scholar-qual
scholar-qual is an Academic writing & papers skill for AI agents, published by joshzyj in the open-scholar-skill repository on GitHub. Skillspace rates scholar-qual F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Qualitative research methods toolkit for social sciences. Covers codebook development, grounded theory coding (open, axial, selective), Braun & Clarke reflexive thematic analysis, systematic content analysis (Krippendorff), LLM-assisted qualitative coding with human validation (Lin & Zhang 2025 framework), mixed-methods integration, and inter-coder reliability assessment. Produces codebooks, coded datasets, code-to-quote mappings, thematic maps, reliability reports, and publication-ready qualitative write-ups. Exports to NVivo, Atlas.ti, Dedoose, and MAXQDA formats.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- 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.
Our review
- Architecture
- 76 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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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