scholar-design

scholar-design is an Academic writing & papers skill for AI agents, published by joshzyj in the open-scholar-skill repository on GitHub. Skillspace rates scholar-design D (56/100) and it passed the safety scan; the rating is based on static analysis only.

Plan a rigorous research design, run power analysis, specify variables, select an analytic strategy, design computational studies (NLP/ML/networks/ABM), write a pre-analysis plan, and draft the Data and Methods section for social science research. Produces a design blueprint saved to disk. Use after /scholar-hypothesis and before /scholar-data and /scholar-analyze.

Grade
D
Quality
56 / 100
Safety
Passed
GitHub stars
102

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
74 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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

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