research-data-builder
research-data-builder is an Exploratory analysis & notebooks skill for AI agents, published by SiyaoZheng in the ai4ss-skills repository on GitHub. Skillspace rates research-data-builder D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Turn raw political and social data into substantively defensible, analysis-ready research data. Use for cleaning, harmonization, panel construction, record linkage, sample construction, variable operationalization, survey preparation, text-to-structure extraction, missing-data assessment, measurement validation, and reproducible construction of analytical data. Triggers include "build analysis data", "clean data", "merge panel", "construct variables", "sample construction", "数据清洗", "样本构造", "变量构造", "面板数据", "数据合并".
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.