clawguard

Scan AI agent skills for security threats — static analysis, LLM semantic analysis, prompt injection, attack chains, and Docker sandbox with honeypot traps.

5 stars

Best use case

clawguard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Scan AI agent skills for security threats — static analysis, LLM semantic analysis, prompt injection, attack chains, and Docker sandbox with honeypot traps.

Teams using clawguard should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/skill/SKILL.md --create-dirs "https://raw.githubusercontent.com/mikecavallo/clawguard/main/skill/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/skill/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How clawguard Compares

Feature / AgentclawguardStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Scan AI agent skills for security threats — static analysis, LLM semantic analysis, prompt injection, attack chains, and Docker sandbox with honeypot traps.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# ClawGuard - Security Scanner for AI Agent Skills

## Quick Start

```bash
# Scan a skill
clawguard scan ./my-skill

# Deep scan (includes semantic LLM analysis)
clawguard scan --deep ./my-skill

# Scan with Docker sandbox + honeypot traps
clawguard sandbox ./my-skill

# Scan all skills in a directory
clawguard scan ./skills/*

# Visualize attack intent graph
clawguard graph ./my-skill

# Interactive config setup
clawguard config
```

## Scan Modes

- **Static Analysis**: 60+ patterns for credential theft, code injection, persistence, obfuscation
- **Semantic Analysis** (`--deep`): LLM-powered intent understanding via Claude/OpenAI/Ollama
- **Sandbox** (`sandbox`): Docker container with honeypot credentials to catch runtime attacks
- **Attack Chains**: Multi-skill combination analysis for coordinated threats
- **Credential Access**: Detects access to ~/.ssh, ~/.aws, API keys, env vars

## Output Formats

```bash
clawguard scan ./skill --format json    # JSON output
clawguard scan ./skill --format text    # Human-readable (default)
```

## Config

Config lives at `~/.config/clawguard/config.json`. Run `clawguard config` for interactive setup.

Set your LLM provider for semantic analysis:
- Anthropic (Claude) — recommended
- OpenAI
- Ollama (local, free)

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