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.
npx skills add K-Dense-AI/scientific-agent-skills --skill gtars --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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`](https://pypi.org/project/gtars/), released 2026-06-17, `Requires-Python >=3.10`. - Rust meta-crate: [`gtars=0.9.0`](https://crates.io/crates/gtars), released 2026-06-15. Its default feature set is empty. - CLI crate/binary: [`gtars-cli=0.9.0`](https://crates.io/crates/gtars-cli); the installed binary is named `gtars`. - Direct refget crate: [`gtars-refget=0.9.1`](https://crates.io/crates/gtars-refget), 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 co
- Verified snapshot (2026-07-23)
- Native-code trust gate and exact pins
- Genomic data contract
- Safe local workflow
- Current Python core
- Tokenizers, fragments, and reference stores
- Network and cache gate
- Sensitive metadata and leakage
- Bundled deterministic CLIs
- Migration traps removed in 1.1
- Bundled references
uv venv --python 3.11 .venv-gtars uv pip install --dry-run --python .venv-gtars/bin/python "gtars==0.9.2" uv pip install --python .venv-gtars/bin/python "gtars==0.9.2" cargo install gtars-cli --version 0.9.0 --locked gtars --version gtars --help python3 -B scripts/bed_validator.py \ python3 -B scripts/bed_validator.py --help python3 -B scripts/execution_plan.py --help python3 -B scripts/tokenizer_manifest.py --help
What does the gtars skill do?
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.
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill gtars --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.