bio-workflows-chipseq-pipeline

bio-workflows-chipseq-pipeline is a skill for Claude Code, Codex from thesecondfox/skill. It costs 59 tokens per session (2,520 once invoked), scanned A, original, MIT.

A workflow for ChIP-seq analysis, a method for finding where a protein or DNA-associated mark occurs across the genome. It processes raw sequencing reads through alignment, peak detection, quality checks, and annotation.

In plain words
What is it for?
Use it to process ChIP-seq FASTQ files, call peaks with MACS3, measure quality, and annotate peaks with ChIPseeker.
Why use it?
It organizes the steps needed to turn raw IP and input reads into genomic regions linked to nearby genes.

Skill for Claude CodeCodex

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

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/thesecondfox/skill/bio-workflows-chipseq-pipeline
Any agent
npx skills add thesecondfox/skill --skill bio-workflows-chipseq-pipeline
Clone the repo
git clone --depth 1 https://github.com/thesecondfox/skill

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 bio-workflows-chipseq-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-chipseq-pipeline.svg)](https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-chipseq-pipeline)
Your own site
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-chipseq-pipeline"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-chipseq-pipeline.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,520 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00059 $0.02520
Opus 5 $0.00030 $0.01260
Sonnet 5 $0.00012 $0.00504
Haiku 4.5 $0.00006 $0.00252

Measured 2d ago against content hash e11cbb2261fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

bio-workflows-chipseq-pipeline 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 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.

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.

Common_Skills/bio-workflows-chipseq-pipeline/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Version Compatibility

Reference examples tested with: Bowtie2 2.5.3+, MACS3 3.0+, bedtools 2.31+, fastp 0.23+, samtools 1.19+

Before using code patterns, verify installed versions match. If versions differ:

  • R: packageVersion('<pkg>') then ?function_name to verify parameters
  • CLI: <tool> --version then <tool> --help to confirm flags

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

ChIP-seq Pipeline

"Process my ChIP-seq data from FASTQ to annotated peaks" → Orchestrate QC, Bowtie2 alignment, duplicate removal, MACS3 peak calling, ChIPseeker annotation, and QC metrics (FRiP, strand cross-correlation).

Complete workflow from raw ChIP-seq FASTQ files to annotated peaks.

Workflow Overview

FASTQ files (IP + Input)
    |
    v
[1. QC & Trimming] -----> fastp
    |
    v
[2. Alignment] ---------> Bowtie2
    |
    v
[3. BAM Processing] ----> sort, markdup, filter
    |
    v
[4. Peak Calling] ------> MACS3
    |
    v
[5. QC] ----------------> FRiP, fingerprint plots
    |
    v
[6. Annotation] --------> ChIPseeker
    |
    v
Annotated peaks + QC report

Primary Path: Bowtie2 + MACS3 + ChIPseeker

Step 1: Quality Control with fastp

# Process both IP and Input samples
for sample in IP_rep1 IP_rep2 Input_rep1 Input_rep2; do
    fastp -i ${sample}_R1.fastq.gz -I ${sample}_R2.fastq.gz \
        -o trimmed/${sample}_R1.fq.gz -O trimmed/${sample}_R2.fq.gz \
        --detect_adapter_for_pe \
        --qualified_quality_phred 20 \
        --length_required 25 \
        --html qc/${sample}_fastp.html
done

Step 2: Alignment with Bowtie2

# Build index (once)
bowtie2-build genome.fa bt2_index/genome

# Align
for sample in IP_rep1 IP_rep2 Input_rep1 Input_rep2; do
    bowtie2 -p 8 -x bt2_index/genome \
        -1 trimmed/${sample}_R1.fq.gz \
        -2 trimmed/${sample}_R2.fq.gz \
        --no-mixed --no-discordant \
        --maxins 1000 \
        2> aligned/${sample}.log | \
    samtools view -@ 4 -bS -q 30 - | \
    samtools sort -@ 4 -o aligned/${sample}.bam
done

Read the full file on GitHub · 276 lines

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 · 276 lines · 59 tokens per session scan A e11cbb2261fd

Subscribe to this mod's changes

bio-workflows-chipseq-pipeline is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 2,520 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 2026-09-03.

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