indexing-diagnostics

indexing-diagnostics is a Runtime diagnostics & profiling skill for AI agents, published by cardstack in the boxel repository on GitHub. Skillspace rates indexing-diagnostics F (52/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Flagged for review. Read the source before running it.

Investigate slow or failing indexing using the per-row diagnostics persisted split by visit — the index visit's breakdown on `boxel_index.diagnostics`, the prerender-html visit's render breakdown (launch/wait/render timings, per-format render timings) on `prerendered_html.diagnostics`, each mirrored onto its table's `error_doc.diagnostics` for error rows, joinable per row via url + the two request ids — plus the matching prerender-server / manager logs. Covers (1) a render inside indexing timed out — classify which part of the prerender pipeline stalled, (2) an incremental or full reindex was slow but didn't fail — attribute time across the invalidation fan-out and find the rows that cost the most, (3) enumerating cards with broken `linksTo` / `linksToMany` targets via `diagnostics.brokenLinks` (those cards index cleanly, so this is the only indexed signal), (4) verifying the module pre-warm phase populates the definition cache under a key the indexer / on-demand prerender reads…

Grade

F

Quality

52 / 100

Safety

Needs review

GitHub stars

23

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