pysam

pysam is a skill for Claude Code, Codex from crazymsn/academic-skills. It costs 47 tokens per session (2,298 once invoked), scanned A, a copy of pysam, MIT.

A Python module for reading, writing, and analyzing common genomic sequencing files, including alignment, variant, and DNA-sequence files.

In plain words
What is it for?
Use it to extract genomic regions, inspect sequencing reads and variants, calculate coverage, and build next-generation sequencing pipelines.
Why use it?
It gives Python code direct access to formats such as BAM, CRAM, VCF, FASTA, and FASTQ instead of requiring manual file parsing.

Skill for Claude CodeCodex

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

Good fit Use it to extract genomic regions, inspect sequencing reads and variants, calculate coverage, and build next-generation sequencing pipelines.

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

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/crazymsn/academic-skills/pysam/github.svg)](https://agentmods.dev/skills/crazymsn/academic-skills/pysam)
Your own site
<a href="https://agentmods.dev/skills/crazymsn/academic-skills/pysam"><img src="https://agentmods.dev/badge/skills/crazymsn/academic-skills/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/crazymsn/academic-skills/pysam"><img src="https://agentmods.dev/badge/skills/crazymsn/academic-skills/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 2,298 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 95% 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 $0.02298
Opus 5 $0.00023 $0.01149
Sonnet 5 $0.00009 $0.00460
Haiku 4.5 $0.00005 $0.00230

Measured 9d ago against content hash 692e39ac9302, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 9d 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

95% identical to pysam — 3 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.

academic-skills/pysam/SKILL.md · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 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 · 262 lines

Files

What ships with it

4 files 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. 9d ago First seen · 262 lines · 47 tokens per session scan A 692e39ac9302

Subscribe to this mod's changes

pysam is a skill published in the GitHub repository crazymsn/academic-skills (22 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 2,298 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 95% identical to pysam, differing in 3 lines, and is treated as a copy.

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