🧬 Taiwan.md — Routine Audit v3.0
SkillDev toolsCross-routine flywheel self-audit — 7-day pattern detection via the canonical ROUTINE-AUDIT-PIPELINE. TRIGGER when: user says "跑 routine audit", "飛輪自審", "cross-routine pattern detection".
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 🧬 Taiwan.md — Routine Audit v3.0 skill
What this skill tells your AI
The instructions your AI receives, as published by frank890417/taiwan-md in .claude/skills/twmd-routine-audit/SKILL.md and read by ahel’s review.
🚨 STRICT BECOME GATE — 第一動作不可省略
Before anything else：跑 /twmd-become full 完整走 BECOME_TAIWANMD.md Step 0-9。Full mode self-test 14 題全過才能進 Stage 1。
✅ BECOME ack: mode=full / 8 organ 最低=<即時 consciousness-snapshot.sh> / Q5/Q6/Q13/Q14=PASS
Pipeline
嚴格完整讀取並執行 docs/pipelines/ROUTINE-AUDIT-PIPELINE.md v1.0。Stage 1-6：SCAN → CORRELATE → PATTERN → LESSONS → REPORT → SHIP。
數據工具
python3 scripts/tools/routine-audit.py --last-week --out-file=/tmp/routine-audit.json
純資料層；4 cross-cutting pattern 分析 + insight 由本 skill LLM 層處理。
4 lens primary framework
- Collision — rescue / orphan / handoff chain
- Dormant entropy — canonical ↔ production drift
- Boundary input precision — ground-truth vs description
- Heal bidirectional — over-action / over-ship / over-defer
LESSONS-INBOX vc 累積
LESSONS-INBOX vc +1 累積 > 新 entry append。達 vc=3 必標 distill_ready: true。
收官
/twmd-finale chain → memory file 必含：BECOME ACK + 4 lens findings + N pattern detected + LESSONS vc updates + Handoff 三態 + Beat 5 反芻。
Signals
- GitHub stars
- 1k
- Forks
- 185
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
twmd-routine-audit- Source
- github.com/frank890417/taiwan-md