cellxgene-context

cellxgene-context is a skill for Claude Code, Codex from ammawla/encode-toolkit. It costs 86 tokens per session (4,831 once invoked), scanned A, original, AGPL-3.0.

A guide for combining CellxGene Census, a large single-cell gene-expression database, with ENCODE, a public collection of regulatory genomics experiments. It adds cell-type context to bulk measurements.

In plain words
What is it for?
Use it to study cell-type-specific expression, separate mixed ENCODE signals by cell type, and check regulatory elements against single-cell evidence.
Why use it?
Bulk experiments mix signals from many cell types, making it hard to tell which cells drive a result. This guide helps compare those signals with single-cell data.

Skill for Claude CodeCodex

Part of the encode-toolkit plugin — 37 skills shipped together

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/ammawla/encode-toolkit/cellxgene-context
Any agent
npx skills add ammawla/encode-toolkit --skill cellxgene-context
Clone the repo
git clone --depth 1 https://github.com/ammawla/encode-toolkit

Made for: Claude Code, Codex.

Or install encode-toolkit, the plugin that ships this one along with the rest of its 37 skills.

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 cellxgene-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/ammawla/encode-toolkit/cellxgene-context.svg)](https://agentmods.dev/skills/ammawla/encode-toolkit/cellxgene-context)
Your own site
<a href="https://agentmods.dev/skills/ammawla/encode-toolkit/cellxgene-context"><img src="https://agentmods.dev/badge/skills/ammawla/encode-toolkit/cellxgene-context.svg" alt="Measured on agentmods" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00086 $0.04831
Opus 5 $0.00043 $0.02416
Sonnet 5 $0.00017 $0.00966
Haiku 4.5 $0.00009 $0.00483

Measured 4d ago against content hash 3953cc0c269c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cellxgene-context 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 4d 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.

plugin/skills/cellxgene-context/SKILL.md · 444 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-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. 4d ago First seen · 444 lines · 86 tokens per session scan A 3953cc0c269c

Subscribe to this mod's changes

cellxgene-context is a skill published in the GitHub repository ammawla/encode-toolkit (24 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 86 tokens to every session and 4,831 once invoked, about $0.0004 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 2026-08-30.

Related

Other skills, from other repositories

bids

Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars…

K-Dense-AI/scientific-agent-skills · 80 tokens

genomic-intelligence

Predict regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer…

K-Dense-AI/scientific-agent-skills · 150 tokens

arboreto

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for…

K-Dense-AI/scientific-agent-skills · 66 tokens

database-lookup

Query documented public database APIs with explicit endpoints, filters, pagination, and provenance. Use when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.

K-Dense-AI/scientific-agent-skills · 50 tokens

clinical-reports

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation…

synthetic-sciences/openscience · 71 tokens

cerna-analysis

Use when building a ceRNA regulatory network from a key gene list by combining bundled miRNA-mRNA and miRNA-lncRNA database files, with flat-file CSV exports and PDF visualization in a single output directory. NOT for: differential expression, single-cell analysis, enrichment analysis, or workflows without a key gene…

aipoch/medical-research-skills · 68 tokens