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".
Quality
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 13 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' must be a string, got object | Fail |
relative_links | Relative link issues: 1 suspicious | Warning |
referenced_paths_exist | Referenced path issues: 2 missing, 1 deeper-than-1-level | Warning |
Total | 13 / 16 Failed | |
17b6164
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.