openpiv SKILL.md skillA
openpiv from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/openpiv@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/openpiv/SKILL.md- Versions recorded
- 4
- Latest version
- v1.3, committed Oct 1, 2026
- First version recorded
- Jul 26, 2026
- Size
- 19,066 bytes
- Repository stars
- 56,497
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# OpenPIV ## Overview OpenPIV (Open Particle Image Velocimetry) analyzes fluid flow from PIV image pairs. It covers preprocessing, cross-correlation, vector validation, outlier replacement, smoothing, and scaling to physical units. Targets **openpiv 0.26.1**. Synthetic checks ran on Python 3.13, NumPy 2.5.3, SciPy 1.18.1, scikit-image 0.26.0, and Matplotlib 3.11.2. Rust was not installed; use `backend="scipy"` for the tested path. See [review evidence](references/advanced_algorithms.md#review-sources-and-verification). ## When to use Use this skill when working with experimental PIV or flow-visualization image pairs: measuring 2D velocity fields, tuning interrogation-window parameters, validating vectors, or deriving vorticity, strain rate, and turbulence statistics. For *simulating* flow rather than measuring it, use a CFD skill instead. ## Quick Start Install OpenPIV: ```bash uv pip install openpiv # Pin it when the analysis needs to be reproducible -- this is the version every # snippet below was checked against. uv pip install "openpiv==0.26.1" ``` Run PIV analysis on an image pair: ```python import numpy as np …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/openpiv@sha256:dc9aeeb18ef4b483The line at the top of this page pins the label v1.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2rbus5vlpehydbic)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Jul 26, 2026 and Oct 1, 2026, about one every 22 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-01 | a92663a | 19,066 B | A | view · diff |
| v1.2 | 2026-09-30 | ce9e6e9 | 17,351 B | A | view · diff |
| v1.1 | 2026-07-28 | 4fb7e0b | 17,027 B | A | view · diff |
| v1.0 | 2026-07-26 | dde1906 | 16,548 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (19066 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2rbus5vlpehydbic GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/openpiv GET https://markdownregistry.com/api/v1/blob/dc9aeeb18ef4b4832b9405c342ce40abbb09bc8162e35f2c659dd5814b07369a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.