gtars

gtars is a skill for Claude Code, Codex from synthetic-sciences/openscience. It costs 50 tokens per session (1,840 once invoked), scanned A, original, Apache-2.0.

A toolkit for working with genomic regions such as those stored in BED files. It can compare regions, measure coverage, retrieve reference sequences, and prepare genomic data for machine-learning models.

In plain words
What is it for?
Use it to detect overlaps, create coverage tracks, analyze single-cell fragments, validate reference sequences, or tokenize genomic regions.
Why use it?
It provides one place for common genome-interval operations that can become slow or repetitive in large datasets.

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 detect overlaps, create coverage tracks, analyze single-cell fragments, validate reference sequences, or tokenize genomic regions.

Compare 6 skills from other repositories ↓
About the project

synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.

synthetic-sciences/openscience · 4,121 stars · on GitHub · openscience.sh

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/synthetic-sciences/openscience
agentmods
npx agentmods add skills/synthetic-sciences/openscience/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/synthetic-sciences/openscience/gtars/github.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/gtars)
Your own site
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/gtars"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/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/synthetic-sciences/openscience/gtars"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/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 1,840 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00050 $0.01840
Opus 5.5 $0.00020 $0.00736
Sonnet 5.5 $0.00010 $0.00368
Haiku 4.5 $0.00005 $0.00184

Measured 1mo ago against content hash fbaceb2327ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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

Copies of this mod

8 near-identical copies found in the catalogue:

  • gtars — 100% identical, 11 lines differ
  • gtars — 100% identical, 11 lines differ
  • gtars — 100% identical, 11 lines differ
  • gtars — 100% identical, 11 lines differ
  • gtars — 98% identical, 12 lines differ
  • gtars — 98% identical, 12 lines differ
  • gtars — 98% identical, 12 lines differ
  • gtars — 98% identical, 12 lines differ
backend/cli/skills/coding/gtars/SKILL.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 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 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 · 291 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. 1mo ago Changed · +6 lines fbaceb2327ae
  2. 1mo ago First seen · 285 lines · 50 tokens per session scan A b432211c0f26

Subscribe to this mod's changes

gtars is a skill published in the GitHub repository synthetic-sciences/openscience (4,121 stars, last pushed 2d ago), licensed Apache-2.0. It adds 50 tokens to every session and 1,840 once invoked, about $0.0002 per session on Opus 5.5. 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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