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Gtars

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.

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Install

one command, takes just this skill from the repository
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill gtars

The instruction itself

12 sections, as written by the author

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)

2026-06-17, Requires-Python >=3.10.

2026-06-15. Its default feature set is empty.

the installed binary is named gtars.

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:

  • Confirm the official PyPI/crates.io/GitHub owner and immutable version.
  • Review filenames, platform tags, release provenance, license, and SHA-256.

GitHub's v0.9.0 binary release includes per-archive .sha256 sidecars.

  • Never run an untrusted prebuilt binary, wheel, source tree, Cargo build script,

or archive installer. Use isolation and CPU/RAM/disk/time limits.

  • Keep a lockfile and artifact hashes with the analysis manifest.

After that review, create an isolated Python environment:

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"
.venv-gtars/bin/python -c \
  "import gtars; assert gtars.__version__ == '0.9.2'; print(gtars.__version__)"

For the reviewed CLI source release:

cargo install gtars-cli --version 0.9.0 --locked
gtars --version
gtars --help

For a Rust project, pin the wrapper exactly and enable only required features:

[dependencies]
gtars = { version = "=0.9.0", default-features = false, features = [
  "core", "overlaprs", "uniwig", "tokenizers", "refget"
] }

Use gtars-refget = "=0.9.1" directly only when the newer direct component API is

required and compatibility has been tested. Do not replace these pins with a Git

branch or an unreviewed release.

Genomic data contract

Apply this contract before every operation:

  • Coordinates: BED intervals are 0-based and half-open: [start, end).

Require 0 <= start < end <= contig_length. Gtars coordinates are u32, so

reject values above 4,294,967,295.

  • Assembly: record an assembly accession/version and the SHA-256 of the exact

chromosome-sizes or refget sequence-collection metadata. Never infer assembly

from filenames or chr prefixes.

  • Contigs: compare names exactly. 1 and chr1, alternate loci, decoys, and

mitochondrial aliases are not interchangeable. Rename or liftover only as a

separately reviewed transformation.

  • Sorting: preserve the original file, then sort a copy by chromosome-sizes

order and numeric start/end when the operation requires it. Python

RegionSet(path) currently sorts lexicographically by contig and start while

loading; do not rely on original row order afterward.

  • Strand: BED6 uses +, -, or .. Region.rest retains trailing BED

fields, but a file-backed Python RegionSet currently initializes its separate

strands vector to *. Several set operations drop strand. Preserve and

validate strand externally when it is scientifically meaningful.

  • Duplicates/adjacency: choose policies explicitly. reduce() and consensus

merge overlapping and adjacent intervals; ordinary half-open overlap does

not treat [0,10) and [10,20) as overlapping.

Run the local validator first:

python3 -B scripts/bed_validator.py \
  --input data.bed.gz \
  --assembly GRCh38.p14 \
  --chrom-sizes GRCh38.p14.chrom.sizes \
  --require-sorted

Safe local workflow

  • Inventory local files, checksums, assembly, contig dictionary, coordinate

system, strand policy, patient/replicate groups, and intended outputs.

  • Validate BED/fragments and estimate work. Pilot a small synthetic file.
  • Choose Python, CLI, or Rust from the documented surface; do not translate API

names by guesswork.

  • Set hard limits for input bytes/records/files, threads/jobs, memory, temporary

disk, output size, and wall time.

  • Run in a dedicated output directory. Refuse collisions unless overwrite was

explicitly approved.

  • Revalidate output sorting, bounds, row counts, checksums, and provenance.

Current Python core

Imports are from submodules, not the gtars top level:

from gtars.models import Region, RegionSet

query = RegionSet.from_regions(
    [
        Region(chr="chr1", start=100, end=200, rest=None),
        Region(chr="chr1", start=300, end=400, rest=None),
    ],
    strands=["+", "-"],
)
universe = RegionSet.from_vectors(
    ["chr1", "chr1"],
    [150, 500],
    [350, 600],
)

counts = query.count_overlaps(universe)       # one count per query region
flags = query.any_overlaps(universe)          # one bool per query region
indices = query.find_overlaps(universe)       # indices into universe
pieces = query.intersect_all(universe)        # all intersection fragments
fraction = query.coverage(universe)           # fraction of query bp covered

RegionSet.sort() mutates and returns None. Set algebra includes reduce,

setdiff, pintersect (pairs by index), concat, union, jaccard,

coverage, overlap_coefficient, intersect_all, closest, cluster, and

gaps. Read references/python-api.md before relying on ordering or strand.

Consensus is a Python binding in a different module:

from gtars.genomic_distributions import consensus

rows = consensus([query, universe])
# rows: [{"chr": ..., "start": ..., "end": ..., "count": ...}, ...]

