cfd-cross-analyze
cfd-cross-analyze is a Scientific data analysis & plotting skill for AI agents, published by csml-rpi in the AI-CFD-Scientist repository on GitHub. Skillspace rates cfd-cross-analyze D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Cross-experiment quantitative analysis. Author Python scripts (numpy + matplotlib + PyVista + pandas) that load every PROCEED case, compute aggregated metrics, and generate the comparison figures the paper needs (Cf overlays vs reference, RMSE bar charts, parametric trends, Δ-field contours). Then run a vision+text interpretation pass over the generated plots. This is the cross-case Python authoring layer cfd-paper consumes — without it, papers end up with only per-case contours.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- 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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