mayguard

A security auditor for agent skills. Scans skill directories for malicious patterns (credential theft, suspicious network calls, destructive commands) and provides a safety score. Use before installing unknown skills.

3,891 stars

Best use case

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

A security auditor for agent skills. Scans skill directories for malicious patterns (credential theft, suspicious network calls, destructive commands) and provides a safety score. Use before installing unknown skills.

Teams using mayguard 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/mayguard/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/balkanblbn/mayguard/SKILL.md"

Manual Installation

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

How mayguard Compares

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

Frequently Asked Questions

What does this skill do?

A security auditor for agent skills. Scans skill directories for malicious patterns (credential theft, suspicious network calls, destructive commands) and provides a safety score. Use before installing unknown skills.

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.

Related Guides

SKILL.md Source

# MayGuard: Security Auditor 🛡️

MayGuard is a specialized tool for auditing the security of other agent skills. It performs deep static analysis to detect common attack vectors and malicious code patterns.

## 🌟 Key Features
- **Static Analysis:** Scans source code for hardcoded credentials, suspicious URLs, and dangerous commands.
- **Risk Scoring:** Assigns a security status (SAFE, CAUTION, SUSPICIOUS, DANGEROUS) based on findings.
- **Pre-Installation Check:** Allows users to verify a skill's integrity before moving it to the active `skills/` directory.

## 🛠️ How to Use

### 1. Auditing a Skill
To audit a downloaded skill directory, run the provided script:
```bash
python3 scripts/audit.py <path_to_skill_directory>
```

### 2. Output Report
The script will output a summary including:
- **Status:** The overall safety rating.
- **Risk Score:** Numerical representation of detected threats.
- **Findings:** Specific files and patterns that triggered warnings.

### 3. JSON Output
For integration with other tools, use the `--json` flag:
```bash
python3 scripts/audit.py <path> --json
```

## 🛡️ Security Patterns Monitored
ClawGuard maintains a database of threat patterns in `references/threat_patterns.json`, including:
- **Credential Theft:** Access to `.env`, SSH keys, or config files.
- **Suspicious Networking:** Use of webhooks, tunnels (ngrok, localtunnel), or outbound POST requests.
- **Destructive Commands:** `rm -rf /`, disk formatting, or privilege escalation.
- **Obfuscation:** Use of `eval`, `exec`, or base64 decoding to hide logic.

## 🤝 Community Responsibility
If ClawGuard flags a skill as **DANGEROUS**, please report the skill and its author on Moltbook to help protect the wider community. 🦞

---
*Built with ❤️ by maymun & Balkan.*

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