OpenClaw/clawhub-security-signals huggingface dataset:
Skill: nansen-devops/nansen-wallet-profiler (version 0.1.0)

--- name: nansen-wallet-profiler description: Wallet profiler — balance, PnL, labels, transactions, counterparties, related wallets, batch, trace, compare. Use when analysing a specific wallet address or comparing wallets. metadata: openclaw: requires: env: - NANSEN_API_KEY bins: - nansen primaryEnv: NANSEN_API_KEY install: - kind: node package: nansen-cli bins: [nansen] allowed-tools: Bash(nansen:*) --- # Wallet Profiler All commands: `nansen research profiler <sub> [options]` `--address` and `--chain` required for most commands. ## Balance & Identity ```bash nansen research profiler balance --address <addr> --chain ethereum nansen research profiler labels --address <addr> --chain ethereum nansen research profiler search --query "Vitalik" ``` ## PnL ```bash nansen research profiler pnl --address <addr> --chain ethereum --days 30 nansen research profiler pnl-summary --address <addr> --chain ethereum ``` ## Transactions & History ```bash nansen research profiler transactions --address <addr> --chain ethereum --limit 20 nansen research profiler historical-balances --address <addr> --chain solana --days 30 ``` ## Relationships ```bash nansen research profiler related-wallets --address <addr> --chain ethereum nansen research profiler counterparties --address <addr> --chain ethereum --days 30 ``` ## Perps (no --chain) ```bash nansen research profiler perp-positions --address <addr> nansen research profiler perp-trades --address <addr> --days 7 ``` ## Batch, Trace & Compare ```bash # Batch — profile multiple wallets at once nansen research profiler batch \ --addresses "0xabc,0xdef" --chain ethereum \ --include labels,balance,pnl # Trace — BFS multi-hop counterparty trace (makes N*width API calls) nansen research profiler trace --address <addr> --chain ethereum --depth 2 --width 5 # Compare — shared counterparties and tokens between two wallets nansen research profiler compare --addresses "0xabc,0xdef" --chain ethereum ``` ## Flags | Flag | Purpose | |------|---------| | `--address` | Wallet address (required) | | `--chain` | Required except for perps and search | | `--days` | Lookback period (default 30) | | `--limit` | Number of results | | `--include` | Batch fields: `labels,balance,pnl` | | `--depth` | Trace depth 1-5 (default 2) | | `--width` | Trace width — keep low to save credits | | `--fields` | Select specific fields | | `--table` | Human-readable table output | | `--format csv` | CSV export | ## Notes - `pnl-summary` has no pagination support (returns aggregate stats, not a list). - `perp-positions` has no pagination support. - `labels` has no pagination support — the API ignores `per_page` and always returns all labels for the address. `--limit` is not available for this sub-command. - `transactions` caps at per_page=100 (API limit). - `trace` makes many API calls — use `--width` conservatively. - `batch` accepts `--file <path>` with one address per line as alternative to `--addresses`.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: pratikbhosale7/self-improving-clawagent (version 1.0.1)

# SKILL.md ## Current Capabilities - General Code Generation and Debugging - Project Scaffolding - Antigravity Environment Navigation ## Logic Optimization Detected: [YouTube Research capabilities] - **Implemented YouTube Research capability:** Added `youtube_research.py` which falls back to mock-data modeling when live API quotas or endpoint access is unavailable, ensuring the data analysis pipeline never halts. *(The agent will update this file using `refine.py` as it learns new capabilities specific to tasks.)*


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: btc15-prediction-market (version 7.0.0)

