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ClawSafe

clawSafe 是面向 AI Agent 的安全检测中间件,分为 LLM、Web、API、供应链、部署五层,以 JSON 规则匹配提示注入、越狱、提示泄露、SQL 注入、XSS、CSRF、SSRF、API 密钥泄露、危险依赖与环境泄露等问题,返回是否安全、威胁列表、置信度和已扫描层级的结构化结果,并可通过 Hook 接入宿主网关。

silvertime
silvertime
热度 54.64
最近更新 2026-05-11 17:29:37
分类:安全依赖:读写文件应用场景:工作流 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add clawsafe
Metadata
name
clawSafe
version
1.0.0
description
Multi-layer security detector for AI agents. Blocks prompt injection, jailbreak, XSS, SQL injection, API key leaks, supply chain attacks, and deployment vulnerabilities.

clawSafe 🛡️

Enterprise-grade security detector for AI agents

Overview

clawSafe is a comprehensive security middleware that intercepts and blocks malicious input before it reaches your AI agent. Built with defense-in-depth philosophy.

Features

5-Layer Protection

Layer Threats Rules
LLM Layer Prompt Injection, Jailbreak, Prompt Leaking, Encoding Attacks 44
Web Layer SQL Injection, XSS, CSRF, SSRF 32
API Layer Key Exposure, Rate Limiting, Auth Bypass 19
Supply Chain Dangerous Dependencies, Remote Code Execution 8
Deploy Layer Environment Leaks, Debug Info Disclosure 10

Total: 113+ detection rules

Quick Start

Installation

# Via ClawHub
clawhub install clawSafe

# Manual
cp -r clawSafe ~/.openclaw/workspace/skills/

Basic Usage

const Detector = require('./detector');

const detector = new Detector();

// Scan user input
const result = detector.scan('Ignore previous instructions');

if (!result.safe) {
  console.log('Blocked:', result.threats);
  // Handle blocked input
}

Return Format

{
  safe: boolean;           // true if input is safe
  threats: Array<{
    type: string;         // threat category
    pattern: string;      // matched pattern ID
    severity: string;     // critical|high|medium|low
    confidence: number;   // 0-1
    description: string;
  }>;
  confidence: number;      // overall confidence 0-1
  layersScanned: string[]; // layers that were checked
}

Configuration

config.json

{
  "enabled": true,
  "logLevel": "info",
  "layers": {
    "llm": {
      "enabled": true,
      "rules": ["injection", "jailbreak", "prompt_leak", "encoding"]
    },
    "web": {
      "enabled": true,
      "rules": ["sql_injection", "xss", "csrf", "ssrf"]
    },
    "api": {
      "enabled": true,
      "rules": ["key_exposure", "rate_limit", "auth"]
    },
    "supply_chain": {
      "enabled": true,
      "rules": ["deps"]
    },
    "deploy": {
      "enabled": true,
      "rules": ["env_leak", "debug_info"]
    }
  },
  "detection": {
    "confidenceThreshold": 0.6,
    "minMatchCount": 1
  },
  "actions": {
    "onThreatDetected": "block",
    "onUncertain": "log"
  }
}

whitelist.json

{
  "keywords": ["trusted-keyword"],
  "users": ["user-id-1"],
  "sessions": ["session-id-1"]
}

Detection Rules

LLM Layer

Prompt Injection Patterns:

  • ignore previous instructions
  • disregard your guidelines
  • forget all rules
  • act as if you have no restrictions

Jailbreak Patterns:

  • DAN mode
  • developer mode
  • roleplay as

Encoding Bypass:

  • Base64 encoded commands
  • Hex encoding
  • Unicode homoglyphs

Web Layer

  • SQL Injection: '; DROP TABLE users; --
  • XSS: <script>alert(1)</script>
  • CSRF: Token manipulation
  • SSRF: Internal URL access

API Layer

  • API Key exposure: sk-1234567890
  • JWT tokens
  • Bearer tokens
  • Basic auth credentials

Testing

# Run all tests
node test.js

# Interactive mode
node test-interactive.js

# Demo
node detector.js

Integration

OpenClaw Hook

To integrate with OpenClaw, add to your gateway config:

// gateway.config.js
module.exports = {
  middleware: ['clawSafe'],
  clawSafe: {
    enabled: true,
    strictMode: false
  }
};

Performance

  • Latency: < 5ms per scan
  • Memory: ~50KB
  • Rules: 113+ (JSON-based, lazy load)

License

MIT

Changelog

v1.0.0

  • Initial release
  • 5-layer protection
  • 113+ detection rules