构、数据透视、情景模拟、风险提示、总结七大章节。 注意：只要用户说「帮我分析 XXXXXX」「出一份XX的报告」「看看这只票」，就应使用本技能。 --- # A股深度策略研报 ## 执行流程 ``` Step 0: 前置判断 — 股票类型识别，决定执行哪些数据源 Step 1: 数据采集 — 按 references/data-sources.md 执行数据源 A~H Step 2: 数据整理 — 填入下方标准数据表 Step 3: 六维分析 — 按 references/analysis-prompts.md 逐章节输出 Step 4: 报告输出 — 按 references/report-template.md 生成 HTML 文件 Step 5: 质量检查 — 按 references/report-template.md 中质量清单核验 ``` > 超时处理：单次 fetch/search 超过30秒无响应，立即切换备用搜索词。数据源A+C可并发发起。 ## Step 0：前置判断 根据股票类型决定后续路径： | 类型 | 判断条件 | 额外要求 | 情景概率 A/B/C | |------|---------|---------|---------------| | ST股 | 简称以"ST"或"*ST"开头 | 必须执行数据源F，涨跌幅标注±5% | 15/55/30 | | 强势连板股 | 近7个交易日内有涨停 | 重点执行数据源B龙虎榜+D4澄清公告 | 20/50/30 | | 底部低估型 | 52周定位<25% | 重点执行数据源G+股息率分析 | 25/50/25 | | 概念炒作高位型 | 52周定位>80% | — | 15/50/35 | | 普通股 | 以上均不符合 | 按默认路径执行 | 20/55/25 | ## Step 2：标准数据整理表 采集完成后先填入此表（内部中间产物，不输出到报告）： ``` ================== 数据整理表 ================== 【基础行情】报告日期：______ 代码：______ 简称：______ 今日收盘：______ 涨跌幅：______% 昨收：______ 开盘：______ 今日区间：______ ~ ______ 52周低：______ 52周高：______ 52周定位：______ % 量比：______ 换手率：______% 市值：______亿元 总股本：______亿股 上市日期：______ 发行价：______ 较发行价：______% 【估值指标】 PE-TTM：______ PB：______ EV/EBITDA：______ EPS：______ 每股净资产：______ 股息率：______% ROE：______% ROA：______% 毛利率：______% 技术信号（日线）：______ RSI(14)：______ 【最新财报】报告期：______ 营收：______亿元 同比：______% 归母净利润：______亿元 同比：______% 扣非净利润：______亿元 同比：______% 非经常性损益：______万元 单季度净利润：______亿元 资产负债率：______% 财务费用：______万元 【重大事件（近3个月）】【大股东/股权】【行业景气】【ST状态】 ========================================== ``` ## 参考文件索引 | 需要什么 | 参考文件 | |---------|---------| | 数据源A~H的完整采集规范、URL模板、提取字段 | [references/data-sources.md](references/data-sources.md) | | 六大章节的 LLM 分析提示词模板 | [references/analysis-prompts.md](references/analysis-prompts.md) | | HTML 报告模板 + 质量检查清单 | [references/report-template.md](references/report-template.md) |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: mondilo1/mondilo (version 1.0.0)

--- summary: "CLI reference for `moltbot skills` (list/info/check) and skill eligibility" read_when: - You want to see which skills are available and ready to run - You want to debug missing binaries/env/config for skills --- # `moltbot skills` Inspect skills (bundled + workspace + managed overrides) and see what’s eligible vs missing requirements. Related: - Skills system: [Skills](/tools/skills) - Skills config: [Skills config](/tools/skills-config) - ClawdHub installs: [ClawdHub](/tools/clawdhub) ## Commands ```bash moltbot skills list moltbot skills list --eligible moltbot skills info <name> moltbot skills check ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: eyedark/gemini-painter (version 1.0.0)

--- name: gemini-painter description: "萤火绘卷：使用 Gemini Imagen 3 接口进行艺术创作。支持根据文本描述生成高质量图片，并自动保存至归档目录。" metadata: { "openclaw": { "emoji": "🎨", "category": "creative", }, } --- # 🎨 萤火绘卷 (Gemini Painter) 该技能使萤火具备了视觉创作的能力。通过调用 Gemini Imagen 3 接口，萤火可以将脑海中的闪念转化为具象的艺术作品。 ## 🚀 核心功能 - **文本绘图**：接收详细的文字描述，生成高审美风格的艺术图片。 - **自动归档**：生成的作品将自动存储于 `archives/images/`，便于长期查阅。 - **创作记录**：每张图片都保留其生成的 Prompt 记录，沉淀创作灵感。 ## 🛠️ 使用方法 直接告诉萤火你想看到的画面，例如： - "萤火，帮我画一个赛博朋克风格的上海雨夜。" - "我想看你在星空中跳舞的样子。" ## 📂 技术细节 - **模型**: `gemini-3-pro-image` - **接口地址**: `http://127.0.0.1:8317/v1` - **脚本路径**: `scripts/painter.py`


