Individual skill

memory-hygiene

Detects "stale-but-confident" memory entries — facts that were once verified but have silently drifted. Scans memory/*.md for entries past their staleness threshold and proposes re-verification or archival. Runs automatically as part of harvest-loop Step 0-c and on explicit invocation.

plugins/fh-meta/skills/memory-hygiene/SKILL.md

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Repository last updated
Nov 8, 2026
License
MIT

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# memory-hygiene — Stale Memory Detection and Re-Verification

> Addresses the "stale-but-confident" failure mode: verified information that silently drifts
> while remaining highly ranked in retrieval — identified as a harness failure mode
> in *Scaling the Harness in Agentic AI* (arXiv:2605.26112).
>
> **Sister asset**: arXiv:2607.01935 (*A-TMA: Decoupling State-Aware Memory Failures in Long-Term
> Agent Memory*, Shi/Tang/Tung 2026) names this exact class "ghost memory" — outdated / current /
> transitional facts intermixing during retrieval — and benchmarks it (LTP; conflict-accuracy +0.240,
> temporal-F1 0.03→0.17 on LoCoMo with a bank-maintenance layer). It is the tighter external frame for
> what memory-hygiene detects: this skill is the FH-native *detection + archival* pass over the same
> failure A-TMA formalizes at the retrieval layer. (Source-verified 2026-07-03; a broader bounded-memory
> testbed, arXiv:2607.02255 AgenticSTS, was considered and set aside — it targets context-assembly, not
> staleness, so it is not the sister here.)