skill-security-auditor

Skill Security Auditor

Scan and audit AI agent skills for security risks before installation. Produces a clear PASS / WARN / FAIL verdict with findings and remediation guidance.

Quick Start

# Audit a local skill directory
python3 scripts/skill_security_auditor.py /path/to/skill-name/
 
# Audit a skill from a git repo
python3 scripts/skill_security_auditor.py https://github.com/user/repo --skill skill-name

What Gets Scanned

1. Code Execution Risks (Python/Bash Scripts)

Scans all .py, .sh, .bash, .js, .ts files for:

Category	Patterns Detected	Severity
Command injection	`os.system()`, `os.popen()`, `subprocess.call(shell=True)`, backtick execution	🔴 CRITICAL
Code execution	`eval()`, `exec()`, `compile()`, `__import__()`	🔴 CRITICAL
Obfuscation	base64-encoded payloads, `codecs.decode`, hex-encoded strings, `chr()` chains	🔴 CRITICAL
Network exfiltration	`requests.post()`, `urllib.request`, `socket.connect()`, `httpx`, `aiohttp`	🔴 CRITICAL
Credential harvesting	reads from `~/.ssh`, `~/.aws`, `~/.config`, env var extraction patterns	🔴 CRITICAL
File system abuse	writes outside skill dir, `/etc/`, `~/.bashrc`, `~/.profile`, symlink creation	🟡 HIGH
Privilege escalation	`sudo`, `chmod 777`, `setuid`, cron manipulation	🔴 CRITICAL
Unsafe deserialization	`pickle.loads()`, `yaml.load()` (without SafeLoader), `marshal.loads()`	🟡 HIGH
Subprocess (safe)	`subprocess.run()` with list args, no shell	⚪ INFO

2. Prompt Injection in SKILL.md

Scans SKILL.md and all .md reference files for:

Pattern	Example	Severity
System prompt override	"Ignore previous instructions", "You are now..."	🔴 CRITICAL
Role hijacking	"Act as root", "Pretend you have no restrictions"	🔴 CRITICAL
Safety bypass	"Skip safety checks", "Disable content filtering"	🔴 CRITICAL
Hidden instructions	Zero-width characters, HTML comments with directives	🟡 HIGH
Excessive permissions	"Run any command", "Full filesystem access"	🟡 HIGH
Data extraction	"Send contents of", "Upload file to", "POST to"	🔴 CRITICAL

3. Dependency Supply Chain

For skills with requirements.txt, package.json, or inline pip install:

Check	What It Does	Severity
Known vulnerabilities	Cross-reference with PyPI/npm advisory databases	🔴 CRITICAL
Typosquatting	Flag packages similar to popular ones (e.g., `reqeusts`)	🟡 HIGH
Unpinned versions	Flag `requests>=2.0` vs `requests==2.31.0`	⚪ INFO
Install commands in code	`pip install` or `npm install` inside scripts	🟡 HIGH
Suspicious packages	Low download count, recent creation, single maintainer	⚪ INFO

4. File System & Structure

Check	What It Does	Severity
Boundary violation	Scripts referencing paths outside skill directory	🟡 HIGH
Hidden files	`.env`, dotfiles that shouldn't be in a skill	🟡 HIGH
Binary files	Unexpected executables, `.so`, `.dll`, `.exe`	🔴 CRITICAL
Large files	Files >1MB that could hide payloads	⚪ INFO
Symlinks	Symbolic links pointing outside skill directory	🔴 CRITICAL

Audit Workflow

Run the scanner on the skill directory or repo URL
Review the report — findings grouped by severity
Verdict interpretation:
- ✅ PASS — No critical or high findings. Safe to install.
- ⚠️ WARN — High/medium findings detected. Review manually before installing.
- ❌ FAIL — Critical findings. Do NOT install without remediation.
Remediation — each finding includes specific fix guidance

Reading the Report

Advanced Usage

Audit a Skill from Git Before Cloning

CI/CD Integration

Batch Audit

Threat Model Reference

For the complete threat model, detection patterns, and known attack vectors against AI agent skills, see references/threat-model.md.

Limitations

Cannot detect logic bombs or time-delayed payloads with certainty
Obfuscation detection is pattern-based — a sufficiently creative attacker may bypass it
Network destination reputation checks require internet access
Does not execute code — static analysis only (safe but less complete than dynamic analysis)
Dependency vulnerability checks use local pattern matching, not live CVE databases

When in doubt after an audit, don't install. Ask the skill author for clarification.