tooluniverse-gene-enrichment
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.
71
88%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The skill’s runtime workflow consumes user-supplied free text as gene identifiers and ranked gene scores via the required `gene_list`/`ranked_gene_list` inputs and then passes them into enrichment/ID-conversion tools (e.g., `MyGene_batch_query`, `STRING_map_identifiers`, `gseapy.enrichr`/`prerank`, and cross-validation tools) without any step to select/whitelist specific items before ingestion.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Audited
- Security analysis
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