Signal-track generation is not exposed as gtars.uniwig in Python 0.9.2;

use the reviewed CLI or Rust API. RegionSet.coverage() is a base-pair set metric,

not a WIG/bigWig generator.

Tokenizers, fragments, and reference stores

Use only local constructors by default:

from gtars.models import RegionSet
from gtars.tokenizers import Tokenizer

tokenizer = Tokenizer.from_bed("reviewed-universe.bed")
regions = RegionSet("local-query.bed")
tokens = tokenizer.tokenize(regions)
encoding = tokenizer(regions)
ids = encoding["input_ids"]

Tokenizer.from_pretrained(name) contacts Hugging Face and writes its cache when

the argument is not an existing local directory; it exposes no revision or cache

argument. Obtain explicit approval, fetch an immutable revision through a reviewed

mechanism, verify checksums, then pass the local snapshot directory. See

references/tokenizers.md.

For refget, prefer RefgetStore.in_memory() or RefgetStore.open_local(path).

open_remote(cache_path, remote_url) contacts a remote service, creates/uses a

local cache, and performs on-demand range reads. See references/refget.md.

Network and cache gate

No download or cache write is implicit in this skill. Before any network-capable

upstream call:

  • obtain explicit user approval for the exact host, endpoint, data, and cache;
  • allowlist HTTPS hosts and reject unreviewed redirects;
  • record immutable revision/identifier, retrieval time, expected SHA-256 and

domain digest, assembly accession, size quota, and provenance;

  • disclose sensitive BED coordinates, barcodes, sample labels, and reference

choices that could leave the approved environment;

  • validate downloaded content as untrusted before using it.

Important side effects:

  • RegionSet(path) has HTTP support; a nonexistent local string may be treated as

a URL. Check that the local path exists before construction.

  • Tokenizer.from_pretrained may download universe.bed.gz into the Hugging Face

cache.

  • RefgetStore.on_disk creates/writes a store. open_remote loads remote metadata

and enables persistence by default.

  • gtars bbcache creates cache directories even when constructing the client.

Cache/download commands use BBCLIENT_CACHE (default ~/.bbcache) and

BEDBASE_API (default https://api.bedbase.org).

Sensitive metadata and leakage

Genomic intervals, rare loci, barcodes, sample names, phenotypes, and assembly

choices can be identifying. Keep full paths and raw coordinates out of logs;

default bundled reports redact paths and emit only counts/checksums.

Freeze splits by patient/donor first, then keep all technical and biological

replicates in the same split. Fit consensus sets, universes, tokenizers, scaling,

thresholds, and QC rules on training data only. Do not create a universe from all

samples and then split: that leaks validation/test locus support. Record excluded

samples and replicate aggregation separately.

Bundled deterministic CLIs

All six helpers reject URLs, traversal, symlinks, and special files; apply byte,

record, file, coordinate, and worker caps; use no network or gtars import; and

write no output files. Plans contain fixed argv templates and never launch them.

python3 -B scripts/bed_validator.py --help
python3 -B scripts/execution_plan.py --help
python3 -B scripts/tokenizer_manifest.py --help
python3 -B scripts/refget_digest_plan.py --help
python3 -B scripts/coverage_preflight.py --help
python3 -B scripts/artifact_inspector.py --help

Run synthetic tests without bytecode:

PYTHONDONTWRITEBYTECODE=1 python3 -B -m unittest discover \
  -s tests/gtars -p 'test_*.py' -v

Migration traps removed in 1.1

Do not use stale examples containing gtars.RegionSet,

RegionSet.from_bed, TreeTokenizer, gtars.igd.build_index,

gtars.uniwig.coverage_from_bed, gtars.RefgetStore, global

set_option/set_log_level, parallel_apply, or invented exception classes.

CLI forms such as uniwig generate, igd build, scoring score, and

fragsplit cluster-split are also stale for 0.9.0.

Upstream's published docs and stubs have some drift (for example the older

GlobalRefgetStore tutorial and incomplete 0.9.2 stubs). Prefer installed

signature smoke tests plus immutable tagged source when they conflict.

Bundled references

These are the only six bundled references; all links are local and present:

  • references/python-api.md — exact Python 0.9.2 imports and behavior
  • references/overlap.md — overlap/count/set algebra and consensus semantics
  • references/coverage.md — uniwig, bigWig, coverage, sorting, and resources
  • references/tokenizers.md — tokenizer/universe and fragment compatibility
  • references/refget.md — digests, stores, BEDbase, network/cache controls
  • references/cli.md — CLI 0.9.0 commands, features, and migrations

How to use it

Copy the folder

Take k-dense-ai/gtars from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip, uv, cargo, go. Without those the skill loads but fails at the first command.