gtars SKILL.md skillA

gtars from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add marielynneblock/arcanum-artifex/gtars@git:20260710.0115f49

Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
marielynneblock/arcanum-artifex
Path
skills/scientific/gtars/SKILL.md
Versions recorded
4
Latest version
git:20260710.0115f49, committed Jul 10, 2026
First version recorded
Apr 6, 2026
Size
7,805 bytes
Repository stars
4
License
none declared

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Gtars: Genomic Tools and Algorithms in Rust

## Overview

Gtars is a high-performance Rust toolkit for manipulating, analysing, and processing genomic interval data. It provides specialised 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:

```bash
uv uv pip install gtars
```

### CLI Installation

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

```bash
# 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:

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

## Core Capabilities
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add marielynneblock/arcanum-artifex/gtars@sha256:a00ec94459a80317

The line at the top of this page pins the label git:20260710.0115f49, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_iyjr5zk27s5d2nz4.svg)](https://markdownregistry.com/a/art_iyjr5zk27s5d2nz4)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 32 days.

versioncommittedcommitsizeaudit
git:20260710.0115f49 latest2026-07-10 0115f49 7,805 BA view · diff
git:20260710.ffb34002026-07-10 ffb3400 7,805 BA view · diff
git:20260515.b861afb2026-05-15 b861afb 7,805 BA view · diff
git:20260406.05dff342026-04-06 05dff34 7,806 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7805 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_iyjr5zk27s5d2nz4
GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/gtars
GET https://markdownregistry.com/api/v1/blob/a00ec94459a80317cce6aee3a8567ce25d288c36d18622c8bd43f7b8bc7e74dd

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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