zarr-python SKILL.md skillA
zarr-python 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/zarr-python@v1.5Pins v1.5 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/zarr-python/SKILL.md- Versions recorded
- 6
- Latest version
- v1.5, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 8,954 bytes
- Repository stars
- 56,497
- License
- MIT
Stores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation.
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
# Zarr Python ## When to use Use for chunked scientific arrays, hierarchical stores, codecs, sharding, partial reads, cloud object storage, and NumPy/Dask/Xarray interoperability. This community guide targets **Zarr-Python 3.4.0**, released **2026-09-15**, with Python 3.12+. The package version and on-disk format are separate: this release reads/writes formats 2 and 3; new arrays default to format 3. Keep downstream packages that require `zarr<3` in their own environments. ## Install ```bash uv pip install "zarr==3.4.0" "numpy==2.5.3" # Optional remote backends and migration CLI: uv pip install "zarr[remote,cli]==3.4.0" "fsspec==2026.9.0" "s3fs==2026.9.0" "gcsfs==2026.8.1" ``` Commit the project's resolved lockfile. Optional integration versions exercised here: Dask 2026.8.0, Xarray 2026.9.0, h5py 3.16.0, NumCodecs 0.17.0, obstore 0.11.1. Local examples below and in the references use tiny synthetic arrays; remote snippets are illustrative and require a real authorized store. This does not establish cloud permissions, production throughput, or compatibility of every downstream reader. ## Workflow …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/zarr-python@sha256:1edaabfc3fc618d4The line at the top of this page pins the label v1.5, 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_d5tkvzoai5zq5yjq)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 22 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5 latest | 2026-10-01 | a92663a | 8,954 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 8,965 B | A | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 8,520 B | A | view · diff |
| v1.2 | 2026-07-26 | 2f2022d | 7,562 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 21,875 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 21,880 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 (8954 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_d5tkvzoai5zq5yjq GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/zarr-python GET https://markdownregistry.com/api/v1/blob/1edaabfc3fc618d4c3a16bd70c589c039a3cb3a26683f02bca0ccc140d3c9c4d
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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