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twmd-analyze

Rigorous data-analysis investigation via canonical ANALYSIS-PIPELINE — defends against 分析幻覺 (true-but-misleading numbers). Impact / attribution / funnel / reception / cohort analysis with confounder isolation + honest gates. TRIGGER when: user says "分析 X 有沒有改善", "這流量哪來", "before/after", "改版影響", "研究這批數據", "這個 finding 可不可信", "跑 analysis".

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SKILL.md
Quality
Evals
Security

🧬 Taiwan.md — Analyze(極簡薄殼)

故意極簡。所有 SOP(Stage 0-7 / Hard Gate Inventory / 分析幻覺 H1-H9 目錄 / 5 mode / 深淺兩檔 / 工具盤 / §跨檔分工)100% 在 pipeline canonical。本 skill 只做三件事,不複寫 pipeline 內容(複寫 = drift = 退化)。

1. STRICT BECOME GATE(不可省)

/twmd-become 完整 BECOME_TAIWANMD.md Step 0-9。分析會影響決策 / 對外 / 自己分析自己 → high-stake 強制升 Full mode,self-test 全過才動工。

2. 完整讀 ANALYSIS-PIPELINE(不可 head / tail / 取樣)

Read tool 一次讀完 docs/pipelines/ANALYSIS-PIPELINE.md(無 limit / offset)。照 Stage 0-7 跑,每道 hard gate 都過。

3. 執行 + 過誠實 gate 才交報告

工具盤在 scripts/tools/ga-query.py / sc-query.py / ga-window-compare.py / referral-attribution.py / analysis-report-health.py(地基 lib/sense_client.py)。報告 ship 前 python3 scripts/tools/analysis-report-health.py {report} --tier=deep 必 PASS。Stage 7 把 finding route 到 INBOX / probe / watch,不讓報告腐爛。

鐵律:可重用的是判斷不是查詢;pipeline 防的是「真實但誤導」的分析幻覺(H1 尺度 / H2 率量 / H3 lag / H7 自我驗證)。不要用 ga4-analytics skill 的 runReport 下 filter(靜默吞 filter,REFLEXES #24)—— 一律用 ga-query.py

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frank890417/taiwan-md
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