pysam

pysam is a skill for Claude Code, Codex from AndyZhuang/Opentest. It costs 47 tokens per session (2,469 once invoked), scanned A, a copy of pysam, MIT.

A Python toolkit for reading, changing, and writing common genomics files, including sequencing alignments, genetic variants, and DNA sequences.

In plain words
What is it for?
Use it in bioinformatics pipelines to process SAM, BAM, CRAM, VCF, BCF, FASTA, and FASTQ files, extract genomic regions, query indexed data, calculate coverage, and run samtools or bcftools commands.
Why use it?
It provides one programmable interface for common file operations and genomic queries instead of requiring separate manual tools for each format.

Skill for Claude CodeCodex

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

Good fit Use it in bioinformatics pipelines to process SAM, BAM, CRAM, VCF, BCF, FASTA, and FASTQ files, extract genomic regions, query indexed data, calculate coverage, and run samtools or bcftools commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andyzhuang/opentest/pysam
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 AndyZhuang/Opentest --skill pysam
Clone the repo
git clone --depth 1 https://github.com/AndyZhuang/Opentest

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 pysam

README.md
[![agentmods](https://agentmods.dev/badge/skills/andyzhuang/opentest/pysam/github.svg)](https://agentmods.dev/skills/andyzhuang/opentest/pysam)
Your own site
<a href="https://agentmods.dev/skills/andyzhuang/opentest/pysam"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/pysam/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 pysam

Your own site · 80×15
<a href="https://agentmods.dev/skills/andyzhuang/opentest/pysam"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/pysam.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,469 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod 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 $0.00047 $0.02469
Opus 5 $0.00023 $0.01234
Sonnet 5 $0.00009 $0.00494
Haiku 4.5 $0.00005 $0.00247

Measured 10d ago against content hash 9f06b4b3df4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pysam scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Without an index, use `fetch(until_eof=True)` for sequential reading.
Origin

This is a copy

97% identical to pysam — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/labclaw/bio/pysam/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pysam

Overview

Pysam is a Python module for reading, manipulating, and writing genomic datasets. Read/write SAM/BAM/CRAM alignment files, VCF/BCF variant files, and FASTA/FASTQ sequences with a Pythonic interface to htslib. Query tabix-indexed files, perform pileup analysis for coverage, and execute samtools/bcftools commands.

When to Use This Skill

This skill should be used when:

  • Working with sequencing alignment files (BAM/CRAM)
  • Analyzing genetic variants (VCF/BCF)
  • Extracting reference sequences or gene regions
  • Processing raw sequencing data (FASTQ)
  • Calculating coverage or read depth
  • Implementing bioinformatics analysis pipelines
  • Quality control of sequencing data
  • Variant calling and annotation workflows

Quick Start

Installation

uv pip install pysam

Basic Examples

Read alignment file:

import pysam

# Open BAM file and fetch reads in region
samfile = pysam.AlignmentFile("example.bam", "rb")
for read in samfile.fetch("chr1", 1000, 2000):
    print(f"{read.query_name}: {read.reference_start}")
samfile.close()

Read variant file:

# Open VCF file and iterate variants
vcf = pysam.VariantFile("variants.vcf")
for variant in vcf:
    print(f"{variant.chrom}:{variant.pos} {variant.ref}>{variant.alts}")
vcf.close()

Query reference sequence:

# Open FASTA and extract sequence
fasta = pysam.FastaFile("reference.fasta")
sequence = fasta.fetch("chr1", 1000, 2000)
print(sequence)
fasta.close()

Core Capabilities

1. Alignment File Operations (SAM/BAM/CRAM)

Use the AlignmentFile class to work with aligned sequencing reads. This is appropriate for analyzing mapping results, calculating coverage, extracting reads, or quality control.

Common operations:

  • Open and read BAM/SAM/CRAM files
  • Fetch reads from specific genomic regions
  • Filter reads by mapping quality, flags, or other criteria
  • Write filtered or modified alignments
  • Calculate coverage statistics
  • Perform pileup analysis (base-by-base coverage)
  • Access read sequences, quality scores, and alignment information

Read the full file on GitHub · 265 lines

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. 10d ago First seen · 265 lines · 47 tokens per session scan A 9f06b4b3df4a

Subscribe to this mod's changes

pysam is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 47 tokens to every session and 2,469 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to pysam, differing in 6 lines, and is treated as a copy.

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