What are query tools in the context of this skill?

Query tools are specialized scripts (such as .ps1 or .py files) located in a tools directory that extract specific, structured information from a codebase to avoid loading massive files into the AI context.

Does 'Unused by CLAUDE.md' mean a tool should be deleted?

No. Niche tools are often intentionally omitted from the main CLAUDE.md to save context, but they are still valuable if referenced by specific skills or used for deep-dive audits.

How does this skill help save context window space?

By ensuring query tools work correctly and identifying where new ones are needed, the skill allows Claude to get specific answers from tool outputs (a few lines) instead of reading entire 300+ line files.

What happens during the accuracy audit step?

The skill runs tools against known-good samples to check if the output still parses the current file formats correctly, flagging tools that produce 'silently wrong' data due to stale regex or renamed files.

Tool Coverage Audit

Name: Tool Coverage Audit
Author: cwilliams5

bycwilliams5

•

开发者工具

Audits and maintains repository query tools to ensure data accuracy, identify functional gaps, and retire obsolete scripts.

The Review Tool Coverage skill is designed to optimize developer productivity by systematically auditing a repository's specialized query tools. It evaluates the fitness of scripts used to extract structured data—such as function visibilities, configuration registries, and IPC handlers—ensuring they remain accurate after codebase refactors. By identifying gaps where manual searching could be replaced by automation and retiring 'dead weight' tools, this skill helps maintain a lean, high-performance development environment while significantly reducing per-session context window usage.

主要功能

01Identifies automation gaps for high-frequency manual search patterns

02Generates structured audit reports with actionable fix recommendations

031 GitHub stars

04Tracks and recommends retirement for obsolete tools linked to removed subsystems

05Validates tool parsing accuracy against current file formats and regex patterns

06Optimizes skill cross-references to leverage niche tools for specific tasks

使用场景

01Optimizing AI agent performance by replacing large file reads with structured tool-based queries

02Maintaining a clean inventory of developer utilities to prevent technical debt and stale documentation

03Verifying that specialized PowerShell and Python query tools still function after a major architectural refactor

主要功能

01Identifies automation gaps for high-frequency manual search patterns

02Generates structured audit reports with actionable fix recommendations

031 GitHub stars

04Tracks and recommends retirement for obsolete tools linked to removed subsystems

05Validates tool parsing accuracy against current file formats and regex patterns

06Optimizes skill cross-references to leverage niche tools for specific tasks

使用场景

01Optimizing AI agent performance by replacing large file reads with structured tool-based queries

02Maintaining a clean inventory of developer utilities to prevent technical debt and stale documentation

03Verifying that specialized PowerShell and Python query tools still function after a major architectural refactor