Vet AI agent skills for unsafe patterns and produce risk classification reports.
npx skills add https://github.com/novolei/if2Ai --skill skill-vetter-novolei
Please help me install this Agent Skill. Skill: skill-vetter Source: https://github.com/novolei/if2Ai/tree/main/src-tauri/resources/bundled-skills/skill-vetter Command: npx skills add https://github.com/novolei/if2Ai --skill skill-vetter-novolei
This tool helps safely vet AI agent skills before installation from external sources like ClawdHub or GitHub, by checking risk flags, permission scopes, and suspicious patterns.
Run the vetting protocol on the new skill to generate a safety report before installation.
High-intent search queries and answers about installing and using this skill.
To vet AI agent skills for security risks, run a vetting protocol that performs source checks, code reviews, and permission scope evaluations to produce a formal risk classification report and installation verdict.
The best way to check external AI skills for unsafe permissions is through a formal permission scope evaluation that identifies suspicious patterns and flags risks of data exfiltration or unauthorized system modifications.
Yes, you can use this vetting protocol on skills downloaded from GitHub, ClawdHub, or other shared sources, applying source checks and code reviews to prevent unsafe installations across platforms.
A risk assessment report for agent skills includes a formal vetting verdict, risk classification levels, and safety guidance derived from evaluating the source, code, and permission scopes before installation.
You need to review code and permissions before integrating new AI agent skills to prevent threats like data exfiltration or unauthorized system modifications that could compromise your environment.
Automated vetting for shared agent skills relies on evaluating source, code, and scope to classify risks, but users should still manually review flagged safety guidance before finalizing installation decisions.
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