AI AGENT SKILLS

Skill Guard

一个面向 Security 场景的 Agent 技能。原始说明:Scan OpenClaw skills for malware, prompt injection, reverse shells, wallet theft, supply chain attacks, and data exfiltration. Protect your agent from the 38...

SKILL.md

SKILL.md


name: skill-threat-scanner
version: 2.0.0
description: "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."
author: benjaminarp
tags: [security, scanner, audit, safety, malware-detection, threat-scanner, openclaw-security, clawhub-security, skill-scanner, prompt-injection, supply-chain, antivirus]
metadata:
openclaw:
emoji: "🛡️"
keywords: ["security scan", "malicious skill", "malware detector", "skill audit", "threat detection", "ClawHavoc", "prompt injection scanner", "supply chain attack", "wallet theft protection", "openclaw antivirus", "clawhub safety"]


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.