plugin-audit

Audit Vercel plugin skill injection by analyzing conversation logs.

246|42|Updated Mar 4, 2026

Search Tags:#testing #logs #audit #plugin #vercel #skill injection

Ready to run

npx skills add https://github.com/vercel-labs/vercel-plugin --skill plugin-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: plugin-audit
Source: https://github.com/vercel-labs/vercel-plugin/tree/main/.claude/skills/plugin-audit
Command: npx skills add https://github.com/vercel-labs/vercel-plugin --skill plugin-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers ensure that the Vercel plugin correctly identifies and injects relevant skills into AI coding sessions by auditing its performance on real-world project logs.

Core Features & Use Cases

Log Analysis: Extracts tool calls from conversation logs.
Hook Matching: Tests skill matching logic against extracted tool calls.
Gap Identification: Pinpoints areas where skill injection might be missing.
Cache Validation: Checks for staleness in the plugin's cache.
Use Case: A developer suspects the Vercel plugin isn't triggering for a specific type of Vercel configuration file. They use this skill to analyze past conversations, confirm the gap, and identify the necessary pattern adjustments.

Quick Start

Use the plugin-audit skill to analyze conversation logs from the project 'my-vercel-app'.

Frequently Asked Questions about plugin-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit Vercel plugin skill injection performance using conversation logs?▼

Auditing Vercel plugin skill injection involves extracting tool calls from real-world conversation logs to test hook matching logic and identify pattern coverage gaps. This confirms whether relevant skills are correctly injected into AI coding sessions.

Why does my Vercel plugin fail to trigger for specific configuration files?▼

Your Vercel plugin fails to trigger due to pattern coverage gaps in hook matching logic. Auditing real-world conversation logs pinpoints these missing pattern matches, confirming the gap and identifying necessary configuration adjustments for reliable skill injection.

How do I check for staleness in my Vercel plugin cache?▼

You check for Vercel plugin cache staleness by running an audit on your conversation logs. The cache validation process analyzes extracted tool calls to determine if the plugin relies on outdated patterns during AI development workflows.

Can I test hook matching logic against extracted tool calls from my project?▼

Yes, you can test hook matching logic against extracted tool calls from your project. The audit process extracts tool calls from conversation logs and evaluates the Vercel plugin's skill matching accuracy to uncover injection coverage gaps.

What is the best way to identify pattern coverage gaps in Vercel plugin injections?▼

The best way to identify pattern coverage gaps in Vercel plugin injections is to audit real-world conversation logs. This analysis extracts tool calls and tests hook matching logic to pinpoint exactly where skill injections are missing.