tcga-cibersort-deconv

tcga-cibersort-deconv is a skill for Claude Code, Codex from YuliaNuzhnenko/bioinformatics-agent-skills. It costs 50 tokens per session (468 once invoked), scanned A, original, MIT.

A bioinformatics workflow for studying gene activity and immune cells in cancer data from The Cancer Genome Atlas, a public cancer research database. It estimates the proportions of different immune cells inside tumour samples.

In plain words
What is it for?
Downloading TCGA RNA sequencing data, preparing gene-expression values, calculating tumour-infiltrating immune-cell fractions with CIBERSORT, and producing result tables and figures.
Why use it?
It combines data download, count normalization, and immune-cell estimation in one workflow, reducing manual preparation for this analysis.

Skill for Claude CodeCodex

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

Good fit Downloading TCGA RNA sequencing data, preparing gene-expression values, calculating tumour-infiltrating immune-cell fractions with CIBERSORT, and producing result tables and figures.

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Install with agentmods
npx agentmods add skills/yulianuzhnenko/bioinformatics-agent-skills/tcga-cibersort-deconv
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 YuliaNuzhnenko/bioinformatics-agent-skills --skill tcga-cibersort-deconv
Clone the repo
git clone --depth 1 https://github.com/YuliaNuzhnenko/bioinformatics-agent-skills

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 tcga-cibersort-deconv

README.md
[![agentmods](https://agentmods.dev/badge/skills/yulianuzhnenko/bioinformatics-agent-skills/tcga-cibersort-deconv/github.svg)](https://agentmods.dev/skills/yulianuzhnenko/bioinformatics-agent-skills/tcga-cibersort-deconv)
Your own site
<a href="https://agentmods.dev/skills/yulianuzhnenko/bioinformatics-agent-skills/tcga-cibersort-deconv"><img src="https://agentmods.dev/badge/skills/yulianuzhnenko/bioinformatics-agent-skills/tcga-cibersort-deconv/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 tcga-cibersort-deconv

Your own site · 80×15
<a href="https://agentmods.dev/skills/yulianuzhnenko/bioinformatics-agent-skills/tcga-cibersort-deconv"><img src="https://agentmods.dev/badge/skills/yulianuzhnenko/bioinformatics-agent-skills/tcga-cibersort-deconv.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 468 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 $0.00050 $0.00468
Opus 5 $0.00025 $0.00234
Sonnet 5 $0.00010 $0.00094
Haiku 4.5 $0.00005 $0.00047

Measured 12d ago against content hash 40ab49c2787c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tcga-cibersort-deconv 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 12d 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/tcga-cibersort-deconv/SKILL.md · 55 lines

What it actually says

Agent Skill: TCGA Immune Microenvironment Deconvolution Skill

Domain Version

📌 Description

Downloads TCGA RNA-Seq datasets via TCGAbiolinks, normalizes log2(TPM+1) counts, and calculates tumor-infiltrating immune cell fractions (CIBERSORT).


🤖 Agent Execution Protocol

When an AI Agent is tasked with tcga-cibersort-deconv:

  1. Input Validation: Verify that the required input files or coordinates are supplied.
  2. Environment Check: Ensure dependencies (TCGAbiolinks, limma, CIBERSORT, ggplot2) are installed.
  3. Execution: Run the protocol pipeline snippet below.
  4. Output Generation: Produce actionable Markdown/JSON summaries with publication figures.

💻 Protocol Code Snippet

library(TCGAbiolinks)
query <- GDCquery(project="TCGA-LUAD", data.category="Transcriptome Profiling", data.type="Gene Expression Quantification")


📥 Input & Output Specifications

Input Contract

  • Target Files: Valid input data matching domain formats.
  • Parameters: Quality thresholds and cutoffs.

Output Contract

  • Results Table: Structured summary dataframe or matrix.
  • Visualization: Rendered SVG/PNG figures.

📄 License

Distributed under the MIT License. See LICENSE for details.

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. 12d ago First seen · 55 lines · 50 tokens per session scan A 40ab49c2787c

Subscribe to this mod's changes

tcga-cibersort-deconv is a skill published in the GitHub repository YuliaNuzhnenko/bioinformatics-agent-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 468 once invoked, about $0.0003 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 2026-08-31.

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