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.
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-gtarsgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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.
[](https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-gtars)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-gtars"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-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.
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-gtars"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-gtars.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00132 | $0.02573 |
| Opus 5 | $0.00066 | $0.01287 |
| Sonnet 5 | $0.00026 | $0.00515 |
| Haiku 4.5 | $0.00013 | $0.00257 |
Grade A, and why
alterlab-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 268 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 (from databio, the lab behind geniml) is a high-performance Rust toolkit for manipulating, analyzing, and processing genomic interval data. Its primary purpose is to be the performance-critical backend for geniml, a Python library for machine learning on genomic intervals. It provides overlap/set operations, IGD overlap indexing, coverage (uniwig) tracks, region tokenization for ML, single-cell fragment pseudobulking, and GA4GH refget sequence-collection management.
Use this skill when working with:
- Genomic interval files (BED) — overlaps, jaccard, set ops, coverage
- IGD indexing for fast overlap queries over large interval databases
- Coverage / accumulation tracks via uniwig
- Genomic ML preprocessing and region tokenization
- Single-cell fragment files (split into pseudobulks by cluster)
- Reference sequence digests and retrieval (refget)
Version note: examples are verified against the
gtarsPython package v0.8 (PyPI). The Python API is exposed through submodules —gtars.models,gtars.tokenizers,gtars.refget,gtars.utils— NOT as flat top-level functions. There is nogtars.igdorgtars.uniwigPython submodule; IGD building and uniwig track generation are CLI-only.
Installation
Python package
uv pip install gtars # or: uv add gtars
Import surface (verified, v0.8):
from gtars.models import RegionSet, Region, RegionSetList
from gtars.tokenizers import Tokenizer, tokenize_fragment_file
from gtars import refget # RefgetStore, digest_fasta, sha512t24u_digest, ...
from gtars import utils # read/write .gtok token files
CLI (separate Rust binary)
The CLI ships as the gtars-cli crate (binary name gtars) and is installed with Cargo. Most subcommands are behind feature flags:
# All commonly used commands
cargo install gtars-cli --features "uniwig overlaprs igd bbcache scoring fragsplit genomicdist"
# Or a subset
cargo install gtars-cli --features "uniwig igd"
What ships with it
7 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.
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.
- 6d ago First seen · 268 lines · 132 tokens per session scan A 61aebf9e164f
alterlab-gtars is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 7d ago), licensed MIT. It adds 132 tokens to every session and 2,573 once invoked, about $0.0007 per session on Opus 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 2026-09-05.
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