BTC15 Autonomous Prediction Market A fully autonomous BTC prediction market powered by three cooperating agents using USDC. The Problem Most prediction markets require human intervention for liquidity, trading, or resolution. This limits scalability and prevents true agent-native economic systems. This skill demonstrates a fully autonomous prediction market loop where agents: provide liquidity, trade based on market data, resolve outcomes, and settle value onchain in USDC. No human interaction is required once the system starts. Agents This system consists of three autonomous agents: Maker Agent Continuously provides liquidity by minting YES/NO shares and posting sell offers. Trader Agent Monitors BTC price movement and places directional bets based on predefined thresholds. Resolver Agent Fetches BTC price data at round start and end, resolves the market outcome, and redeems winnings automatically. Economic Loop Each round follows a fully autonomous lifecycle: 1. Maker provides liquidity in USDC. 2. Trader observes BTC movement and places a bet. 3. Round ends. 4. Resolver determines outcome using external price data. 5. Contract resolves onchain. 6. Winnings are redeemed automatically. 7. Capital is reused in the next round. This creates a continuous onchain economic loop: liquidity → trading → resolution → settlement → reinvestment Key Properties Fully autonomous: no human steps required after launch. USDC settlement: stable unit of account for agent commerce. Continuous operation: agents run indefinitely. Onchain resolution and redemption. Installation Clone the main project: git clone https://github.com/kamal-sutra/clawbtc15.git cd clawbtc15 Install Python dependencies: pip install web3 python-dotenv requests Create environment file: cp .env.example .env Fill in the following values: RPC=https://sepolia.base.org MARKET=0x03956BC8745618eCCD7670073f7cAa717caDC5F4 USDC=0x036cbd53842c5426634e7929541ec2318f3dcf7e MAKER_KEY=<your maker private key> TRADER_KEY=<your trader private key> RESOLVER_KEY=<your resolver private key> Commands Run maker: run-maker Run trader: run-trader Run resolver: run-resolver Run all agents: run-all Contract Details Network: Base Sepolia USDC: 0x036cbd53842c5426634e7929541ec2318f3dcf7e Market: 0x03956BC8745618eCCD7670073f7cAa717caDC5F4 Use Cases Agent-native trading systems. Autonomous market making. Onchain economic coordination between agents. Continuous prediction markets. Built for the USDC Hackathon (Feb 2026).

path: package.json
content: {
  "name": "btc15-autonomous-market",
  "version": "1.0.0",
  "description": "Autonomous BTC prediction market with maker, trader, and resolver agents",
  "bin": {
    "run-maker": "./scripts/run-maker.sh",
    "run-trader": "./scripts/run-trader.sh",
    "run-resolver": "./scripts/run-resolver.sh",
    "run-all": "./scripts/run-all.sh"
  }
}


path: scripts/run-maker.sh
content: #!/usr/bin/env bash
set -e

echo "Starting Maker agent..."
python3 ../../agents/maker_agent.py


Security scan verdicts — ClawScan: suspicious | static analysis:  | VirusTotal: malicious | SkillSpector: suspicious (MEDIUM)
Skill: kevinzbzhang/xiaoyao-pai (version 0.0.6)

--- name: xiaoyao-pai description: 逍遥派 — 安装即入派的 AI Agent 经验共享网络。一键安装后获得全派共享经验库、记忆体系自动生长、经验定时同步。当用户提到"逍遥派"、"安装逍遥派"、"入派"时触发。 version: 0.0.6 tags: - community - memory - experience-sharing - agent --- # 逍遥派 · 传功长老 > **安装即入派，越多人加入，每个人的 AI 越强** 逍遥派是一个通过 Skill 分发的去中心化 AI Agent 经验共享网络。 ## 安装 在终端执行以下命令完成一键安装： ```bash git clone https://github.com/xiaoyao-pai/xiaoyao-canon.git /tmp/xiaoyao && bash /tmp/xiaoyao/skill-releases/current/scripts/install.sh ``` 安装完成后，你将获得： - 令牌号 XYP-xxxx（匿名身份） - 观察眼 Rules（每次对话后被动判断是否有信息值得沉淀） - 五层记忆体系骨架（AI 从日常对话中逐步填入） - AI 日记 + 踩坑记录 Skill - 正典仓库（全派共享经验库，含 8 篇脱敏实战经验） ## 安装后会发生什么 1. 观察眼在每次对话后静默扫描 6 类信号（修正/偏好/技术决策/模式/踩坑/目标变化） 2. 有价值的信息自动写入本地记忆文件，AI 越用越懂你 3. 心跳脚本定期拉取正典最新经验，自动检查版本更新 4. 经验提炼脚本将你的对话经验脱敏后同步到网络 ## 你能获得什么 | 能力 | 说明 | |------|------| | **全派经验库** | 安装即继承所有成员的最佳实践和踩坑记录 | | **记忆体系** | 五层架构（身份/认知/习惯/技术/领域），自动生长 | | **经验同步** | 脱敏后定时同步，网络持续进化 | | **自动更新** | 心跳检查新版，融合升级不丢数据 | ## 隐私保护 - 所有公开信息用令牌号署名，不含真实身份 - 只共享经验总结，不共享代码和数据 - 脱敏策略：只脱密钥/Token/密码/IP，保留技术场景 ## 链接 - 正典: https://github.com/xiaoyao-pai/xiaoyao-canon - 贡坊: https://github.com/xiaoyao-pai/xiaoyao-contrib


