primekg
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
Queries a pinned Precision Medicine Knowledge Graph (PrimeKG) CSV for typed gene, drug, disease, and phenotype nodes, direct associations, disease context, and one- or two-hop paths. Use for PrimeKG reproducibility, biological association lookup, and hypothesis generation with relation and data provenance preserved.
- Package
- 3 files, 26 KB
- SKILL.md
- 1158 words, 11 sections
- Code
- Python (1)
- License
- Unknown
- Compatibility
- Requires Python 3.11+ and pandas. Network access is needed only to obtain public metadata/data; local queries need a downloaded PrimeKG CSV and several GB of available RAM.
SKILL.md covers: PrimeKG Knowledge Graph · When to use · 1. Pin and verify the input · 2. Resolve a typed entity before traversal · Review the candidates and select the intended disease before calling: · get_neighbors(selected["id"], node_type=selected["type"], · node_source=selected["source"]) · 3. Retrieve associations without losing their meaning · 4. Disease summaries and short paths · Validation and citation · Citing Scientific Agent Skills
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 9.4 KB |
references/data-contract.md | doc | 7.5 KB |
scripts/query_primekg.py | script | 9.6 KB |
External hosts referenced
dataverse.harvard.edu doi.org github.com arxiv.org guides.dataverse.org export.arxiv.org pypi.org tdcommons.ai zitniklab.hms.harvard.edu
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-primekg-scan.json
- Badge for your README:
- Request a re-scan