Audit repository skills using ASQM scoring and update agent.yaml files.
npx skills add https://github.com/nesnilnehc/ai-cortex --skill curate-skills
Please help me install this Agent Skill. Skill: curate-skills Source: https://github.com/nesnilnehc/ai-cortex/tree/main/skills/curate-skills Command: npx skills add https://github.com/nesnilnehc/ai-cortex --skill curate-skills
This skill provides a governance workflow to audit, score, tag, and normalize all skills across a repository, ensuring consistent quality and discoverability.
Run curate-skills to scan the repository's skills/, compute ASQM scores, and update agent.yaml and README.md accordingly.
High-intent search queries and answers about installing and using this skill.
ASQM scoring audits repository skills across four dimensions: agent_native, cognitive, composability, and stance. It reads agent.yaml or README/SKILL.md to derive objective scores and outputs per-skill agent.yaml updates and a repository-wide ASQM_AUDIT.md.
Run curate-skills to scan the skills/ directory, compute ASQM scores, classify lifecycle statuses, and automatically update agent.yaml and README.md files for consistent governance across all skills.
Yes, skill auditing with ASQM detects overlaps and maps market positioning between skills. It classifies lifecycle statuses as validated, experimental, or archive_candidate based on objective scoring thresholds.
Skill auditing requires a skills/ directory containing subdirectories with either agent.yaml or README/SKILL.md files. It reads these formats to derive scores, overlaps, and lifecycle statuses, then updates agent.yaml and generates standardized README.md.
ASQM-based skill auditing standardizes documentation by computing scores from existing files, generating per-skill agent.yaml updates, writing standardized README.md files, and producing a repository-level ASQM_AUDIT.md for governance.
Inconsistent documentation and lack of scoring across skills reduces discoverability. Skill auditing applies ASQM scoring, lifecycle classification, and overlap detection to normalize all skills and ensure consistent quality repository-wide.
DethonAnalyze code quality to generate architectural improvement plans.
gihwan-devAudit and refactor SKILL.md files for conciseness and source-of-truth adherence.
fmoda3Sync CLAUDE.md and README.md files across a repository.
Chang-Shih-YungAggregate type checker, linter, and test results into a 0-10 composite score.
