gtars
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Supports 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.
- Package
- 15 files, 146 KB
- SKILL.md
- 1784 words, 12+ sections
- Code
- Python (8)
- Allowed tools
ReadWriteEditBashGlob- License
- MIT
- Compatibility
- Python bindings require Python 3.10+ and gtars 0.10.0. The Rust meta-crate and gtars-cli are 0.10.0 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.
SKILL.md covers: Gtars · Verified snapshot (2026-10-01) · Native-code trust gate and exact pins · Genomic data contract · Safe local workflow · Current Python core · rows: [{"chr": ..., "start": ..., "end": ..., "count": ...}, ...] · Tokenizers, fragments, and reference stores · Network and cache gate · Sensitive metadata and leakage · Bundled deterministic CLIs · Migration traps removed in 1.1
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 15 KB |
references/cli.md | doc | 12 KB |
references/coverage.md | doc | 7.7 KB |
references/overlap.md | doc | 7.7 KB |
references/python-api.md | doc | 10 KB |
references/refget.md | doc | 14 KB |
references/tokenizers.md | doc | 8.7 KB |
scripts/__init__.py | script | 57 B |
scripts/_common.py | script | 15 KB |
scripts/artifact_inspector.py | script | 11 KB |
scripts/bed_validator.py | script | 5.3 KB |
scripts/coverage_preflight.py | script | 8.3 KB |
scripts/execution_plan.py | script | 13 KB |
scripts/refget_digest_plan.py | script | 11 KB |
scripts/tokenizer_manifest.py | script | 8.4 KB |
External hosts referenced
github.com docs.bedbase.org crates.io api.bedbase.org arxiv.org ga4gh.github.io genome.ucsc.edu pypi.org docs.rs doi.org export.arxiv.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
BBCLIENT_CACHE BEDBASE_API
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-gtars-scan.json
- Badge for your README:
- Request a re-scan