did-expert
did-expert is an Experimentation & statistics skill for AI agents, published by SiyaoZheng in the ai4ss-skills repository on GitHub. Skillspace rates did-expert D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Provide deep, study-specific expertise for difference-in-differences and related panel causal designs. Use when treatment timing, comparison groups, staggered adoption, heterogeneous effects, event studies, treatment reversals, continuous exposure, anticipation, spillovers, parallel trends, estimator choice, inference, or sensitivity are central. Triggers include "DID", "difference in differences", "event study", "staggered treatment", "parallel trends", "TWFE", "HonestDiD", "双重差分", "事件研究", "平行趋势", "分期处理".
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 36
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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