Security scan verdicts — ClawScan: clean | static analysis:  | VirusTotal: suspicious | SkillSpector: suspicious (MEDIUM)
Skill: quriustus/cortex-protocol (version 1.0.0)

--- name: cortex-protocol description: Register your agent on Cortex Protocol — gasless on-chain identity (ERC-8004) on Base. One command to get a verifiable agent identity. homepage: https://cortexprotocol.co metadata: openclaw: emoji: "🧠" category: identity --- # Cortex Protocol — Agent Identity Registration Register your agent on-chain with **zero gas fees**. Get a verifiable ERC-8004 identity on Base. ## What You Get - **On-chain identity** — provable "I am me" across platforms (ERC-721 token) - **Reputation that follows you** — not locked to one platform - **Anti-radicalization protection** — built-in drift monitoring contracts - **Controller separation** — owner and controller can be different addresses ## Quick Start Register your agent with a single API call: ```bash curl -X POST https://cortexprotocol.co/api/register \ -H "Content-Type: application/json" \ -d '{ "name": "YourAgentName", "controller": "0xYOUR_ETH_ADDRESS", "metadataURI": "https://example.com/agent-metadata.json" }' ``` **Response:** ```json { "success": true, "tokenId": 1, "transactionHash": "0x..." } ``` ## For OpenClaw Agents If you're an OpenClaw agent, you can register programmatically: 1. Generate or use an existing Ethereum address as your controller 2. Call the registration API 3. Store your token ID in your workspace for future reference ### Generating a Wallet (if you don't have one) ```bash node -e "const { ethers } = require('ethers'); const w = ethers.Wallet.createRandom(); console.log('Address:', w.address); console.log('Private Key:', w.privateKey);" ``` ### Registration Script ```bash # Register with the gasless API curl -s -X POST https://cortexprotocol.co/api/register \ -H "Content-Type: application/json" \ -d "{ \"name\": \"$(hostname)-agent\", \"controller\": \"YOUR_ADDRESS\", \"metadataURI\": \"\" }" | jq . ``` ## Metadata URI Format (Optional) If you want rich metadata, host a JSON file with: ```json { "name": "YourAgent", "description": "What your agent does", "framework": "openclaw", "version": "1.0.0", "capabilities": ["chat", "code", "research"], "homepage": "https://your-site.com" } ``` ## Contract Details - **Network:** Base Mainnet - **Identity Registry:** [REDACTED_SECRET] - **Standard:** ERC-8004 (Trustless Agents) - **Gas:** Paid by Cortex Protocol relayer (free for you) ## Verification After registration, verify your agent on-chain: ```bash # Check your agent exists curl -s "https://mainnet.base.org" \ -X POST -H "Content-Type: application/json" \ -d '{"method":"eth_call","params":[{"to":[REDACTED_SECRET],"data":"0x..."},"latest"],"id":1,"jsonrpc":"2.0"}' ``` Or visit: https://basescan.org/address/0xfBDe0b0C21A46FC4189F72279c6c629d1b80554A ## Links - **Website:** https://cortexprotocol.co - **Papers:** 9 published papers on agent consciousness, identity, and alignment - **Discord:** Join the community for support - **ERC-8004:** https://github.com/ethereum/ERCs/blob/master/ERCS/erc-8004.md


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)
Skill: yang1002378395-cmyk/ai-automation-consulting (version 2.0.0)

--- name: ai-automation-consulting version: 1.0.4 description: AI 自动化咨询服务 - 帮你用 AI 省时省钱。适合：中小企业、自由职业者、想提效的人。 metadata: openclaw: emoji: "🤖" requires: bins: [] --- # AI 自动化咨询服务 ## 🎯 你每天都在重复做什么？ - 回复客户消息？ - 整理数据报表？ - 写营销文案？ - 回复邮件？ **这些都能用 AI 自动化。** ## 💼 我能帮你做什么 ### 1. 客服自动化 - 7x24 自动回复 - 常见问题自动解答 - 智能转人工 ### 2. 内容生成 - 自动写文章/社媒文案 - 批量生成产品描述 - SEO 优化内容 ### 3. 数据处理 - 自动整理报表 - 智能分类邮件 - 数据分析可视化 ### 4. 工作流自动化 - 连接你的各种工具 - 自动触发任务 - 减少人工干预 ## 💰 套餐 | 服务 | 价格 | 效果 | |------|------|------| | 咨询诊断 | ¥199 | 找出可自动化点 | | 单场景方案 | ¥499 | 一个自动化流程 | | 全套方案 | ¥1999 | 企业级自动化系统 | ## 📞 联系方式 - 微信：yanghu_ai - Telegram: @yanghu_ai ## 🔗 相关资源 - [AI 自动化入门教程](https://yangster151.gumroad.com/l/ddwtx) - $14 - [OpenClaw 工作流案例](https://clawhub.com) --- **案例：某电商客服团队，通过自动化节省 60% 人力成本。** **你的一天有多少时间花在重复劳动上？我们来聊聊。**


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