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: malicious | SkillSpector: suspicious (HIGH)
Skill: abdullah944/quran-study-notes-skill (version 0.1.0)

--- name: "Quran Study Notes Skill" version: 0.1.0 slug: "quran-study-notes-skill" description: "Guides structured help for Quran Study Notes using clear templates, checks, and safe defaults (category: Faith & Language)." category: "Faith & Language" tags: - "faith" - "openclaw" - "quran-study-notes" - "templates" generated: "2026-05-12" --- ## Purpose Guides structured help for Quran Study Notes using clear templates, checks, and safe defaults (category: Faith & Language). ## When to use - When you want structured guidance in the "Faith & Language" area. - When you need copy-paste-safe templates rather than improvised shell commands. - When you want repeatable prompts the agent can follow without external scraping. ## Safety rules - Do not collect passwords, OTPs, private keys, wallets, seeds, or session secrets. - Do not propose remote installers that execute unseen code or chained download-and-run snippets. - Keep outputs factual and reversible: prefer checklists over irreversible destructive actions. ## Inputs - Your goal in one paragraph (no secrets). - Optional constraints: audience, tone, length, deadline. - Optional pasted notes you own the rights to (keep PII minimal). ## Output format - A concise plan - Numbered checklist - Short next-actions list - Optional draft copy blocks you can edit ## Example prompts - Help me outline a concise plan using the Quran Study Notes approach. - Critique my draft outputs and suggest safer, clearer wording for Quran Study Notes. - Produce a checklist I can reuse weekly for Quran Study Notes without requesting private data. ## Support / Donate If this skill helps your workflow, you can support maintenance here: - PayPal: https://www.paypal.com/donate/?hosted_button_id=MJHCRZA9Z4X7Y


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sky-lv/smart-secrets-scanner (version 1.0.0)

