jais-data-analysis
jais-data-analysis is an Academic writing & papers skill for AI agents, published by brycewang-stanford in the Awesome-Journal-Skills repository on GitHub. Skillspace rates jais-data-analysis D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use when running and reporting the empirical core of a Journal of the Association for Information Systems (JAIS) manuscript — SEM measurement and structural models for behavioral IS, identification and robustness for economics-of-IS, artifact evaluation for design science, or trustworthiness for qualitative work — and assembling the data/matrix materials JAIS requires. Executes and reports the analysis; it does not design the study (jais-methods) or frame the contribution (jais-contribution-framing).
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 805
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 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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