bio-workflows-fastq-to-variants

bio-workflows-fastq-to-variants is a skill for Claude Code, Codex from thesecondfox/skill. It costs 59 tokens per session (3,333 once invoked), scanned A, original, MIT.

An end-to-end DNA sequencing workflow that turns raw FASTQ reads into filtered variant calls. FASTQ files contain the sequencing reads and their quality scores.

In plain words
What is it for?
Use it for whole-genome or exome data to align reads, mark duplicates, call variants with bcftools or GATK, and produce a filtered VCF file.
Why use it?
It organizes read quality control, alignment, BAM processing, variant calling, and filtering into a repeatable path.

Skill for Claude CodeCodex

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

Good fit Use it for whole-genome or exome data to align reads, mark duplicates, call variants with bcftools or GATK, and produce a filtered VCF file.

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Install with agentmods
npx agentmods add skills/thesecondfox/skill/bio-workflows-fastq-to-variants
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 thesecondfox/skill --skill bio-workflows-fastq-to-variants
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-fastq-to-variants

README.md
[![agentmods](https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-fastq-to-variants/github.svg)](https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-fastq-to-variants)
Your own site
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-fastq-to-variants"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-fastq-to-variants/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 bio-workflows-fastq-to-variants

Your own site · 80×15
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-fastq-to-variants"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-fastq-to-variants.svg" alt="Reviewed on agentmods" width="80" 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 3,333 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 $0.00059 $0.03333
Opus 5 $0.00030 $0.01666
Sonnet 5 $0.00012 $0.00667
Haiku 4.5 $0.00006 $0.00333

Measured 5d ago against content hash 663870e2cd64, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bio-workflows-fastq-to-variants 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 5d 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-fastq-to-variants/SKILL.md · 367 lines

How it starts

The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Version Compatibility

Reference examples tested with: BWA-MEM2 2.2.1+, Ensembl VEP 111+, GATK 4.5+, bcftools 1.19+, fastp 0.23+, samtools 1.19+

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

  • 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.

FASTQ to Variants Workflow

"Call variants from my whole-genome or exome FASTQ files" → Orchestrate fastp QC, BWA-MEM2 alignment, duplicate marking, BQSR, GATK HaplotypeCaller variant calling, and VQSR/hard filtering to produce filtered VCF output.

Complete pipeline from raw DNA sequencing FASTQ files to filtered variant calls.

Workflow Overview

FASTQ files
    |
    v
[1. QC & Trimming] -----> fastp
    |
    v
[2. Alignment] ---------> bwa-mem2
    |
    v
[3. BAM Processing] ----> sort, markdup, index
    |
    v
[4. Variant Calling] ---> bcftools (primary) or GATK
    |
    v
[5. Filtering] ---------> Quality filters
    |
    v
Filtered VCF

Primary Path: BWA + bcftools

Step 1: Quality Control with fastp

# Single sample
fastp -i sample_R1.fastq.gz -I sample_R2.fastq.gz \
    -o sample_R1.trimmed.fq.gz -O sample_R2.trimmed.fq.gz \
    --detect_adapter_for_pe \
    --qualified_quality_phred 20 \
    --length_required 50 \
    --html sample_fastp.html

# Batch processing
for sample in sample1 sample2 sample3; do
    fastp -i ${sample}_R1.fastq.gz -I ${sample}_R2.fastq.gz \
        -o trimmed/${sample}_R1.fq.gz -O trimmed/${sample}_R2.fq.gz \
        --detect_adapter_for_pe \
        --html qc/${sample}_fastp.html
done

QC Checkpoint 1: Check fastp reports

  • Q30 bases >85% (DNA typically higher quality than RNA)
  • Adapter content <1%
  • No unusual GC distribution

Step 2: BWA-MEM2 Alignment

# Index reference (once)
bwa-mem2 index reference.fa

# Align with read group info
for sample in sample1 sample2 sample3; do
    bwa-mem2 mem -t 8 \
        -R "@RG\tID:${sample}\tSM:${sample}\tPL:ILLUMINA\tLB:lib1" \
        reference.fa \
        trimmed/${sample}_R1.fq.gz \
        trimmed/${sample}_R2.fq.gz \
    | samtools view -bS - > aligned/${sample}.bam
done

Read the full file on GitHub · 367 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. 5d ago First seen · 367 lines · 59 tokens per session scan A 663870e2cd64

Subscribe to this mod's changes

bio-workflows-fastq-to-variants 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 3,333 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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