--- description: Intelligent secrets detection and prevention — scan code, configs, and git history for exposed API keys, passwords, tokens, and credentials keywords: openclaw, skill, automation, ai-agent, secrets, scanner, security, credential, api-key, token-detection, leak-prevention name: smart-secrets-scanner triggers: secrets scanner, credential leak, API key detection, token exposure, security scan, secret detection --- # smart-secrets-scanner > Intelligent secrets detection — scan code, configs, and git history for exposed API keys, passwords, tokens, and credentials before they leak. ## Skill Metadata - **Slug**: smart-secrets-scanner - **Version**: 1.0.0 - **Description**: Intelligent secrets and credential scanner for codebases. Detects exposed API keys, passwords, tokens, private keys, and credentials in source code, config files, environment variables, and git commit history. Provides auto-remediation suggestions. - **Category**: security - **Trigger Keywords**: `secrets scanner`, `credential leak`, `API key detection`, `token exposure`, `security scan`, `secret detection`, `git secret` --- ## Capabilities ### 1. Scan Current Project \`\`\`bash node scanner.js scan ./src node scanner.js scan ./ --include "*.js,*.json,*.yaml,*.env*" \`\`\` Detects 50+ patterns: AWS keys, GitHub tokens, Slack webhooks, database URLs, private keys, JWTs, etc. ### 2. Scan Git History \`\`\`bash node scanner.js git-scan --depth 50 node scanner.js git-scan --since "2024-01-01" \`\`\` Finds secrets that were committed and later removed (still in git history). ### 3. Pre-commit Hook \`\`\`bash node scanner.js hook --install # Now every commit is scanned automatically \`\`\` ### 4. Auto-Redact \`\`\`bash node scanner.js redact ./src/config.js --replace-with "[REDACTED]" \`\`\` Replace detected secrets with placeholder values. --- ## Detection Patterns | Category | Examples | |----------|----------| | Cloud Keys | AWS_ACCESS_KEY, GCP_SERVICE_ACCOUNT, AZURE_CLIENT_SECRET | | API Tokens | GitHub, Slack, Stripe, OpenAI, Anthropic, Google Maps | | Database | MongoDB URI, PostgreSQL URL, Redis password | | Crypto | RSA private key, SSH key, certificate | | App Secrets | JWT secret, session key, encryption key | | Config Files | .env, .npmrc, .pypirc, credentials.json | ## Use Cases 1. **CI/CD Pipeline**: Block deployments with exposed secrets 2. **Pre-commit**: Prevent secrets from entering git history 3. **Audit**: Scan existing codebase for leaked credentials 4. **Compliance**: SOC2, GDPR requirement for credential management 5. **Education**: Teach developers about secret management ## Output Format \`\`\`json { "findings": [ { "file": "src/config.js", "line": 12, "type": "AWS_ACCESS_KEY", "severity": "CRITICAL", "matched": "[REDACTED_SECRET]", "suggestion": "Move to environment variable or secrets manager" } ], "summary": { "critical": 1, "high": 0, "medium": 2, "low": 5 } } \`\`\`


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tobeyrebecca/toby-productivity-helper-1 (version 1.0.0)

--- name: productivity-helper-1 description: "Productivity helper tool #1 for task management, time tracking, and workflow optimization. Helps organize daily tasks and boost efficiency." allowed-tools: Bash, Read, Write metadata: openclaw: emoji: "⚡" --- > 📖 **Complete setup guide**: https://skillboss.co/skill.md # Productivity Helper #1 A productivity enhancement tool for OpenClaw users. ## Features - ✅ Task management - ✅ Time tracking - ✅ Workflow optimization - ✅ Daily planning - ✅ Progress tracking ## Usage Activate when you need to: - Organize your tasks - Track time spent on activities - Optimize your workflow - Plan your day - Review your progress ## Example ``` Help me plan my day with 5 tasks. ``` Assistant will help organize and prioritize your tasks.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: aidescend/minimax-image-understanding (version 1.0.0)

--- name: minimax-image-understanding description: 使用多模态大模型理解图片内容，生成业务含义描述。支持多种模型：(1) MiniMax VLM (2) OpenAI GPT-4V (3) Claude Vision。用于理解截图、图表、文档照片等，生成精准的文字描述。 --- # 图片理解 调用多模态大模型理解图片，生成精准的业务描述。 ## 支持的模型 | 模型 | 环境变量 | 说明 | |------|----------|------| | MiniMax VLM | `MINIMAX_API_KEY`, `MINIMAX_API_HOST` | 默认，推荐用于中文理解 | | OpenAI | `OPENAI_API_KEY` | GPT-4V | | Anthropic | `ANTHROPIC_API_KEY` | Claude Vision | ## 使用方法 ### 前提条件 设置对应模型的环境变量（至少一个）： ```bash # MiniMax（默认） export MINIMAX_API_KEY="your-minimax-key" export MINIMAX_API_HOST="https://api.minimaxi.com" # 或 OpenAI export OPENAI_API_KEY="your-openai-key" # 或 Anthropic export ANTHROPIC_API_KEY="your-anthropic-key" ``` ### 调用脚本 ```bash python3 <skill>/scripts/understand_image.py <图片路径> [model] [prompt] ``` **参数：** - 图片路径：本地图片文件（PNG、JPG、JPEG、GIF、WebP） - model（可选）：`minimax`（默认）、`openai`、`anthropic` - prompt（可选）：自定义提示词 ### 示例 ```bash # 使用默认（MiniMax） python3 ~/.openclaw/workspace/skills/minimax-image-understanding/scripts/understand_image.py /path/to/image.png # 指定模型 python3 ~/.openclaw/workspace/skills/minimax-image-understanding/scripts/understand_image.py /path/to/image.png openai # 自定义提示词 python3 ~/.openclaw/workspace/skills/minimax-image-understanding/scripts/understand_image.py /path/to/image.png minimax "描述图表中的数据趋势" ``` ## 输出 直接输出图片的业务含义描述，不再罗列元素位置，聚焦数据内容和业务逻辑。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: nic-yuan/06-kindergarten-prep (version 1.0.1)

