data-scientist
data-scientist is a Statistical modelling skill for AI agents, published by brycewang-stanford in the Auto-Empirical-Research-Skills repository on GitHub. Skillspace rates data-scientist D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Method selection guidance. For syntax, load tool-specific skills.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 2,866
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 69 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Portable: works in any project. General Python data science and causal inference 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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