kegg-database
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
67
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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 required runtime workflow performs KEGG REST API queries (e.g., `kegg_find` keyword searches and `kegg_get` retrieval) that ingest user-provided search terms and identifiers into requests whose returned KEGG entries are then processed by the LLM, so outsider-authored free text can influence what text is ingested at runtime.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Audited
- Security analysis
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