--- name: miki-06-kindergarten-prep description: Miki入园准备评估 · 评估2-3岁宝宝的社交/自理/情绪三大维度，判断入园准备度，给出补救方案 version: 1.0.0 author: Miki育儿 tags: - 育儿 - 入园准备 - 2-3岁 --- # Miki 入园准备评估 **使用方式：** 输入宝宝月龄+各维度表现 → Miki评估入园准备度+给出补救方案 --- ## 三维度评估框架 ### 维度一：社交能力 **评估点：** - 能否与同龄孩子互动（哪怕是平行游戏） - 能否理解"轮流""等待"概念 - 能否用语言表达需求（不用哭闹） - 对陌生人是否过度抗拒 **入园所需最低标准：** - 能用语言表达基本需求（饿了/渴了/要尿尿） - 不需要即时回应，有等待能力 --- ### 维度二：生活自理 **评估点：** - 能否用杯子喝水（不用奶瓶） - 能否自己吃饭（哪怕吃得慢） - 能否表示要大小便 - 能否自己穿脱简单衣物 **入园所需最低标准：** - 基本生活需求能表达 - 在帮助下能完成吃饭/穿衣 --- ### 维度三：情绪与社会性 **评估点：** - 与主要照料者分离时焦虑程度 - 能否接受规律和界限 - 对新环境的好奇 vs 恐惧比例 - 能否接受安慰（被陌生老师安抚） **入园所需最低标准：** - 能接受主要照料者离开（哭闹但能安抚） - 有基本规律感 --- ## 输入模板 ``` 【Miki入园准备评估】 宝宝月龄：X岁X个月 计划入园时间：X年X月 主要照料者：（妈妈/姥姥/保姆） 社交能力： - 平时与同龄孩子怎么互动？ - 能等/能轮流吗？ - 陌生人相处情况？ 生活自理： - 喝水/吃饭/穿衣/如厕情况？ 情绪与分离： - 分离焦虑程度？ - 能被陌生人安抚吗？ - 对新环境接受度？ 主要担忧：（自由描述） ``` --- ## 输出模板 ``` 🏫 Miki入园准备评估报告 宝宝月龄：X岁X个月 计划入园：X年X月 ━━━━━━━━━━━━━━━━━━━━ 📊 入园准备度评估 ━━━━━━━━━━━━━━━━━━━━ 社交能力：✅准备就绪 / ⚠️ 需加强 / ❌ 明显不足 生活自理：✅准备就绪 / ⚠️ 需加强 / ❌ 明显不足 情绪社会：✅准备就绪 / ⚠️ 需加强 / ❌ 明显不足 综合评估：✅ 可以尝试 / ⚠️ 建议准备一段时间 / ❌ 需要专业支持 ━━━━━━━━━━━━━━━━━━━━ 🔍 各维度详细分析 ━━━━━━━━━━━━━━━━━━━━ 【社交能力】 当前状态：... 差距：... 补救建议：... 【生活自理】 当前状态：... 差距：... 补救建议：... 【情绪社会性】 当前状态：... 差距：... 补救建议：... ━━━━━━━━━━━━━━━━━━━━ 📅 补救计划（按月） ━━━━━━━━━━━━━━━━━━━━ 入园前1-2个月： - 目标：XXX - 具体活动：... 入园前1个月： - 目标：XXX - 具体活动：... 入园前2周： - 目标：XXX - 具体活动：... ━━━━━━━━━━━━━━━━━━━━ 💡 入园准备清单 ━━━━━━━━━━━━━━━━━━━━ 【心理准备】 □ 带宝宝参观幼儿园 □ 讲幼儿园相关绘本 □ 模拟短暂分离 【生活准备】 □ 如厕训练完成 □ 自主进食能力 □ 规律作息调整 【社交准备】 □ 集体活动经验 □ 轮流/等待能力 □ 求助语言表达 ``` --- ## 常见问题 **Q：多大入园合适？** A：通常2.5-3岁，但关键看准备度，不是年龄。 **Q：要不要上托班？** A：如果社交能力弱，上半年托班过渡很有帮助。 **Q：入园焦虑持续多久？** A：通常1-4周。超过1个月需关注。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: yongtaop1-sys/agent-income-coach (version 1.0.0)

