Skills Agentes

Gtars

Usa Gtars para modelos de intervalos genómicos locales: álgebra de conjuntos, solapamientos y conteos, consenso y cobertura, tokenización, procesamiento de fragmentos y planificación refget/BEDbase en Python, Rust y la CLI.

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Estrellas
34.8k

en todo el repo

Actividad
59

0–100, la ruta de este skill

Actualizado
el mes pasado

último commit aquí

Commits
4

últimos 90 días

Contexto
3.1k tok

51 tok en reposo

Paquete
15 archivos

133 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add K-Dense-AI/scientific-agent-skills --skill gtars --agent claude-code

Se instala solo en este repositorio.

Qué hace

  • Valida coordenadas BED, ensamblaje y contigs antes de cualquier operación genómica
  • Ejecuta álgebra de conjuntos de intervalos (reduce, setdiff, overlap, coverage) vía Python, Rust o el binario `gtars`
  • Genera tokenizadores y fragmentos para modelos genómicos, con controles de red explícitos
  • Aplica un flujo de instalación con verificación de hash y aislamiento para el código nativo (wheel/crate)
  • Incluye CLIs locales deterministas (`bed_validator.py`, `coverage_preflight.py`, etc.) sin necesidad de red

Úsalo cuando

  • Trabajas con intervalos genómicos BED y necesitas álgebra de conjuntos, solapamientos o cobertura
  • Necesitas tokenizar regiones genómicas o generar consenso a partir de fragmentos
  • Vas a instalar o fijar la versión de la librería nativa `gtars` (Python, Rust o CLI) de forma segura
  • Necesitas planificar accesos a refget o BEDbase con aprobación de red explícita

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Valida este archivo BED antes de calcular solapamientos con gtars
    • Instala gtars de forma segura y verificada
    • Calcula la cobertura entre estas dos regiones genómicas
    • Tokeniza este universo de regiones con gtars

    SKILL.md

    En inglés

    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;
    • 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

    Reproducido de K-Dense-AI/scientific-agent-skills bajo licencia MIT. Leer esta página en markdown.

    Archivos

    15 archivos en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Antes de instalar

    Requiere Python 3.10+ con gtars 0.9.2, o un toolchain Rust con Edition 2024 para el crate/CLI 0.9.0; refget/BEDbase necesitan aprobación de red explícita.

    Necesita en el PATH:python3

    Detalles

    Creador
    K-Dense-AI
    Licencia
    MIT
    Recursos incluidos
    scripts en python + referencias
    Código fuente
    Ver SKILL.md

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