gtars

gtars is a skill for Claude Code, Codex from Lord1Egypt/scientific-agent-toolkit. It costs 50 tokens per session (1,768 once invoked), scanned A, a copy of gtars, MIT.

A Rust toolkit with Python bindings for genomic interval analysis. Genomic intervals are regions on DNA, commonly stored in BED files, and can represent genes, mutations, or other locations.

In plain words
What is it for?
Use it to compare genomic regions, create coverage tracks, retrieve and validate reference sequences, split single-cell genomics fragments, and tokenize genomic data for machine learning.
Why use it?
Genomic datasets often require repeated overlap, coverage, and region-processing operations. The toolkit provides these operations along with preparation tools for machine-learning data.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is gtars fragsplit cluster-split --input fragments.tsv --clusters clusters.txt --output-dir ./by_cluster/.

Good fit Use it to compare genomic regions, create coverage tracks, retrieve and validate reference sequences, split single-cell genomics fragments, and tokenize genomic data for machine learning.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Lord1Egypt/scientific-agent-toolkit
agentmods
npx agentmods add skills/lord1egypt/scientific-agent-toolkit/gtars

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 gtars

README.md
[![agentmods](https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/gtars/github.svg)](https://agentmods.dev/skills/lord1egypt/scientific-agent-toolkit/gtars)
Your own site
<a href="https://agentmods.dev/skills/lord1egypt/scientific-agent-toolkit/gtars"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/gtars/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 gtars

Your own site · 80×15
<a href="https://agentmods.dev/skills/lord1egypt/scientific-agent-toolkit/gtars"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/gtars.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,768 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 100% 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 $0.00050 $0.01768
Opus 5 $0.00025 $0.00884
Sonnet 5 $0.00010 $0.00354
Haiku 4.5 $0.00005 $0.00177

Measured 10d ago against content hash 24577002626f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gtars 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 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.

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.

Origin

This is a copy

100% identical to gtars — 5 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.

scientific-skills/gtars/SKILL.md · 284 lines

How it starts

The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gtars: Genomic Tools and Algorithms in Rust

Overview

Gtars is a high-performance Rust toolkit for manipulating, analyzing, and processing genomic interval data. It provides specialized tools for overlap detection, coverage analysis, tokenization for machine learning, and reference sequence management.

Use this skill when working with:

  • Genomic interval files (BED format)
  • Overlap detection between genomic regions
  • Coverage track generation (WIG, BigWig)
  • Genomic ML preprocessing and tokenization
  • Fragment analysis in single-cell genomics
  • Reference sequence retrieval and validation

Installation

Python Installation

Install gtars Python bindings:

uv pip install gtars

CLI Installation

Install command-line tools (requires Rust/Cargo):

# Install with all features
cargo install gtars-cli --features "uniwig overlaprs igd bbcache scoring fragsplit"

# Or install specific features only
cargo install gtars-cli --features "uniwig overlaprs"

Rust Library

Add to Cargo.toml for Rust projects:

[dependencies]
gtars = { version = "0.1", features = ["tokenizers", "overlaprs"] }

Core Capabilities

Gtars is organized into specialized modules, each focused on specific genomic analysis tasks:

1. Overlap Detection and IGD Indexing

Efficiently detect overlaps between genomic intervals using the Integrated Genome Database (IGD) data structure.

When to use:

  • Finding overlapping regulatory elements
  • Variant annotation
  • Comparing ChIP-seq peaks
  • Identifying shared genomic features

Quick example:

import gtars

# Build IGD index and query overlaps
igd = gtars.igd.build_index("regions.bed")
overlaps = igd.query("chr1", 1000, 2000)

See references/overlap.md for comprehensive overlap detection documentation.

2. Coverage Track Generation

Generate coverage tracks from sequencing data with the uniwig module.

When to use:

  • ATAC-seq accessibility profiles
  • ChIP-seq coverage visualization
  • RNA-seq read coverage
  • Differential coverage analysis

Read the full file on GitHub · 284 lines

Files

What ships with it

6 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. 10d ago First seen · 284 lines · 50 tokens per session scan A 24577002626f

Subscribe to this mod's changes

gtars is a skill published in the GitHub repository Lord1Egypt/scientific-agent-toolkit (3 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 1,768 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gtars, differing in 5 lines, and is treated as a copy.

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