light-result-analysis
light-result-analysis is an Experimentation & statistics skill for AI agents, published by Light0305 in the Light-skills repository on GitHub. Skillspace rates light-result-analysis D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Light 科研主线第 7 步·结果分析：不描述好坏、解释「为什么」，把每条结论**绑死到 claim + 证据强度**，并防 p-hacking。 何时用：实验跑完要解读结果 / 问「这些数说明什么」/ 要做显著性检验 + 效应量 + 置信区间 + 多重比较校正 / 担心 p-hacking (多重比较不校正、选择性报告、HARKing) / 要给每条 claim 定证据强度供写作校准措辞 / 判结果支不支撑假设、可不可复现。 触发词：结果分析 / 解读数据 / 这些结果说明什么 / 显著性 / p 值 / 效应量 effect size / Cohen's d / 置信区间 CI / 多重比较 / BH-FDR / Bonferroni / 校正 / p-hacking / 选择性报告 / garden of forking paths / HARKing / 证据强度 / claim 证据绑定 / SHAP / 消融分析 / 切片分析 / 配对检验 / result analysis。 核心纪律：**统计错误 / p-hacking = critical**（spec §4.2，STAGE_GATES[7]=[stat_validity,evidence_strength]）； 过度解读 / 效应量缺失 = warn；**显著性看 q 不看 p**、不显著只能报「未见显著差异」、措辞强度必须匹配证据强度； 统计检查有边界，绝不吹「证明了方法有效 / 因果成立」。本技能是 **7→5（不支撑假设）/ 7→6（不可复现）回炉发起方**。
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 445
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General research statistics and p-hacking guardrails methodology
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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