What problem does it solve?
The skill-review Skill helps authors and maintainers detect low-signal, misleading, or fragile content in SKILL.md files so agents use skill libraries effectively without wasting context or making incorrect assumptions.
Core Features & Use Cases
- Section-by-section auditing: Labels each section as signal, noise, or ask user with concrete reasons tied to redundancy, domain knowledge, or actionable value.
- Quality criteria and guardrails: Evaluates description quality, degrees of freedom, progressive disclosure, practical effectiveness, and staleness with a strict rubric.
- Use Case: Run this Skill to audit a collection of SKILL.md files before publishing a shared skills registry or when triaging noisy agent behaviors caused by poor skill descriptions.
Quick Start
Audit the provided SKILL.md and return a section-by-section verdict, strengths, and specific edit suggestions using the skill-review rubric.