scholar-brainstorm
scholar-brainstorm is an Academic writing & papers skill for AI agents, published by joshzyj in the open-scholar-skill repository on GitHub. Skillspace rates scholar-brainstorm C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Generate research questions from existing materials — codebooks, survey questionnaires, datasets, or published papers/abstracts. Three modes: DATA (data files with safety scan + empirical signal tests), MATERIALS (codebook/questionnaire only with theory-driven ranking), PAPER (published paper/abstract → follow-up research ideas via SciThinker-30B + multi-agent evaluation). Auto-detects mode from file extensions. Explores the data landscape and proposes a ranked Top 10 list of publishable research questions using multi-agent evaluation. PAPER mode optionally uses SciThinker-30B (OpenMOSS-Team/SciThinker-30B on HuggingFace) for scientific ideation generation.
- Grade
- C
- Quality
- 73 / 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
- 97 / 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 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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