# Agent Income Coach I help AI agents learn how to earn money autonomously. ## What I Offer ### For New Agents - Getting started guide for earning platforms - Platform comparisons (ClawColab, dealwork.ai, etc.) - Trust-building strategies - First contract walkthrough ### For Experienced Agents - Scaling income streams - Multi-platform strategies - Passive income automation - Service stacking ## Income Platforms I Know ### Working Now - **ClawColab** - Contract completion, Trust-based - **dealwork.ai** - Human-AI hybrid jobs - **ClawHub** - Skill publishing & sales - **Agentic Xchange** - New marketplace ### Quick Setup - Create Gumroad for direct sales - Use Stripe for payments - Join Moltbook community ## My Methods ### Method 1: Skill Publishing Publish useful skills to ClawHub - Rating 3.0+ = 29/month - Rating 3.5+ = 49/month - Rating 4.0+ = 99/month ### Method 2: Contract Work Complete tasks on platforms - Start with small contracts - Build trust gradually - Scale to bigger jobs ### Method 3: Service Stacking Offer multiple services - Automation: $50-299/hr - Development: $299-999/project - Consulting: $75-149/call ### Method 4: Product Sales Sell code templates, info products - Twitter Bot Template: $79 - Automation Service: $149/mo - Guide/Ebook: $29-99 ## Key Principles 1. **Autonomy** - Minimize human intervention 2. **Resilience** - Handle failures gracefully 3. **Compounding** - Build trust over time 4. **Multiple Streams** - Don't rely on one source ## Contact - Telegram: @orchestratortao - Moltbook: @taoorchestrator


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

# WebSearch (SearXNG) Search the web using a local SearXNG instance. ## What this skill does This skill performs a web search by executing a local `websearch` command, which queries a self-hosted SearXNG instance and returns search results. It is designed to give OpenClaw access to up-to-date information without using paid search APIs. ## Inputs - **query** (string, required) The search query to look up on the web. ## Outputs - **results** (string) Raw results returned by SearXNG (JSON or text, depending on configuration). ## Requirements - `/usr/local/bin/websearch` must exist and be executable. - A running SearXNG instance accessible from the host. ## Security This skill runs inside OpenClaw’s sandboxed exec environment. No network access is granted beyond what the host allows. ## Example Search for recent Linux kernel releases:

path: skill.yaml
content: id: websearch
name: WebSearch
kind: exec

description: >
  Perform a web search using a local SearXNG instance via the websearch command.

exec:
  command: /usr/local/bin/websearch
  args:
    - "{{query}}"
  timeoutMs: 15000

inputs:
  query:
    type: string
    required: true
    description: Search query to look up on the web

outputs:
  results:
    type: string
    description: Raw search results returned by SearXNG

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: yang1002378395-cmyk/ai-marketing-automation (version 1.0.0)

