Identify orphans, stubs, and stale entities in Memstead knowledge graphs.
npx skills add https://github.com/memstead/memstead --skill tidy-memstead
Please help me install this Agent Skill. Skill: tidy Source: https://github.com/memstead/memstead/tree/main/plugins/claude-code/skills/tidy Command: npx skills add https://github.com/memstead/memstead --skill tidy-memstead
This skill addresses structural decay in Memstead knowledge graphs, such as orphaned entities, broken links, and stale data, which can lead to fragmented or unreliable AI memory.
Ask the tidy skill to assess the current mem and propose a plan to fix any structural issues found.
High-intent search queries and answers about installing and using this skill.
To find orphaned entities and broken links in a knowledge graph, run a structural health analysis to automatically identify orphans, stubs, and stale entries. This detects fragmented connections, ensuring your graph maintains reliable structural integrity for AI memory.
The best way to clean up stale data after a documentation refactor is to perform structural maintenance on the knowledge graph. This identifies outdated entries and missing fields, proposing user-approved corrective mutations to ensure all specs remain correctly linked and up-to-date.
Safe remediation for graph maintenance via MCP tools works by proposing concrete fixes for structural issues without modifying external source files. It requires explicit user approval for all write operations, applying corrective mutations only after you review the proposed plan.
No, the tidy skill does not require automatic write access; it operates with read-only access to analyze the memstead graph structure. It only proposes concrete, user-approved fixes for structural issues, ensuring you maintain control over all corrective mutations.
You should use an automated knowledge graph hygiene tool instead of manual cleanup when addressing structural decay like orphaned entities and broken links at scale. Automated assessment reliably identifies orphans, stubs, and stale data faster, preventing fragmented or unreliable AI memory.
tuan3wAnalyze Obsidian vault wikilink structure to detect orphans and missing notes.
lordmacuClassify, deduplicate, and update local memory layers for knowledge entries.
MLMarioAudits knowledge base wiki for orphan pages, broken links, stale content, and schema violations.
AGM1968Audit Weave graphs for integrity issues and generate remediation reports.
