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🦀 ClawHub

Anti-Crawler Evasion

by @plover061

防止被反爬虫机制识别和封禁。当用户需要进行网页爬取、数据采集、API访问，或询问如何绕过反爬、避免IP封禁、隐藏爬虫身份时使用。触发词包括：反爬、反爬虫、绕过反爬、避免封禁、爬虫伪装、隐身爬取。

Versionv1.0.0

Use this skill with your agent

Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.

Task-oriented agent. Great for testing AI skills end-to-end.

Local-first agent. Install skills via ClawHub CLI.

Set up OpenClaw →

Anthropic's coding agent. Paste the prompt or SKILL.md into your session.

Claude Code docs →

AI-powered IDE. Use the smoke-test prompt in Cursor Agent.

Open Cursor →

Open-source AI code assistant. Add SKILL.md as a custom tool.

Continue docs →

Agentic IDE by Codeium. Paste the prompt into Cascade.

Try Windsurf →

VS Code extension for autonomous coding with MCP tools.

Cline on GitHub →

Copilot Workspace

GitHub's AI dev environment. Suitable for code-generation skills.

Copilot Workspace →

What to do next

Skills are meant to be used inside your own AI agent. Install it, run a quick smoke test, then ask your agent to apply it to your real task.

1

Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.

2

Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.

3

Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.

I just installed the Anti-Crawler Evasion skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.