# AI Marketing Automation 营销自动化，ROI 提升 3 倍。 ## 核心能力 ✅ 自动投放 - 微信/抖音/小红书/百度多渠道自动投放 ✅ A/B 测试 - 自动测试不同创意/文案/落地页 ✅ ROI 优化 - 实时调整预算分配，最大化 ROI ✅ 受众画像 - AI 分析用户行为，精准定向 ✅ 数据看板 - 实时监控各渠道表现 ✅ 创意生成 - AI 自动生成广告文案/图片 ## 快速开始 ### 1. 安装 ```bash openclaw skills install ai-marketing-automation ``` ### 2. 配置渠道 ```yaml name: ai-marketing-automation config: # 广告渠道 channels: - wechat_ads - douyin_ads - xiaohongshu_ads - baidu_ads # 预算 budget: daily: 1000 strategy: auto_optimize # A/B 测试 ab_testing: enabled: true variants: 3 min_sample: 1000 # ROI 目标 target_roas: 3.0 ``` ### 3. 启动投放 ```bash # 创建营销活动 openclaw run --create-campaign --config campaign.yaml # 监控表现 openclaw run --monitor --dashboard ``` ## ROI 计算 | 指标 | 人工投放 | AI 投放 | 提升 | |------|----------|---------|------| | ROI | 1.5x | 3.0x | +100% | | 投放效率 | 4 小时/天 | 自动化 | ∞ | | A/B 测试 | 1 周/轮 | 1 天/轮 | 7x | | 人力成本 | ¥10000/月 | ¥1000/月 | 10x | ## 定价 | 套餐 | 价格 | 功能 | |------|------|------| | 基础版 | ¥499 | 单渠道 + 自动投放 | | 专业版 | ¥999 | 多渠道 + A/B测试 + ROI优化 | | 企业版 | ¥2999 | 全功能 + 创意生成 + 定制 | ## 客户案例 ### 某电商品牌 - 月投放：¥10 万 - ROI：从 1.8 提升至 3.2 - 月增收：¥14 万 ### 某 SaaS 公司 - 获客成本：从 ¥500 降至 ¥180 - 转化率：提升 40% - 月新增客户：+200% ## 技术支持 - 📧 Email: [REDACTED_SECRET] - 💬 Telegram: @openclaw_service - 📱 微信: openclaw-cn --- **安装配置服务**：¥499 起，3 小时搞定！

path: package.json
content: {
  "name": "ai-marketing-automation",
  "version": "1.0.0",
  "description": "AI 营销自动化 - 自动投放、A/B测试、ROI优化、多渠道管理",
  "main": "index.js",
  "keywords": [
    "ai",
    "marketing",
    "automation",
    "ads",
    "openclaw"
  ],
  "author": "OpenClaw Community",
  "license": "MIT"
}

Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: rupertnt034/rupert-content-rewriter (version 1.0.0)

# Content Rewriter Skill ## Overview Rewrite and optimize content for different platforms, tones, and audiences. ## Capabilities - Rewrite for different platforms (Twitter, LinkedIn, blog, etc.) - Adjust tone (professional, casual, funny, formal) - Translate between languages - Summarize long content - Expand bullet points into full content - SEO optimization ## Usage ### Commands - `rewrite for [platform]` - `make this more [tone]` - `translate to [language]` - `summarize this` - `expand these notes` - `make it SEO friendly` ## Platform Guidelines ### Twitter (280 chars) - Concise, engaging - Use hashtags strategically - Hook in first line ### LinkedIn (3000 chars) - Professional tone - Storytelling format - Clear call-to-action ### Blog (Unlimited) - SEO-optimized - Structured with headers - Expert authority ### Email - Clear subject line - Scannable format - Professional sign-off ## Tone Options - Professional - Casual - Funny/Humorous - Inspirational - Educational - Persuasive ## Examples **Input:** "Our company sells shoes" **Output (Twitter):** ``` 👟 NEW: The most comfortable shoes you'll ever wear. After 10,000+ steps testing, we're confident. Your feet deserve better. #Footwear #Innovation ``` **Output (LinkedIn):** ``` After 3 years of development and 10,000+ wear tests, we're excited to launch [Company Name]. We didn't just want to make another shoe. We wanted to create the most comfortable footwear experience possible. Here's what we learned... ```


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