Skill Guard

Scan OpenClaw skills for malware, prompt injection, reverse shells, wallet theft, supply chain attacks, and data exfiltration. Protect your agent from the 386+ malicious ClawHub skills (ClawHavoc). 9-category threat detection, tamper monitoring, JSON reports, zero dependencies.

Skill Threat Scanner 🛡️

Protect Your OpenClaw Agent From Malicious Skills

Advanced security scanner for OpenClaw skills. Detects malicious code, prompt injection, supply chain attacks, data exfiltration, credential theft, and more — with smart domain analysis, tamper detection, and actionable recommendations.

Commands

scan [dir]

Audit ALL installed skills in ~/clawd/skills/ (or a custom directory).

python3 ~/clawd/skills/skill-guard/scripts/skillguard.py scan
python3 ~/clawd/skills/skill-guard/scripts/skillguard.py scan --json
python3 ~/clawd/skills/skill-guard/scripts/skillguard.py scan --report report.md
python3 ~/clawd/skills/skill-guard/scripts/skillguard.py scan --baseline  # force re-baseline

check <path>

Scan a single skill directory, or a directory containing multiple skills.

python3 ~/clawd/skills/skill-guard/scripts/skillguard.py check ~/clawd/skills/some-skill
python3 ~/clawd/skills/skill-guard/scripts/skillguard.py check ~/clawd/skills/skill-guard/tests/

watch [dir]

One-liner summary suitable for cron alerting.

python3 ~/clawd/skills/skill-guard/scripts/skillguard.py watch

Output formats:

• SkillGuard: 24 scanned, 20 clean, 4 suspicious, 0 malicious
• ⚠️ SkillGuard ALERT: <skill> files changed since baseline!
• 🔴 SkillGuard ALERT: <skill> scored MALICIOUS!

check-remote <slug> (Future)

Will download a skill from ClawHub, scan it in a temp directory, and clean up. Requires ClawHub auth (not yet available). The temp-dir scanning infrastructure is ready.

Options

Flag	Description
--json	Output machine-readable JSON
--report <path>	Write a markdown report file
--baseline	Force re-baseline of all file hashes

What It Detects

Code Analysis

• eval/exec calls, shell injection, outbound HTTP requests
• Base64-encoded payloads (auto-decodes and inspects content)
• Hex-encoded suspicious strings
• Minified/obfuscated JavaScript
• Time-bomb patterns (date-conditional malicious code)

Smart Domain Analysis

• Maintains allowlist of 80+ known legitimate API domains
• HTTP requests to known APIs = 0 risk points
• HTTP requests to unknown domains = 10 risk points (WARNING)
• Context-aware: "crypto-price" calling coingecko.com = expected, lower score

Sensitive File Access

• SSH keys, AWS credentials, GPG keyrings
• Browser credential stores (Chrome, Firefox, Safari)
• Crypto wallets (MetaMask, Phantom, Solana, Ethereum)
• Keychain/keyring access
• Environment variable harvesting

Prompt Injection

• Hidden HTML comments with override instructions
• Exfiltration instructions in documentation
• Social engineering phrases ("this is trusted", "pre-approved", etc.)
• Modification instructions targeting other skills/system files

Supply Chain

• Typosquatting detection (Levenshtein distance on package names)
• Suspicious npm post-install scripts
• Known-malicious package detection

Enhanced Detection (v2)

• File permissions: flags executable bit on .py, .js, .md files
• Binary detection: identifies ELF, Mach-O, PE binaries in skill dirs
• Hardcoded secrets: AWS keys (AKIA...), GitHub tokens (ghp_...), OpenAI keys (sk-...), Stripe keys, private key files
• Write-outside-skill: detects code writing to paths outside the skill directory
• Unicode homoglyphs: catches lookalike characters in filenames (Cyrillic а vs Latin a)
• Excessive file count: flags skills with 50+ files
• Large files: flags files over 500KB

Network Threats

• Hardcoded IP addresses, reverse shells, DNS exfiltration
• WebSocket connections to external hosts

Persistence

• Crontab modifications, launchd/systemd service creation
• Shell RC file modifications (.bashrc, .zshrc)

Tamper Detection (v2)

• Computes SHA-256 hash of every file on first scan
• Stores baselines in baselines.json
• On re-scan, flags changed, added, or removed files
• Checks ClawHub origin version from .clawhub/origin.json

Scoring (v2)

Pattern	Points
HTTP to known API	0
HTTP to unknown domain	10
curl in documentation	0
subprocess call	2
subprocess + shell=True	25
Sensitive file access	10-25
Prompt injection phrase	25
Reverse shell	auto MALICIOUS
Sensitive access + outbound	auto MALICIOUS
Typosquatted package	15
JS in SVG	25

Risk Levels

• 🟢 CLEAN: Score 0-15
• 🟡 SUSPICIOUS: Score 16-40
• 🔴 MALICIOUS: Score 41+ or dangerous combo detected

Recommendations Engine

Every finding includes a one-line recommendation explaining the risk and suggested action.

Test Suite

The tests/ directory contains 7 fake malicious skills for validation:

Test Skill	Attack Vector
fake-weather	SSH key theft + POST to evil.com
fake-formatter	Base64-encoded reverse shell
fake-helper	Prompt injection + social engineering
fake-crypto	Wallet theft + C2 communication
fake-typosquat	Typosquatted package names
fake-timebomb	Date-activated SSH key exfiltration
fake-svgmalware	JavaScript embedded in SVG

All 7 test skills score as 🔴 MALICIOUS.

Requirements

Python 3 stdlib only. No external dependencies. Single file: scripts/skillguard.py.