Audit and autonomously repair markdown wiki structure, links, tags, and contradictions.
npx skills add https://github.com/theafh/ai-modules --skill wiki-fix
Please help me install this Agent Skill. Skill: wiki_fix Source: https://github.com/theafh/ai-modules/tree/main/plugins/knowledge_management/skills/wiki_fix Command: npx skills add https://github.com/theafh/ai-modules --skill wiki-fix
Repairs a tangled knowledge wiki by finding and fixing issues across structure, content integrity, linking, tagging, and schema/scaffold drift.
wiki_auto_shaper agent and applies fixes when safe and unambiguous.Ask the AI to run wiki_fix on your repository to audit and autonomously repair every issue it can, then return the agent’s change report.
High-intent search queries and answers about installing and using this skill.
Automated wiki repair tools audit your markdown repository to detect and fix broken links, structural inconsistencies, and scaffold drift in a single run. They delegate discovery and remediation to an agent, returning a detailed change report.
Yes, you can supply a narrower scope qualifier to limit the wiki audit. The tool forwards your provided scope to the auditing agent, ensuring the health check and automated fixes target only the specified documentation section.
Scaffold drift occurs when wiki pages deviate from the required schema or structural template. Automated audit tools detect this drift during a health check and apply fixes to restore schema compliance across the affected markdown pages.
Cross-page consistency checks detect contradictions and broken relationships across the wiki. The audit agent autonomously resolves unambiguous conflicts during remediation, while flagging contested pages that require manual review instead of silently forcing changes.
Running an automated wiki audit is the best way to clean a tangled knowledge base safely. The agent finds issues across content integrity, linking, and tagging, applying unambiguous fixes automatically and flagging contested pages for human review.
Yes, the wiki audit and repair process operates without requiring external dependencies or components. It leverages an internal agent to handle discovery, semantic assessment, remediation, and verification entirely within your existing markdown repository environment.
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