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New engineering/memory-engineering/ plugin. The repo had no skill for designing, pricing, or auditing an agent memory system: llm-wiki maintains one vault, skillopt-sleep runs a consolidation loop, agent-harness bounds a task loop. This bounds a store. Four stdlib scripts, one per lens: - memory_cost_profiler.py — construction vs query split, cost per correct answer, amortization ratio, construction co-location warning - memory_architecture_picker.py — scores the four paradigm families, disqualifies on hard constraints, names the cost the choice makes you pay, and refuses to pick when the top two tie (exit 2 + tie-breaking question) - memory_density_auditor.py — classifies records FACT/SKILL/LOG/PROSE, finds near-duplicates, flags staleness and time-relative wording, scores density; runs on a real --dir or --jsonl - forgetting_policy_linter.py — the gate. 8 checks; F1 (explicit forgetting rule) and F4 (contradictions surfaced, never auto-merged) block at exit 4 Evidence discipline: the four-lens framing is synthesized from @N01ennn's "How to be a Memory Engineer", but every quantitative claim is re-cited to the primary source, and two of the article's paraphrases are corrected in the references rather than propagated — the 47x energy figure is the spread across ten evaluated systems (not an accuracy-matched pair), and the 97% first-pass-error figure is Rakuten's named vendor testimonial (not a controlled study). Per-claim confidence levels throughout. Three classifier defects found and fixed during the build, each of which would have produced garbage on a real repo: markdown headings inside fenced code blocks were splitting records (258 phantom records -> 107 on a real directory); short fragments matched trivially at 1.00 Jaccard (41 false-positive duplicates); and signal-less prose was labeled LOG, firing LOG_HEAVY at 74% on a documentation folder — now its own PROSE class. Also ships 4 references (7 sources each), a seven-question forcing worksheet, a combined example spec consumed by all three spec-taking scripts, an F1–F8 policy template, cs-memory-engineer, /cs:memory-engineering and /cs:forgetting-audit. Verified: all 4 scripts pass --help / --sample / --output json, stdlib-only, correct exit codes on error paths; SKILL.md 6/6 PASS on the write-a-skill checklist; check_plugin_json.py --all and derive_counters.py --check both pass. Counters: skills 362->363, tools 644->648, refs 741->745, agents 102->103, commands 116->118, plugins 88->89. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Jt1sqt5kQmopyfXu2Hhjnv |
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