Review skill PRs and report validation issues with file context.
npx skills add https://github.com/galligan/skillstash --skill skillstash-review
Please help me install this Agent Skill. Skill: skillstash-review Source: https://github.com/galligan/skillstash/tree/main/.agents/skills/skillstash-review Command: npx skills add https://github.com/galligan/skillstash --skill skillstash-review
Review skill PRs and report validation issues to keep the skill library healthy.
Run this skill when a skill PR is opened or when validation is requested.
High-intent search queries and answers about installing and using this skill.
Skillstash-review validates PR structure, frontmatter fields, naming conventions, and file size for skills/** updates. It identifies blocking issues with file and line context, then suggests improvements for non-blocking problems to maintain library quality.
Automated validation checks structure, frontmatter completeness and format, naming consistency, and file size limits. The skill reports which checks pass and fail, surfacing blockers that prevent merge and optional improvements for better skill quality.
Yes. Skillstash-review runs on explicit validation requests in addition to PR triggers. Submit a validation request to identify structure, frontmatter, naming, and size issues without opening a pull request first.
Blocking issues are reported with specific file and line numbers so you can locate and fix problems before merge. Non-blocking suggestions are also provided to help improve the skill's quality and consistency.
Run validation when creating or updating skills in the skills/** directory, or when you want to check a skill against library standards. Early validation catches structure and naming problems before submission, saving review cycles.
GainInsightDevCreate or correct YAML frontmatter metadata in documentation files.
pradyumnasagarGuide authors through creating and validating ORS SKILL.md files.
gmolveauFormat, lint, and validate Markdown files with markdownlint-cli2.
aisa-groupRun style checks on Python code and return structured JSON feedback.
