anndata

anndata is a skill for Claude Code from K-Dense-AI/scientific-agent-skills. It costs 61 tokens per session (4,161 once invoked), scanned A, original, MIT.

A Python data structure for storing a measurement matrix together with information about its rows, columns, and related annotations. It is commonly used for single-cell genomics data in files such as .h5ad.

In plain words
What is it for?
Use it to create, read, write, filter, transform, and combine annotated datasets, including single-cell experiments and data used with Scanpy or other scverse tools.
Why use it?
It keeps measurements and their metadata together, making large or sparse biological datasets easier to filter, combine, save, and analyze.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to create, read, write, filter, transform, and combine annotated datasets, including single-cell experiments and data used with Scanpy or other scverse tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agent-skills/anndata
About the project

Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.

K-Dense-AI/scientific-agent-skills · 50,453 stars · on GitHub · arxiv.org

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.

Any agent
npx skills add K-Dense-AI/scientific-agent-skills --skill anndata
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

Made for: Claude Code.

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 anndata

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/anndata/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/anndata)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/anndata"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/anndata/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for anndata

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/anndata"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/anndata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,161 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 2 Oct 2026
  • Snyk pass 2 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00061 $0.04161
Opus 5.5 $0.00024 $0.01664
Sonnet 5.5 $0.00012 $0.00832
Haiku 4.5 $0.00006 $0.00416

Measured 14d ago against content hash a619c4088e1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

anndata 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 14d ago.

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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

  • anndata — 100% identical, 151 lines differ
  • anndata — 100% identical, 149 lines differ
  • anndata — 100% identical, 151 lines differ
  • anndata — 100% identical, 151 lines differ
  • anndata — 92% identical, 133 lines differ
  • anndata — 91% identical, 188 lines differ
  • anndata — 89% identical, 188 lines differ
  • anndata — 89% identical, 188 lines differ
skills/anndata/SKILL.md · 475 lines

How it starts

The opening of the file, as written. The whole thing — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AnnData

Overview

AnnData is a Python package for handling annotated data matrices, storing experimental measurements (X) alongside observation metadata (obs), variable metadata (var), and multi-dimensional annotations (obsm, varm, obsp, varp, uns). Originally designed for single-cell genomics through Scanpy, it now serves as a general-purpose framework for any annotated data requiring efficient storage, manipulation, and analysis.

When to Use This Skill

Use this skill when:

  • Creating, reading, or writing AnnData objects
  • Working with h5ad, zarr, or other genomics data formats
  • Performing single-cell RNA-seq analysis
  • Managing large datasets with sparse matrices or backed mode
  • Concatenating multiple datasets or experimental batches
  • Subsetting, filtering, or transforming annotated data
  • Integrating with scanpy, scvi-tools, or other scverse ecosystem tools

Installation

Targets AnnData 0.13.4 (current PyPI release reviewed 2026-09-30), requiring Python 3.12+. Small synthetic checks cover dense/sparse matrices, native I/O, metadata, concatenation, and lazy reads. File paths, biological analysis, remote stores, and third-party integration examples are illustrative unless stated otherwise.

uv pip install "anndata==0.13.4"

# Lazy I/O and dask-backed operations
uv pip install "anndata[dask,lazy]==0.13.4"

Use unpinned installs only when intentionally tracking the latest compatible release.

Current API notes:

  • Use anndata.io for non-native read_* and write_* helpers. Top-level anndata.read_h5ad and anndata.read_zarr remain supported.
  • Use ad.concat; AnnData.concatenate() was removed in 0.13. Avoid old ad.read, deprecated AnnData.*_keys() helpers and anndata.__version__; prefer explicit readers, mapping .keys(), and importlib.metadata.version("anndata").
  • In 0.13, .X is also layers[None]; layer iteration includes None. Use key is not None when selecting named layers. View .X writes now use copy-on-write.
  • Zarr v3 and automatic sharding are the defaults; the Python dependency is Zarr >=3. Dense H5AD X remains writable with backed="r+", but backed sparse item assignment is unsupported in 0.13.
  • AnnLoader and Loom reading/writing are deprecated. AnnCollection and other experimental APIs need the caveats in the references.

Read the full file on GitHub · 475 lines

Files

What ships with it

5 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. 14d ago Changed · +20 lines · -2 tokens per session a619c4088e1b
  2. 15d ago Changed · +7 lines 3057c2384f1f
  3. 1mo ago Changed · +16 lines 394e98bdcd8e
  4. 1mo ago First seen · 432 lines · 63 tokens per session scan A c7c326d42419

Subscribe to this mod's changes

anndata is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (50,453 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 4,161 once invoked, about $0.0002 per session on Opus 5.5. 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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