study-design-builder
study-design-builder is an Experimentation & statistics skill for AI agents, published by SiyaoZheng in the ai4ss-skills repository on GitHub. Skillspace rates study-design-builder D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Build and revise executable study designs for quantitative empirical political science. Use when translating a research problem and theory into a descriptive, associational, predictive, or causal design; defining population and sample; operationalizing constructs; choosing an estimand or target; developing a comparison and identification strategy; planning estimation, diagnostics, robustness, and scope; or assessing whether a proposed design is feasible. Triggers include "study design", "research design", "identification strategy", "pre-analysis plan", "研究设计", "识别策略", "变量测量", "实证策略".
- Grade
- D
- Quality
- 59 / 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
- Basic: a single SKILL.md
- 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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