spawn: DROP PyAutoMemory's arXiv-ref backfill workflow - #323
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PyAutoMemory gains .github/workflows/arxiv_refs.yml (the nightly backfill that gives ref-less reading-queue lines their arXiv id, so the knowledge board can offer an abstract page and a one-tap PDF instead of a title search). MEMORY_RULES has no catch-all, so a new Memory workflow is UNMATCHED until a human decides. DROP, same reasoning as knowledge_board.yml: the job is generic (no secrets, no sibling repos) but runs on a schedule and pushes to main, which breaks the fresh-repo invariant. scripts/arxiv_refs.py and scripts/backfill_arxiv_refs.py ship via the scripts/* KEEP, so an adopter with a populated reading queue re-adds the workflow deliberately. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PjWdVFPn2WDzcqpMXTMp7G
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August 26, 2026 20:07
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Why
PyAutoMemory gains
.github/workflows/arxiv_refs.yml— the nightly backfill thatgives ref-less
reading-queue.mdlines their arXiv id, so the knowledge board canoffer an abstract page and a one-tap 📄 PDF instead of a title search
(PyAutoLabs/PyAutoMemory#61).
MEMORY_RULESdeliberately has no catch-all, so a new Memory workflow isUNMATCHEDand fails the spawn drift check until a human makes an explicitdecision.
The decision
DROP, same reasoning asknowledge_board.ymldirectly above it: the job isgeneric (no secrets, no sibling repos) but it runs on a schedule and pushes to
main, which breaks the fresh-repo invariant.scripts/arxiv_refs.pyandscripts/backfill_arxiv_refs.pyship via thescripts/*KEEP, so an adopter witha populated reading queue re-adds the workflow deliberately.
Verified with
spawn.py --writeagainst both live checkouts:arxiv_refs.ymlnolonger appears as UNMATCHED, canary scan clean, 212 tests pass.
Merge this before PyAutoMemory#61, so
mainnever sees the new workflowwithout its rule.
Generated by Claude Code