BytesAgain › Skills › Anti-Crawler Evasion
🦀 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.
Manusinvite
Task-oriented agent. Great for testing AI skills end-to-end.
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OpenClaw
Local-first agent. Install skills via ClawHub CLI.
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Claude Code
Anthropic's coding agent. Paste the prompt or SKILL.md into your session.
Claude Code docs →
Cursor
AI-powered IDE. Use the smoke-test prompt in Cursor Agent.
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Continue.dev
Open-source AI code assistant. Add SKILL.md as a custom tool.
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Windsurf
Agentic IDE by Codeium. Paste the prompt into Cascade.
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Cline
VS Code extension for autonomous coding with MCP tools.
Cline on GitHub →
Copilot Workspace
GitHub's AI dev environment. Suitable for code-generation skills.
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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.