jmis-data-analysis
jmis-data-analysis is a Statistical modelling skill for AI agents, published by brycewang-stanford in the Awesome-Journal-Skills repository on GitHub. Skillspace rates jmis-data-analysis D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the estimation, identification, construct validity, or modeling is the bottleneck for a Journal of Management Information Systems (JMIS) manuscript — econometrics on firm/platform data, SEM/PLS for behavioral constructs, analytical-model derivations, or ML/analytics evaluation. Executes and stress-tests the analysis the design (jmis-methods) chose; it does not redesign the study.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 805
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Portable: works in any project. General research-methods rigor, scoped to a journal not code
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- 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.