skill-vetter

To perform a security vetting protocol for AI agent skills, execute code review and permission scope evaluation to detect red flags and suspicious patterns. This protocol categorizes risk levels to ensure compliance with security protocols before any installation.

Skill security risk assessment is a vetting protocol that categorizes external AI agent skills into LOW, MEDIUM, HIGH, and EXTREME risk levels. It evaluates permission scope and suspicious patterns to ensure compliance before installation.

You need to run a code review and vetting protocol for all AI skill installations, especially when sourcing from external platforms like ClawdHub or GitHub. This prevents suspicious patterns or excessive permission scopes from compromising your AI agents.

Yes, this vetting protocol works with skills from GitHub, ClawdHub, and other external sources. It performs security checks and risk classification to ensure compliance with security protocols before you install external skills into your AI agents.

To classify the risk level of a skill from an external source, the vetting protocol categorizes it into LOW, MEDIUM, HIGH, or EXTREME risk. This classification is based on code review findings, permission scope evaluation, and detected red flags.