Audit crystallized index and skill markdowns for health and consistency.
npx skills add https://github.com/mengsi16/brain-base --skill crystallize-lint
Please help me install this Agent Skill. Skill: crystallize-lint Source: https://github.com/mengsi16/brain-base/tree/main/skills/crystallize-lint Command: npx skills add https://github.com/mengsi16/brain-base --skill crystallize-lint
The Crystallize Lint skill automatically audits the self-evolution crystallized layer to remove rejected or stale skills, ensure index.json consistency, and detect orphan or corrupted metadata, safeguarding long-term knowledge integrity.
Run a lint pass to validate and repair the crystallized skill store.
High-intent search queries and answers about installing and using this skill.
To check index.json consistency, run a lint pass that validates index entries against existing .md files, detecting mismatches, orphaned content, and corrupted frontmatter for manual remediation.
The best way to find stale or rejected skills is to audit the crystallized self-evolution layer, which scans the index to identify and clean up outdated or rejected entries automatically.
You generate a health report by running a lint pass that audits your skill markdowns, marks corrupted frontmatter, and lists orphaned or missing resources for manual remediation.
Orphaned content and corrupted frontmatter occur when on-disk .md files and the index.json fall out of sync, which a lint pass detects by validating the index against existing files.
No, the skill health audit does not automatically delete orphaned skills; it generates a report and archives orphaned skills for human review and manual remediation.
HelloWorldSunginReport page counts, category breakdowns, and structural insights for Obsidian vaults.
NirajkashyapAudit Obsidian vaults for orphaned pages, broken wikilinks, and missing frontmatter.
gmelliMonitor .aget/evolution directory health and validate L-doc naming and index.json integrity.
cosmicdreamsScan wiki vaults for schema violations, orphans, and index mismatches.
