gtars SKILL.md skillA
gtars from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/gtars@git:20260528.3e3f998Pins git:20260528.3e3f998 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/genomics-bioinformatics/interval-ops/gtars/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260528.3e3f998, committed May 28, 2026
- Size
- 16,638 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Rust-backed Python library for fast genomic token arithmetic and BED processing. High-performance BED I/O, interval set ops (intersect, merge, complement, subtract), region tokenization against a universe, universe construction. Use for preprocessing large BED collections and ML token vocabularies.
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: Fast Genomic Token Arithmetic and BED File Processing ## Overview GTARS is a Python library with a Rust-backed core for high-performance genomic interval operations. It provides BED file I/O, set-theoretic interval operations (intersection, union, merge, complement, subtract), genomic region tokenization against a reference universe, and utilities for building consensus universe BED files. GTARS is designed for workflows that process hundreds to thousands of BED files efficiently, serving as a preprocessing engine for ML pipelines (including geniml) and general bioinformatics pipelines. ## When to Use - Read and write large BED files efficiently, leveraging Rust-backed parsing for speed over pure Python alternatives - Compute genomic interval intersections, merges, complements, or subtracts between BED file pairs or sets - Tokenize a collection of genomic regions against a fixed universe vocabulary for ML input preparation - Build consensus universe BED files from a collection of sample BED files - Count overlap statistics between two BED files without launching bedtools processes …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/gtars@sha256:d86f15aeefc3675cThe line at the top of this page pins the label git:20260528.3e3f998, 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.
[](https://markdownregistry.com/a/art_ce3zsbblsdgivdam)
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Versions
The registry has recorded 1 version of this file, committed on May 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16638 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
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ce3zsbblsdgivdam GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/gtars GET https://markdownregistry.com/api/v1/blob/d86f15aeefc3675c11724390a042440f993a06d65fcf9199c257e2141693bdcd
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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