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By Terryc21
Audit Claude Code skills before publishing with structured reports that include file:line citations, severity-rated findings, and an optional second-opinion pass across multiple review lenses (safety, discoverability, architecture, etc.).
npx claudepluginhub terryc21/skill-reviewer --plugin skill-reviewerShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Local-only skill quality and security evaluator for Claude Code/OpenClaw. Scores six dimensions, runs local validators, and stores reports and snapshots under .skill-compass/.
Representation Synthesis workflow for auditing agent skills in Claude Code.
Validates Claude Code SKILL.md files against ~25 contract rules including structure, triggers, anti-patterns, and naming. Works with Claude Code, Claude Desktop/Web, and Cursor.
Slash-command skill that reviews any SKILL.md against best practices and outputs a structured pass/fail report
Self-evolving skill engine for Claude Code. Creates, scores, repairs, and hardens skills autonomously through recursive improvement cycles.
Create, test, measure, and iteratively improve Claude Code skills with category-aware design, gotchas-driven development, progressive disclosure coaching, and automated description optimization.
SwiftUI workflow audit — find dead ends, broken promises, and UX friction. Bundled with a phased plan generator.
Six-skill audit suite for iOS/Swift codebases: data models, UI paths, data round-trips, time bombs, visual quality, and capstone grading. As of v2.0 every finding is classified on a 3-axis framework (real bug / scatter / dead code) with mandatory coaching citations to patterns in the audited codebase.
Mine for hidden bugs that pattern-based auditors miss — logic errors, broken assumptions, state machine gaps, and semantic fragility
After you fix a bug, find and rate other instances of the same pattern in the codebase. Two modes: inferred from your recent fix (self-validates the constructed pattern against the pre-fix file before scanning) or user-described. Each match is read in context and classified individually as BUG / WATCH / OK / REVIEW with severity, fix effort, and blast-radius columns. Pattern matching after a real fix is dramatically more accurate than pattern matching from a theoretical catalog.
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