Install
$ agentstack add skill-alim430-bioresearch-agent-biomarker-discovery ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
BioResearch Agent — Biomarker Discovery Skill
Capability
End-to-end biomarker discovery: dataset loading (GEO GSE7621 or synthetic) → differential expression (t-test + Bonferroni) → hypergeometric pathway enrichment (KEGG/GO) → candidate ranking → volcano plot. Returns ranked candidate biomarkers, not just a narrative.
Run
bioresearch run biomarker --disease "Parkinson's disease"
Outputs (in outputs/biomarker/)
biomarker_deg_table.csv— differentially expressed genesbiomarker_top_candidates.csv— ranked candidatesbiomarker_pathway_enrichment.csv— enriched pathways / GO termsbiomarker_volcano_plot.png— volcano plotbiomarker_report.txt— structured report
Note
This skill dispatches to the framework's biomarker workflow. It adds no analysis of its own; all statistics run in the workflow modules. Requires no LLM key.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Alim430
- Source: Alim430/bioresearch-agent
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.