gget
Verdict safe, but 1 finding (1 low), mainly unauthorized tool use. 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
Queries 20+ bioinformatics resources through CLI/Python. Supports quick lookups of gene info, BLAST/BLAT, viral sequence downloads, PDB/mmCIF structures, G2P residue annotations, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for interactive exploration and simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
- Package
- 9 files, 108 KB
- SKILL.md
- 1355 words, 12+ sections
- Code
- Python (3)
- Allowed tools
ReadWriteEditBash- License
- BSD-2-Clause license
- Compatibility
- Requires Python >=3.12, gget 0.30.8, and network access for remote queries. Use a separate Python 3.12/3.13 environment for optional Census dependencies. Local MUSCLE/DIAMOND need compatible binaries and OpenMP libraries; COSMIC downloads require an account.
SKILL.md covers: gget · Overview · Installation · Reproducible install targeting this skill · Quick Start · Module Categories · Common Workflows · Best Practices · Data Retrieval · Sequence Analysis · Expression and Disease Data · Structures and residue annotations
Findings
LOW Code uses search/grep patterns but Grep tool not in allowed-tools Unauthorized Tool Usestatic
Skill restricts tools to ['Read', 'Write', 'Edit', 'Bash'] but code uses regex search patterns
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 11 KB |
references/common_workflows.md | doc | 2.5 KB |
references/database_info.md | doc | 13 KB |
references/module_catalog.md | doc | 26 KB |
references/module_reference.md | doc | 24 KB |
references/workflows.md | doc | 9.6 KB |
scripts/batch_sequence_analysis.py | script | 6.6 KB |
scripts/enrichment_pipeline.py | script | 7.7 KB |
scripts/gene_analysis.py | script | 7.4 KB |
External hosts referenced
github.com scverse.org doi.org maayanlab.cloud arxiv.org blast.ncbi.nlm.nih.gov api.platform.opentargets.org bgee.org cancer.sanger.ac.uk eightcubedb.onrender.com export.arxiv.org g2p.broadinstitute.org genome.ucsc.edu rest.ensembl.org www.cbioportal.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
OPENAI_API_KEY COSMIC_EMAIL COSMIC_PASSWORD
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-gget-scan.json
- Badge for your README:
- Request a re-scan