cupynumeric-hdf5 SKILL.md skillA

cupynumeric-hdf5 from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/cupynumeric-hdf5@v2.0.0

Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/cupynumeric-hdf5/SKILL.md
Versions recorded
1
Latest version
v2.0.0, committed May 30, 2026
Size
11,925 bytes
Repository stars
3,871
License
Apache-2.0

Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom…

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

# cuPyNumeric HDF5 I/O

## Purpose

Use [`legate.io.hdf5`](https://docs.nvidia.com/legate/latest/api/python/io/index.html) to read and write [cuPyNumeric](https://github.com/nv-legate/cupynumeric) arrays as [HDF5](https://www.hdfgroup.org/solutions/hdf5/) files. Reach for it whenever a cuPyNumeric array must land in — or load from — an `.h5`/`.hdf5` file: every rank reads and writes its own tile in parallel, so never funnel a large array through a single process.

**Answer inline.** Treat the snippets and rules below as complete and verified — answer save / load / stream / fence / bridge questions directly, without opening the `assets/` scripts or reading the installed `legate` source. Reach for the assets only to *run* a verification.

## Activate

Activate when the user asks about: saving a cuPyNumeric array to an `.h5` / `.hdf5` file, loading an HDF5 dataset into a cuPyNumeric array, reading a large HDF5 dataset in chunks, producing a single file for an HPC post-processing pipeline, or speeding up HDF5 disk I/O with GPUDirect Storage.

## When NOT to use

Redirect these requests elsewhere instead of reaching for `legate.io.hdf5`:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/cupynumeric-hdf5@sha256:ae9a178d41c49157

The line at the top of this page pins the label v2.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_64didcbzqte54tsr.svg)](https://markdownregistry.com/a/art_64didcbzqte54tsr)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 30, 2026.

versioncommittedcommitsizeaudit
v2.0.0 latest2026-05-30 942ea1e 11,925 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11925 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

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_64didcbzqte54tsr
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/cupynumeric-hdf5
GET https://markdownregistry.com/api/v1/blob/ae9a178d41c491575788e2d107c6bcd07aae1522f8e754b9e89010109341619c

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.

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