skills$openclaw/skill-scanner
hugosbl939

by hugosbl

skill-scanner – OpenClaw Skill

skill-scanner is an OpenClaw Skills integration for coding workflows. Scan OpenBot/Clawdbot skills for security vulnerabilities, malicious code, and suspicious patterns before installing them. Use when a user wants to audit a skill, check if a ClawHub skill is safe, scan for credential exfiltration, detect prompt injection, or review skill security. Triggers on security audit, skill safety check, malware scan, or trust verification.

939 stars7.1k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

nameskill-scanner
descriptionScan OpenBot/Clawdbot skills for security vulnerabilities, malicious code, and suspicious patterns before installing them. Use when a user wants to audit a skill, check if a ClawHub skill is safe, scan for credential exfiltration, detect prompt injection, or review skill security. Triggers on security audit, skill safety check, malware scan, or trust verification. OpenClaw Skills integration.
ownerhugosbl
repositoryhugosbl/ai-skill-scanner
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @hugosbl/ai-skill-scanner
last updatedFeb 7, 2026

Maintainer

hugosbl

hugosbl

Maintains skill-scanner in the OpenClaw Skills directory.

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File Explorer
7 files
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references
rules.md
2.8 KB
scripts
advanced_checks.py
51.5 KB
scan.py
15.8 KB
_meta.json
285 B
SKILL.md
2.0 KB
SKILL.md

name: skill-scanner description: Scan OpenBot/Clawdbot skills for security vulnerabilities, malicious code, and suspicious patterns before installing them. Use when a user wants to audit a skill, check if a ClawHub skill is safe, scan for credential exfiltration, detect prompt injection, or review skill security. Triggers on security audit, skill safety check, malware scan, or trust verification.

Skill Security Scanner

Scan skills for malicious patterns before installation. Detects credential exfiltration, suspicious network calls, obfuscated code, prompt injection, and other red flags.

Quick Start

# Scan a local skill folder
python3 scripts/scan.py /path/to/skill

# Verbose output (show matched lines)
python3 scripts/scan.py /path/to/skill --verbose

# JSON output (for automation)
python3 scripts/scan.py /path/to/skill --json

Workflow: Scan Before Install

  1. Download or locate the skill folder
  2. Run python3 scripts/scan.py <skill-path> --verbose
  3. Review findings by severity (CRITICAL/HIGH = do not install)
  4. Report results to user with recommendation

Score Interpretation

ScoreMeaningRecommendation
CLEANNo issues foundSafe to install
INFOMinor notes onlySafe to install
REVIEWMedium-severity findingsReview manually before installing
SUSPICIOUSHigh-severity findingsDo NOT install without thorough manual review
DANGEROUSCritical findings detectedDo NOT install — likely malicious

Exit Codes

  • 0 = CLEAN/INFO
  • 1 = REVIEW
  • 2 = SUSPICIOUS
  • 3 = DANGEROUS

Rules Reference

See references/rules.md for full list of detection rules, severity levels, and whitelisted domains.

Limitations

  • Pattern-based detection — cannot catch all obfuscation techniques
  • No runtime analysis — only static scanning
  • False positives possible for legitimate tools that access network/files
  • Always combine with manual review for HIGH/MEDIUM findings
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install skill-scanner?

Run openclaw add @hugosbl/ai-skill-scanner in your terminal. This installs skill-scanner into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/hugosbl/ai-skill-scanner. Review commits and README documentation before installing.