zarr-chunked-array-store-starter

zarr-chunked-array-store-starter is a skill for Claude Code, Codex from ma-compbio-lab/SkillFoundry. It costs 0 tokens per session (258 once invoked), scanned A, original, Apache-2.0.

A small example tool for turning a numeric table into a Zarr store, a file format for storing large arrays in compressed chunks.

In plain words
What is it for?
Use it to create a tiny Zarr v2 test fixture and inspect its shape, chunk layout, compression setting, and summary statistics.
Why use it?
It provides a repeatable local example for checking how chunking and compression affect stored scientific data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/ma-compbio-lab/skillfoundry/zarr-chunked-array-store-starter
Any agent
npx skills add ma-compbio-lab/SkillFoundry --skill zarr-chunked-array-store-starter
Clone the repo
git clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundry

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for zarr-chunked-array-store-starter

README.md
[![agentmods](https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/zarr-chunked-array-store-starter.svg)](https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/zarr-chunked-array-store-starter)
Your own site
<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/zarr-chunked-array-store-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/zarr-chunked-array-store-starter.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 258 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00258
Opus 5 $0.00000 $0.00129
Sonnet 5 $0.00000 $0.00052
Haiku 4.5 $0.00000 $0.00026

Measured 6d ago against content hash 9cea14259492, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

zarr-chunked-array-store-starter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/run_zarr_chunked_array_store.py, tests/test_run_zarr_chunked_array_store.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/data-acquisition-and-dataset-handling/zarr-chunked-array-store-starter/SKILL.md · 27 lines

What it actually says

Zarr Chunked Array Store Starter

Use this skill to convert a small numeric matrix into a chunked, compressed Zarr store and inspect a deterministic summary of its layout.

What This Skill Does

  • reads a toy tabular matrix
  • writes a local Zarr v2 array with fixed chunking and Blosc compression
  • reports shape, chunk layout, compressor choice, and summary statistics

When To Use It

  • when you need a starter for chunking-sharding
  • when you want a repo-local example of Zarr plus numcodecs
  • when you need a tiny test fixture for chunked scientific array storage

Run

python3 skills/data-acquisition-and-dataset-handling/zarr-chunked-array-store-starter/scripts/run_zarr_chunked_array_store.py --input skills/data-acquisition-and-dataset-handling/zarr-chunked-array-store-starter/examples/toy_matrix.tsv --store-out scratch/zarr/toy_matrix.zarr --summary-out scratch/zarr/toy_matrix_summary.json

Notes

  • The starter writes Zarr format 2 explicitly so classic compressor settings remain deterministic.
  • The example is intentionally tiny and local; scale chunking decisions against real workloads before production use.
Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 27 lines · 0 tokens per session scan A 9cea14259492

Subscribe to this mod's changes

zarr-chunked-array-store-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 258 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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