datasets-loading

A collection of built-in biological datasets and predefined gene-signature lists for OmicVerse, a toolkit for analysing biological data.

In plain words
What is it for?
Use it to load sample single-cell, spatial, multiome, immune, pancreas, brain, and zebrafish datasets, create mock datasets, or load GMT gene-signature sets.
Why use it?
It gives you ready-to-use example data and mock data, so you can test workflows without first finding or preparing a dataset.

Skill for Claude CodeCodex

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/omicverse/omicclaw/datasets-loading
Any agent
npx skills add omicverse/omicclaw --skill datasets-loading
Clone the repo
git clone --depth 1 https://github.com/omicverse/omicclaw

Made for: Claude Code, Codex.

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,243 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00045 $0.02243
Opus 5 $0.00023 $0.01122
Sonnet 5 $0.00009 $0.00449
Haiku 4.5 $0.00005 $0.00224

Measured 2d ago against content hash 04b09ef43fec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

datasets-loading scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

# import urllib.request
src/omicverse_skills/skills/datasets-loading/SKILL.md · 188 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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. 2d ago First seen · 188 lines · 45 tokens per session scan A 04b09ef43fec

Subscribe to this mod's changes

datasets-loading is a skill published in the GitHub repository omicverse/omicclaw (33 stars, last pushed 3mo ago), licensed GPL-3.0. It adds 45 tokens to every session and 2,243 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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