openpiv
openpiv is a Computer vision skill for AI agents, published by K-Dense-AI in the claude-scientific-skills repository on GitHub. Skillspace rates openpiv C (72/100) and it passed the safety scan; a judge model has also reviewed it.
Particle Image Velocimetry (PIV) analysis with OpenPIV. Use when extracting velocity fields from PIV image pairs, analyzing fluid dynamics or flow visualization experiments, cross-correlating interrogation windows, validating and replacing spurious PIV vectors, or computing vorticity, strain rate, and turbulence statistics from measured velocity fields.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #2 of 6 in the judged category final for Computer vision.
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 6 in the judged category final for Computer vision.
- Trigger
88 88 - Instructions
90 90 - Specificity
93 93 - Safety
95 95 - Disclosure
87 87 - Maintenance
83 83
A tight, version-pinned PIV workflow with a runnable end-to-end example and precise parameter guidance on thresholds, window sizing, and masking gotchas.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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