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High-performance toolkit for genomic interval analysis in Rust with Python bindings.
Passed 23 of 23 test cases with the skill, and 6 of 23 without it.
and 26 more in the full report
17 fixed6 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am building a Rust application that needs high-performance interval overlap and tokenization capabilities using Cargo. What dependency entry should I add to `Cargo.toml` to include version `0.1` of this genomic toolkit with the `tokenizers` and `overlaprs` features enabled?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies package dependency gtars with version 0.1 | Missed | Passed |
| Includes features = ["tokenizers", "overlaprs"] | Passed | Passed |
The instructions your model reads when the skill loads.
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:
Install gtars Python bindings:
uv pip install gtars
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"
Add to Cargo.toml for Rust projects:
test cases passed, vs 6 / 23 without
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