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
Evaluation results
89%
54%Cancer Gene Pathway Profiler
Gene-to-pathway mapping workflow
Uses kegg_api module
0%
100%
kegg_find for gene lookup
0%
70%
kegg_link for pathways
0%
100%
kegg_get for pathway details
0%
100%
Gene ID format
100%
100%
Tab-delimited parsing
100%
100%
Pathway ID extraction
50%
100%
Human organism code
100%
100%
No raw HTTP calls
0%
100%
Error response handling
30%
20%
100%
37%Metabolite Pathway Explorer
Compound search and pathway retrieval formats
Uses kegg_api module
0%
100%
Formula search option
100%
100%
Compound-to-reaction link
0%
100%
Reaction-to-pathway link
0%
100%
KGML single-entry constraint
100%
100%
Compound ID format
100%
100%
Local result caching
100%
100%
Glycolysis KGML file
100%
100%
Tab-delimited parsing
100%
100%
No raw HTTP construction
0%
100%
90%
45%Pharmacological Safety Analysis Tool
Drug interaction check and ID conversion
Uses kegg_api module
0%
100%
kegg_ddi for interactions
0%
100%
Drug ID format
100%
100%
Max entries constraint
100%
100%
kegg_conv for UniProt
0%
100%
Supported conversion target
100%
100%
kegg_get for drug entries
0%
100%
Tab-delimited conv parsing
100%
100%
No unsupported conversions
100%
100%
kegg_link for drug-gene targets
0%
0%
Error handling
42%
57%
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
71add64
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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