pyhealth
Verdict safe, but 1 finding (1 info), mainly policy violation. Most recent scan 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
Builds and validates PyHealth clinical machine-learning pipelines for EHR, signals, imaging, and medical codes. Use for PyHealth dataset loading, MIMIC-III/IV, eICU or OMOP prediction tasks, patient-level evaluation, mortality/readmission/length-of-stay modeling, medication recommendation, sleep staging, Trainer checkpoints, and ICD/ATC/NDC/RxNorm mapping.
- Package
- 8 files, 44 KB
- SKILL.md
- 933 words, 8 sections
- Code
- Python (1)
- Compatibility
- Requires Python 3.12 or 3.13 and PyHealth 2.0.2 (Torch 2.7.1). Network access is needed for installation, public datasets and uncached medical-code resources. Restricted clinical datasets require authorized local access.
SKILL.md covers: PyHealth · When to use · Install and smoke-test · Workflow · MIMIC-III prototype · Critical API and scientific checks · Reference files · Citing Scientific Agent Skills
Findings
INFO Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 8.0 KB |
assets/starter_pipeline.py | script | 3.8 KB |
references/datasets.md | doc | 5.2 KB |
references/examples.md | doc | 6.9 KB |
references/installation.md | doc | 4.4 KB |
references/medcode.md | doc | 3.6 KB |
references/models.md | doc | 5.8 KB |
references/tasks.md | doc | 6.5 KB |
External hosts referenced
pyhealth.readthedocs.io storage.googleapis.com arxiv.org pypi.org doi.org export.arxiv.org physionet.org pytorch.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.
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-pyhealth-scan.json
- Badge for your README:
- Request a re-scan