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 agentmods add skills/thesecondfox/skill/bio-workflows-chipseq-pipelinenpx skills add thesecondfox/skill --skill bio-workflows-chipseq-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-chipseq-pipeline)<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>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 | $0.00059 | $0.02520 |
| Opus 5 | $0.00030 | $0.01260 |
| Sonnet 5 | $0.00012 | $0.00504 |
| Haiku 4.5 | $0.00006 | $0.00252 |
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.
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_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.
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
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.
- 2d ago First seen · 276 lines · 59 tokens per session scan A e11cbb2261fd
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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