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.
npx skills add thesecondfox/skill --skill bio-workflows-atacseq-pipelinegit clone --depth 1 https://github.com/thesecondfox/skillWrote 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.
[](https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-atacseq-pipeline)<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-atacseq-pipeline"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-atacseq-pipeline.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.03157 |
| Opus 5 | $0.00034 | $0.01579 |
| Sonnet 5 | $0.00014 | $0.00631 |
| Haiku 4.5 | $0.00007 | $0.00316 |
Grade A, and why
bio-workflows-atacseq-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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 356 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+, deepTools 3.5+, fastp 0.23+, samtools 1.19+
Before using code patterns, verify installed versions match. If versions differ:
- R:
packageVersion('<pkg>')then?function_nameto verify parameters - CLI:
<tool> --versionthen<tool> --helpto 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.
ATAC-seq Pipeline
"Run end-to-end ATAC-seq analysis from FASTQ to differential accessibility" → Orchestrate QC, Bowtie2 alignment, MACS3 peak calling, FRiP/TSS enrichment QC, differential accessibility, and optional TOBIAS footprinting.
Complete workflow from raw ATAC-seq FASTQ files to accessibility peaks, differential analysis, and TF footprinting.
Workflow Overview
FASTQ files
|
v
[1. QC & Trimming] -----> fastp (Nextera adapters)
|
v
[2. Alignment] ---------> Bowtie2
|
v
[3. BAM Processing] ----> filter, shift, dedup
|
v
[4. Peak Calling] ------> MACS3
|
v
[5. QC] ----------------> TSS enrichment, FRiP, fragment size
|
v
[6. Differential] ------> DiffBind (optional)
|
v
[7. Footprinting] ------> TOBIAS (optional)
|
v
Accessibility peaks + TF activity
Primary Path: Bowtie2 + MACS3
Step 1: Quality Control with fastp
# ATAC-seq uses Nextera adapters
NEXTERA_R1="CTGTCTCTTATACACATCT"
NEXTERA_R2="CTGTCTCTTATACACATCT"
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 \
--adapter_sequence ${NEXTERA_R1} \
--adapter_sequence_r2 ${NEXTERA_R2} \
--qualified_quality_phred 20 \
--length_required 25 \
--html qc/${sample}_fastp.html
done
Step 2: Alignment with Bowtie2
# Build index (once)
bowtie2-build genome.fa bt2_index/genome
# Align with ATAC-seq specific settings
for sample in sample1 sample2 sample3; do
bowtie2 -p 8 -x bt2_index/genome \
-1 trimmed/${sample}_R1.fq.gz \
-2 trimmed/${sample}_R2.fq.gz \
--very-sensitive \
--no-mixed --no-discordant \
-X 2000 \
2> aligned/${sample}.log | \
samtools view -@ 4 -bS -q 30 -f 2 - | \
samtools sort -@ 4 -o aligned/${sample}.bam
done
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.
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.
- 3d ago First seen · 356 lines · 68 tokens per session scan A 415472c6af17
bio-workflows-atacseq-pipeline is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 68 tokens to every session and 3,157 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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