Skip to content
CyberLens AI

Comparison

Security scanners for OpenClaw and CLAW skill repositories

Published by CyberLens AI. Last updated .

Agent skills can automate powerful actions. Review manifests, scripts, permissions, dependencies, and source before trusting them.

What to review

Skill review should focus on what the package can access and what code it can execute.

  • Manifest permissions
  • Scripts and automation behavior
  • Secrets and environment access
  • Vulnerable dependencies
  • Unexpected network behavior

Capability comparison matrix

OpenClaw and CLAW skill security scanner capability comparison
ToolFree / no costNo signupManifest reviewSecret scanningDep. CVEsSAST / code patternsSkill trust reportNotes
CyberLens AI✓✓✓✓✓✓✓Purpose-built for OpenClaw, Kimi CLAW, and agentic workflow trust decisions
Manual code review✓✓✓–––✓Time-intensive; requires developer expertise
Semgrep✓✓–✓–✓–OSS CLI; no skill-specific trust scoring
Trivy✓✓–✓✓––Container/repo focused; no manifest analysis
GitHub CodeQL / GHAS–––✓✓✓–Free for public repos only; no skill-specific output
npm / pkg provenance✓✓––✓––Package provenance verification only

Questions and answers

Does a scanner prove an agent skill is safe?

No. Scanner output is a trust signal, not a certification. Skills touching customer data, production systems, or external accounts still need human review and guardrails.

Security references

CyberLens AI guidance is informed by established security standards and public vulnerability intelligence.