data-analysis

data-analysis is an Exploratory analysis & notebooks skill for AI agents, published by HaipingXu in the social-science-claude-scholar repository on GitHub. Skillspace rates data-analysis C (74/100) and it passed the safety scan; the rating is based on static analysis only.

This skill should be used when the user asks to "run data analysis", "analyze this dataset", "regress Y on X", "run the main regressions", "produce tables and figures", "end-to-end analysis", "write analysis script", "set up panel regression", "exploratory data analysis", or "produce publication-ready output". Provides end-to-end data analysis workflow for social science research in Python (primary) or Stata, from data loading through publication-ready tables and figures.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
20

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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.