archr

archr is a skill for Claude Code, Codex from CHENyiru3/AI-Skills-Collections. It costs 33 tokens per session (1,476 once invoked), scanned A, original, MIT.

An R package for analysing single-cell ATAC-seq data, which shows where DNA is open in individual cells. It covers peak finding, cell grouping, DNA-binding motif analysis, and comparison with gene-expression data.

In plain words
What is it for?
Use it to study chromatin accessibility, find regulatory regions and transcription-factor motifs, group cells by chromatin state, and connect ATAC-seq results with single-cell RNA-seq.
Why use it?
It provides a defined workflow for turning raw accessibility data into cell types and possible gene-regulation signals, instead of assembling each analysis step yourself.

Skill for Claude CodeCodex

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

Good fit Use it to study chromatin accessibility, find regulatory regions and transcription-factor motifs, group cells by chromatin state, and connect ATAC-seq results with single-cell RNA-seq.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chenyiru3/ai-skills-collections/archr
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 CHENyiru3/AI-Skills-Collections --skill archr
Clone the repo
git clone --depth 1 https://github.com/CHENyiru3/AI-Skills-Collections

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 archr

README.md
[![agentmods](https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/archr/github.svg)](https://agentmods.dev/skills/chenyiru3/ai-skills-collections/archr)
Your own site
<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/archr"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/archr/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 archr

Your own site · 80×15
<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/archr"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/archr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,476 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 $0.00033 $0.01476
Opus 5.5 $0.00013 $0.00590
Sonnet 5.5 $0.00007 $0.00295
Haiku 4.5 $0.00003 $0.00148

Measured 6d ago against content hash 8bd024cbc104, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

archr 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 6d 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-market/compbio/multiomics/scATAC-seq/archr/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ArchR: Single-Cell ATAC-Seq Analysis

Overview

ArchR is a powerful R package for analyzing single-cell ATAC-seq (Assay for Transposase-Accessible Chromatin sequencing) data. It provides a complete workflow from raw reads to interpretation, including dimensionality reduction, clustering, peak calling, motif analysis, and integration with gene expression data.

When to Use This Skill

This skill should be used when:

  • Analyzing single-cell ATAC-seq data
  • Performing chromatin accessibility analysis
  • Identifying cell types based on chromatin state
  • Finding regulatory elements and TF motifs
  • Integrating scATAC-seq with scRNA-seq
  • Creating pseudo-bulk accessibility tracks

Quick Start

Installation

# Install ArchR
install.packages("ArchR")

# Or from GitHub
devtools::install_github("GreenleafLab/ArchR", ref="master")

# Install dependencies
install.packages("BSgenome.Hsapiens.UCSC.hg38")

Basic Setup

library(ArchR)
library(ggplot2)
library(dplyr)

# Set genome
addArchRGenome("hg38")

Creating ArchR Project

From Fragments

# Create input files
inputFiles <- c(
  "sample1" = "path/to/sample1.fragments.tsv.gz",
  "sample2" = "path/to/sample2.fragments.tsv.gz"
)

# Create Arrow files
ArrowFiles <- createArrowFiles(
  inputFiles = inputFiles,
  sampleNames = names(inputFiles),
  filterTSS = 4,          # Minimum TSS enrichment
  filterFrags = 1000,     # Minimum fragments
  addTileMat = TRUE,      # Add tile matrix
  addGeneScoreMat = TRUE  # Add gene score matrix
)

# Create ArchR project
proj <- ArchRProject(
  ArrowFiles = ArrowFiles,
  outputDirectory = "ArchR_Project"
)

Analysis Workflow

Dimensionality Reduction

# Add dimensionality reduction
proj <- addIterativeLSA(
  ArchRProj = proj,
  useMatrix = "TileMatrix",
  name = "IterativeLSI",
  clusterParams = list(
    resolution = c(0.2, 0.4, 0.8),
    sampleCells = 10000,
    n.start = 10
  )
)

Clustering

# Add clusters
proj <- addClusters(
  input = proj,
  reducedDims = "IterativeLSI",
  method = "Seurat",
  name = "Clusters",
  resolution = 0.8
)

Read the full file on GitHub · 267 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. 6d ago First seen · 267 lines · 33 tokens per session scan A 8bd024cbc104

Subscribe to this mod's changes

archr is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 33 tokens to every session and 1,476 once invoked, about $0.0001 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 2026-10-02.

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