llm is an AI agent skill, created by 0xterrybit and published at openclaw/skills. ClawSecure audited llm across 2 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 90/100 (Safe). The 3 findings concentrate in Social Engineering, Policy Violation and Permissions Manifest, including Skill name or description contains 'Anthropic', suggesting official... and Missing config.json - agent may not be properly configured. None were rated high or critical severity.
Is llm safe?
ClawSecure audited llm and assigned a security score of 90/100 (Safe), identifying 3 findings across Social Engineering and Policy Violation. Review the findings below before installing.
What did ClawSecure find in llm?
ClawSecure identified 3 findings in llm, concentrated in Social Engineering, Policy Violation and Permissions Manifest. The most severe include Skill name or description contains 'Anthropic', suggesting official... and Missing config.json - agent may not be properly configured.
How was llm audited?
ClawSecure ran llm through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 2 files from openclaw/skills.
What does a score of 90 mean?
ClawSecure assigned llm a security score of 90/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status; the 3 findings detected are lower-severity. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).
Audit Findings for llm
ClawSecure detected 3 security findings in llm, spanning Social Engineering, Policy Violation and Permissions Manifest.
- medium · Skill name or description contains 'Anthropic', suggesting official.... Social Engineering finding detected in
SKILL.md. - medium · Missing config.json - agent may not be properly configured. Permissions Manifest finding.
- info · Skill manifest does not include a 'license' field. Specifying a license.... Policy Violation finding detected in
SKILL.md.
Each finding is expandable in the interactive list below.
3-Layer Audit Protocol
Security Recommendations for llm
Resolve policy violations
Add a config.json permissions manifest
Pin dependencies to exact versions
1.2.3 instead of ^1.2.3) to keep unauthorized code out of your dependency tree. ClawSecure checks every dependency against known CVE databases.Related Security Research
OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards→Understanding Our 3-Layer Audit Protocol→How to Secure an MCP Server: The 2026 Guide→Related AI Agent Security Audits
Scanned on February 7, 2026. llm is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.