tooluniverse-spatial-transcriptomics

tooluniverse-spatial-transcriptomics is a skill for Claude Code, Codex from AndyZhuang/Opentest. It costs 122 tokens per session (5,969 once invoked), scanned A, original, MIT.

A workflow for studying which genes are active in different locations within a tissue. Spatial transcriptomics combines gene-expression measurements with physical coordinates, helping reveal tissue structure, regions, and nearby cell populations.

In plain words
What is it for?
Use it with datasets from 10x Visium, MERFISH, seqFISH, Slide-seq, and similar platforms. It supports spatial clustering, domain identification, spatially variable genes, proximity analysis, tissue-morphology comparisons, and integration with single-cell annotations.
Why use it?
It shows where biological changes occur, which ordinary gene-expression measurements may hide. This helps connect gene activity with tissue architecture, cell neighborhoods, and disease environments.

Skill for Claude CodeCodex

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

Good fit Use it with datasets from 10x Visium, MERFISH, seqFISH, Slide-seq, and similar platforms. It supports spatial clustering, domain identification, spatially variable genes, proximity analysis, tissue-morphology comparisons, and integration with single-cell annotations.

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Install with agentmods
npx agentmods add skills/andyzhuang/opentest/tooluniverse-spatial-transcriptomics
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 AndyZhuang/Opentest --skill tooluniverse-spatial-transcriptomics
Clone the repo
git clone --depth 1 https://github.com/AndyZhuang/Opentest

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 tooluniverse-spatial-transcriptomics

README.md
[![agentmods](https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-spatial-transcriptomics/github.svg)](https://agentmods.dev/skills/andyzhuang/opentest/tooluniverse-spatial-transcriptomics)
Your own site
<a href="https://agentmods.dev/skills/andyzhuang/opentest/tooluniverse-spatial-transcriptomics"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-spatial-transcriptomics/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 tooluniverse-spatial-transcriptomics

Your own site · 80×15
<a href="https://agentmods.dev/skills/andyzhuang/opentest/tooluniverse-spatial-transcriptomics"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-spatial-transcriptomics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,969 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.
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 $0.00122 $0.05969
Opus 5 $0.00061 $0.02985
Sonnet 5 $0.00024 $0.01194
Haiku 4.5 $0.00012 $0.00597

Measured 8d ago against content hash b51e020deceb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

tooluniverse-spatial-transcriptomics 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 8d 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.

skills/labclaw/bio/tooluniverse-spatial-transcriptomics/SKILL.md · 789 lines

How it starts

The opening of the file, as written. The whole thing — 789 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spatial Transcriptomics Analysis

Comprehensive analysis of spatially-resolved transcriptomics data to understand gene expression patterns in tissue architecture context. Combines expression profiling with spatial coordinates to reveal tissue organization, cell-cell interactions, and spatially variable genes.

When to Use This Skill

Triggers:

  • User has spatial transcriptomics data (Visium, MERFISH, seqFISH, etc.)
  • Questions about tissue architecture or spatial organization
  • Spatial gene expression pattern analysis
  • Cell-cell proximity or neighborhood analysis requests
  • Tumor microenvironment spatial structure questions
  • Integration of spatial with single-cell data
  • Spatial domain identification
  • Tissue morphology correlation with expression

Example Questions This Skill Solves:

  1. "Analyze this 10x Visium dataset to identify spatial domains"
  2. "Which genes show spatially variable expression in this tissue?"
  3. "Map the tumor microenvironment spatial organization"
  4. "Find genes enriched at tissue boundaries"
  5. "Identify cell-cell interactions based on spatial proximity"
  6. "Integrate spatial transcriptomics with scRNA-seq annotations"
  7. "Characterize spatial gradients in gene expression"
  8. "Map ligand-receptor pairs in tissue context"

Core Capabilities

Capability Description
Data Import 10x Visium, MERFISH, seqFISH, Slide-seq, STARmap, Xenium formats
Quality Control Spot/cell QC, spatial alignment verification, tissue coverage
Normalization Spatial-aware normalization accounting for tissue heterogeneity
Spatial Clustering Identify spatial domains with similar expression profiles
Spatial Variable Genes Find genes with non-random spatial patterns
Neighborhood Analysis Cell-cell proximity, spatial neighborhoods, niche identification
Spatial Patterns Gradients, boundaries, hotspots, expression waves
Integration Merge with scRNA-seq for cell type mapping
Ligand-Receptor Spatial Map cell communication in tissue context
Visualization Spatial plots, heatmaps on tissue, 3D reconstruction

Read the full file on GitHub · 789 lines

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. 8d ago First seen · 789 lines · 122 tokens per session scan A b51e020deceb

Subscribe to this mod's changes

tooluniverse-spatial-transcriptomics is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 122 tokens to every session and 5,969 once invoked, about $0.0006 per session on Opus 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 2026-09-03.

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