openpiv
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Performs 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.
- Package
- 6 files, 52 KB
- SKILL.md
- 2369 words, 12+ sections
- Code
- Python (4)
- Allowed tools
ReadWriteEditBash- License
- BSD-3-Clause
- Compatibility
- Requires Python 3.10+ with openpiv installed (uv pip install openpiv). numpy, scipy, scikit-image, and matplotlib arrive as dependencies. No network access needed after install.
SKILL.md covers: OpenPIV · Overview · When to use · Quick Start · Pin it when the analysis needs to be reproducible -- this is the version every · snippet below was checked against. · Always returns (u, v, s2n); s2n is all NaN if sig2noise_method=None. · flags is a boolean array: True marks a spurious vector. · Scale, then convert to right-handed image-boundary coordinates. · Core Concepts · PIV Fundamentals · Interrogation Window Parameters
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 19 KB |
references/advanced_algorithms.md | doc | 15 KB |
scripts/__init__.py | script | 29 B |
scripts/analyze.py | script | 6.1 KB |
scripts/run_example.py | script | 2.8 KB |
scripts/runner.py | script | 10 KB |
External hosts referenced
github.com openpiv.readthedocs.io
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-openpiv-scan.json
- Badge for your README:
- Request a re-scan