Agent skill · research science · k-dense-ai
gtars
Use Gtars for local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and the CLI.
Why this skill is useful
Provides domain-specific commands and workflows for genomic interval modeling that the AI wouldn't reliably generate on its own.
What it needs
Requires python, rust installed locally. About 7k tokens when loaded. Last updated 2026-08-03. 32,849 stars on the source repository.
What this skill does
Gtars Gtars provides native Rust implementations, Python bindings, and a feature-gated gtars binary for genomic interval and reference-sequence work. Start with the bundled local inspectors; call upstream code only after the data contract, provenance, resource bounds, and side effects are explicit. Verified snapshot (2026-07-23) Python: gtars==0.9.2, released 2026-06-17, Requires-Python >=3.10. Rust meta-crate: gtars=0.9.0, released 2026-06-15. Its default feature set is empty. CLI crate/binary: gtars-cli=0.9.0; the installed binary is named gtars. Direct refget crate: gtars-refget=0.9.1, released 2026-06-17. gtars=0.9.0 itself pins its component release set, which includes refget 0.9.0. Upstream intentionally versions workspace crates, Python bindings, and CLI independently. Do not assume matching numbers mean matching artifacts. The published docs changelog stops at 0.5.1. API examples here were checked against the 0.9.2 Python stubs/runtime and the v0.9.0 CLI/Rust source. The license: MIT field covers this skill. Published gtars crates declare MIT, while the GitHub repository currently displays BSD-2-Clause at the root; verify the exact artifact's license before redistribution. Native-code trust gate and exact pins The Python wheel contains a PyO3 native extension. Cargo installation compiles a native binary and can run dependency build scripts. Treat either path as code execution: 1. Confirm the official PyPI/crates.io/GitHub owner and immutable version. 2. Review filenames, platform tags, release provenance, license, and SHA-256. GitHub's v0.9.0 binary release includes per-archive .sha256 sidecars. 3. Never run an untrusted prebuilt binary, wheel, source tree, Cargo build script, or archive installer. Use isolation and CPU/RAM/disk/time limits. 4. Keep a lockfile and artifact hashes with the analysis manifest. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills k-dense-ai/gtars