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🧬 Taiwan.md — Routine Audit v3.0 — measured AI agent skill | DecimalAI

frank890417/twmd-routine-audit

NewSkillScoreMaintained

Cross-routine 飛輪自審 — 7-day pattern detection via canonical ROUTINE-AUDIT-PIPELINE. TRIGGER when: user says "跑 routine audit", "飛輪自審", "cross-routine pattern detection".

productivityby frank890417

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Doc Ops pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/frank890417-twmd-routine-audit/SKILL.md

decimalai skills pull frank890417-twmd-routine-audit --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/frank890417-twmd-routine-audit/SKILL.md https://app.decimal.ai/s/frank890417-twmd-routine-audit/SKILL.md

Raw file: /s/frank890417-twmd-routine-audit/SKILL.md ↗ · machine-readable summary at /s/frank890417-twmd-routine-audit.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 2h ago

—-13% tokens0% turns77% of whole cases pass with skill (17/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-03	✗→✓	▲ Improved	2335%	0%
case-04	✗→✓	▲ Improved	326%	0%
case-05	✗→✓	▲ Improved	-26%	0%
case-06	✗→✓	▲ Improved	-1%	0%
case-07	✗→✓	▲ Improved	-26%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

frank890417 / taiwan-md

.claude/skills/twmd-routine-audit/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

🧬 Taiwan.md — Routine Audit v3.0

🚨 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

bash
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。

Want to see if frank890417/twmd-routine-audit would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.