bio-workflows-longread-sv-pipeline

bio-workflows-longread-sv-pipeline is a skill for Claude Code, Codex from thesecondfox/skill. It costs 55 tokens per session (2,019 once invoked), scanned A, original, MIT.

A workflow for finding structural variants—large DNA changes such as insertions, deletions, and rearrangements—from long-read sequencing data produced by ONT or PacBio.

In plain words
What is it for?
Use it to process long reads, call structural variants with Sniffles2 or cuteSV, merge results, annotate them, and produce a filtered VCF file.
Why use it?
It brings read quality checks, alignment, variant calling, filtering, and optional annotation together instead of requiring separate commands and file handling.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to process long reads, call structural variants with Sniffles2 or cuteSV, merge results, annotate them, and produce a filtered VCF file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thesecondfox/skill/bio-workflows-longread-sv-pipeline
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-longread-sv-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.

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README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-workflows-longread-sv-pipeline"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-workflows-longread-sv-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,019 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 $0.00055 $0.02019
Opus 5 $0.00028 $0.01009
Sonnet 5 $0.00011 $0.00404
Haiku 4.5 $0.00006 $0.00202

Measured 5d ago against content hash 4825c827c44d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

bio-workflows-longread-sv-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 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-longread-sv-pipeline/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Version Compatibility

Reference examples tested with: bcftools 1.19+, minimap2 2.26+, 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.

Long-Read SV Pipeline

"Detect structural variants from my long-read sequencing data" → Orchestrate minimap2 alignment, SV calling (Sniffles2/cuteSV), VCF merging across callers, annotation (AnnotSV), and visualization for ONT or PacBio data.

Complete workflow for detecting structural variants from ONT or PacBio long-read data.

Workflow Overview

Long reads (ONT/PacBio)
    |
    v
[1. QC] ----------------> NanoPlot
    |
    v
[2. Alignment] ---------> minimap2
    |
    v
[3. SV Calling] --------> Sniffles / cuteSV
    |
    v
[4. Filtering] ---------> bcftools
    |
    v
[5. Annotation] --------> AnnotSV (optional)
    |
    v
Filtered SV VCF

Primary Path: minimap2 + Sniffles

Step 1: Quality Control

# ONT reads QC
NanoPlot --fastq reads.fastq.gz \
    --outdir nanoplot_output \
    --threads 8

# Check key metrics
# - Read N50 should be >10kb
# - Mean quality >Q10
# - Total bases sufficient for coverage

Step 2: Alignment with minimap2

# ONT reads
minimap2 -ax map-ont \
    -t 16 \
    --MD \
    -Y \
    reference.fa \
    reads.fastq.gz | \
    samtools sort -@ 4 -o aligned.bam

samtools index aligned.bam

# PacBio HiFi
minimap2 -ax map-hifi \
    -t 16 \
    --MD \
    -Y \
    reference.fa \
    reads.fastq.gz | \
    samtools sort -@ 4 -o aligned.bam

# PacBio CLR
minimap2 -ax map-pb \
    -t 16 \
    --MD \
    -Y \
    reference.fa \
    reads.fastq.gz | \
    samtools sort -@ 4 -o aligned.bam

QC Checkpoint: Check alignment stats

samtools flagstat aligned.bam
samtools depth -a aligned.bam | awk '{sum+=$3} END {print "Average coverage:",sum/NR}'
  • Mapping rate >90%
  • Average coverage >10x for SV calling (>20x preferred)

Read the full file on GitHub · 274 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 · 274 lines · 55 tokens per session scan A 4825c827c44d

Subscribe to this mod's changes

bio-workflows-longread-sv-pipeline is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 2,019 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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