tooluniverse-gene-enrichment
tooluniverse-gene-enrichment is a Bioinformatics & life sciences skill for AI agents, published by FreedomIntelligence in the OpenClaw-Medical-Skills repository on GitHub. Skillspace rates tooluniverse-gene-enrichment C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools. Supports GO enrichment (BP, MF, CC), KEGG, Reactome, WikiPathways, MSigDB Hallmark, and 220+ Enrichr libraries. Handles multiple ID types (gene symbols, Ensembl, Entrez, UniProt), multiple organisms (human, mouse, rat, fly, worm, yeast), customizable backgrounds, and multiple testing correction (BH, Bonferroni). Use when users ask about gene enrichment, pathway analysis, GO term enrichment, KEGG pathway analysis, GSEA, over-representation analysis, functional annotation, or gene set analysis.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 2,848
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 3 other repositories, in 14 collections
- Scope
- Vendor-specific: built around one product. Uses public ToolUniverse, gseapy, Enrichr, Reactome tools
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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