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.
89
86%
Does it follow best practices?
Impact
93%
1.97xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 0.80). The skill's helper module (scripts/kegg_api.py) explicitly fetches data from the public KEGG REST API (https://rest.kegg.jp) and the SKILL.md workflows parse and act on that returned content (e.g., using kegg_list/kegg_link outputs to decide subsequent kegg_get calls), so external KEGG responses can directly influence the agent's actions.
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
71add64
- Audited
- Security analysis
Is this your skill?
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