cfd-pipeline
cfd-pipeline is a Physics, mathematics & simulation skill for AI agents, published by csml-rpi in the AI-CFD-Scientist repository on GitHub. Skillspace rates cfd-pipeline 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.
Top-level CFD Scientist research pipeline. Chains the cfd-* sub-skills end-to-end — literature → hypothesis → mesh-gate → experiments → analysis → paper. Routes to code-mod / open-ended / general subflows based on intent. Self-contained — embeds MetricSetupAgent + MetricSetupVerifier prompts verbatim for the metric-setup stage.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 37
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
- 96 / 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
- executes shell/subprocess
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.