skill-reviewerReview and audit agent skills (SKILL.md files) for quality, correctness, and effectiveness. Use when evaluating a skill before publishing, reviewing someone else's skill, scoring skill quality, identifying defects in skill content, or improving an existing skill.
Install via ClawdBot CLI:
clawdbot install gitgoodordietrying/skill-reviewerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A developer team uses the Skill Reviewer to audit new skills before publishing them to a public registry, ensuring they meet structural, content, and usability standards. This prevents low-quality or broken skills from being distributed, maintaining trust and reliability in the ecosystem.
An organization employs the Skill Reviewer to evaluate internally developed agent skills for correctness and effectiveness before deployment. This helps identify defects, improve documentation, and ensure skills align with company standards, reducing errors in automated workflows.
A user downloads multiple skills from a registry and uses the Skill Reviewer to compare them based on scoring metrics like actionability and example quality. This aids in selecting the best skill for a specific task, such as database management or build automation.
A training provider uses the Skill Reviewer to assess skill documentation for educational courses on AI agents, ensuring clarity, completeness, and practical examples. This enhances learning outcomes by providing high-quality, actionable instructional materials.
A community maintainer applies the Skill Reviewer to evaluate skill contributions from external developers in an open-source project. It streamlines the review process by automating checks for structure, metadata, and content quality, facilitating faster integration.
Offer a free basic skill registry with limited features, and charge for premium access to advanced review tools, analytics, and priority support. Revenue comes from subscription fees for teams and enterprises seeking enhanced quality control.
Provide paid consulting services to organizations for auditing their AI agent skill portfolios using the Skill Reviewer. Revenue is generated through project-based fees or retainer contracts for ongoing quality assessments and improvements.
License the Skill Reviewer technology to integrate with CI/CD platforms or IDE tools, enabling automated skill checks during development. Revenue comes from licensing fees per user or platform, targeting developers and DevOps teams.
💬 Integration Tip
Integrate the Skill Reviewer into CI/CD pipelines to automatically audit skills on commit, ensuring quality standards are met before deployment or publication.
Scored Apr 19, 2026
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