k-dense-ai/scientific-agent-skillsMIT15 files

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.

Specification
Skill ID
k-dense-ai/scientific-agent-skills/gtars
Publisher
k-dense-ai
Repository
scientific-agent-skills
Installs
0
Files
15
License
MIT
Requires
Python bindings require Python 3.10+ and gtars 0.9.2. The Rust meta-crate and gtars-cli are 0.9.0 and require a Rust toolchain supporting Edition 2024; upstream declares no rust-version. Bundled audit CLIs use only Python 3.10+ standard library and are local/network-free. Remote constructors, pretrained tokenizers, refget, and BEDbase caching require explicit network and storage approval.
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

k-dense-ai/scientific-agent-skills/gtarsInstalls these files
  • SKILL.md
  • references/cli.md
  • references/coverage.md
  • references/overlap.md
  • references/python-api.md
  • references/refget.md
  • references/tokenizers.md
  • scripts/__init__.py
  • scripts/_common.py
  • scripts/artifact_inspector.py
  • scripts/bed_validator.py
  • scripts/coverage_preflight.py
  • scripts/execution_plan.py
  • scripts/refget_digest_plan.py
  • scripts/tokenizer_manifest.py

What this skill tells the agent

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.

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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

  1. Inventory local files, checksums, assembly, contig dictionary, coordinate system, strand policy, patient/replicate groups, and intended outputs.
  2. Validate BED/fragments and estimate work. Pilot a small synthetic file.
  3. Choose Python, CLI, or Rust from the documented surface; do not translate API names by guesswork.
  4. Set hard limits for input bytes/records/files, threads/jobs, memory, temporary disk, output size, and wall time.
  5. Run in a dedicated output directory. Refuse collisions unless overwrite was explicitly approved.
  6. 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;

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