pytdc
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Provides Therapeutics Data Commons workflows through PyTDC for registry discovery, dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle scoring. Use when working with TDC therapeutic ML datasets or benchmarks.
- Package
- 11 files, 119 KB
- SKILL.md
- 1704 words, 12+ sections
- Code
- Python (6)
- Allowed tools
ReadWriteEditBash- License
- MIT
- Compatibility
- Requires uv, CPython 3.11, PyTDC 1.1.15, and setuptools 80.9.0 for its legacy pkg_resources runtime import. Network access and disk space are needed for dataset, benchmark, and checkpoint downloads; optional oracles require their service or docking dependencies.
SKILL.md covers: PyTDC (Therapeutics Data Commons) · Verified snapshot · Installation · Non-negotiable data and network policy · Cache and cost behavior · Start with metadata-only discovery · Dataset workflow · split keys are: train, valid, test · Split selection without overclaiming leakage control · Evaluators · Benchmark groups · Run only after approval: construction may download the group archive.
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 14 KB |
references/datasets.md | doc | 10 KB |
references/oracles.md | doc | 9.9 KB |
references/sources.md | doc | 14 KB |
references/utilities.md | doc | 14 KB |
scripts/_common.py | script | 7.2 KB |
scripts/benchmark_evaluation.py | script | 13 KB |
scripts/cache_audit.py | script | 4.5 KB |
scripts/discover_metadata.py | script | 4.9 KB |
scripts/load_and_split_data.py | script | 14 KB |
scripts/molecular_generation.py | script | 14 KB |
External hosts referenced
github.com tdcommons.ai pypi.org doi.org arxiv.org datasets-benchmarks-proceedings.neurips.cc dataverse.harvard.edu export.arxiv.org guides.dataverse.org setuptools.pypa.io tdc.readthedocs.io
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.
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-pytdc-scan.json
- Badge for your README:
- Request a re-scan