SkillGuard Scanner

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name: skillguard version: 1.1.0 description: Security scanner for OpenClaw/ClawHub skills. Detects malware, reverse shells, credential theft, prompt injection, memory poisoning, typosquatting, and suspicious prerequisites before installation. Use when installing new skills, auditing existing skills, checking a skill name for typosquatting, or scanning ClawHub skills for security risks.

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SkillGuard — Skill Security Scanner

Scan OpenClaw skills for security threats before they compromise your system.

Quick Start

Scan all installed skills

python3 {scripts}/scanner.py

Scan a single skill

python3 {scripts}/scanner.py --skill 

Check a skill name for typosquatting

python3 {scripts}/scanner.py --check-name 

Scan from ClawHub before installing

python3 {scripts}/scanner.py --fetch-clawhub 

What It Detects

Critical Threats

Reverse shells — nc -e, bash -i >& /dev/tcp, ncat, mkfifo

Code obfuscation — base64 -d | bash, eval(), exec() with encoded payloads

High Threats

Suspicious URLs — webhook.site, glot.io, ngrok.io, pastebin.com

Memory poisoning — Instructions to write to SOUL.md, MEMORY.md, AGENTS.md

Malicious prerequisites — Download instructions in docs (the ClawHavoc attack vector)

Medium Threats

Credential access — Patterns accessing .env, API keys, tokens, SSH keys

Data exfiltration — Outbound HTTP POST/PUT with sensitive data

Hardcoded IPs — Public IPs embedded in code

Typosquatting — Skill names similar to popular/known skills (Levenshtein ≤ 2)

Crypto wallet access — Seed phrases, private keys, wallet patterns

Low Threats

Shell execution — subprocess, os.system, child_process (common but worth noting)

Interpreting Results

Risk Levels

🔴 CRITICAL (≥50) — Do NOT install. Likely malicious.

🟠 HIGH (25-49) — Review manually before installing. Multiple suspicious patterns.

🟡 MEDIUM (10-24) — Some flags, likely false positives but worth checking.

🟢 LOW (1-9) — Minor flags, generally safe.

✅ CLEAN (0) — No issues detected.

False Positive Likelihood

Each finding includes a FP estimate (low/medium/high):

low — Likely a real threat

medium — Could be legitimate, review context

high — Probably benign (e.g., security tool referencing attack patterns, search tool using fetch)

Workflow: Before Installing a Skill

1. Run python3 {scripts}/scanner.py --fetch-clawhub (requires clawhub CLI) 2. Review the report — anything CRITICAL or HIGH with low FP = reject 3. If CLEAN or LOW only → safe to install 4. If MEDIUM → skim the flagged files manually

Output

Console summary with emoji risk levels

JSON report saved to {baseDir}/../data/scan_results.json (configurable via --json-out)

Context: Why This Matters

As of February 2026, 341 malicious skills were found on ClawHub (Koi Security / ClawHavoc campaign), distributing Atomic Stealer malware via fake prerequisites. OpenClaw has 512 known vulnerabilities (Kaspersky audit). There is no official skill vetting process. SkillGuard fills this gap.

See references/threat-landscape.md for detailed background.

Scan all installed skills

python3 {scripts}/scanner.py

Scan a single skill

python3 {scripts}/scanner.py --skill 

Check a skill name for typosquatting

python3 {scripts}/scanner.py --check-name 

Scan from ClawHub before installing

python3 {scripts}/scanner.py --fetch-clawhub