scenario-experiment-analysis

scenario-experiment-analysis is an Experimentation & statistics skill for AI agents, published by Drchronx in the ai-agent-research-starter-kit repository on GitHub. Skillspace rates scenario-experiment-analysis B (81/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze scenario/vignette experiment datasets for behavioral research. Use for 情景实验数据分析, manipulation checks, randomization checks, exclusion rules, reliability, ANOVA/ANCOVA, regression, mediation, moderation, moderated mediation, simple slopes, bootstrap indirect effects, effect sizes, exact p-values, robustness checks, and top-journal-style results tables for JCR, JCP, JM, JMR, ISR, MISQ, JAP, OBHDP, JPSP, Psychological Science, UTD24, FT50, and AJG/ABS4-oriented manuscripts.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
39

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.

View source on GitHubDrchronx/ai-agent-research-starter-kit

Our review

Architecture
100 / 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 1 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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