everycure-kg
everycure-kg is a Bioinformatics & life sciences skill for AI agents, published by pascalwhoop in the medical-mcps repository on GitHub. Skillspace rates everycure-kg D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Expert guide for querying the Everycure Knowledge Graph (9.2M nodes, 77M relationships) for drug repurposing, mechanistic pathway discovery, and biomedical research. Use this skill when working with Everycure KG MCP tools to: (1) Find drug-disease connections and repurposing opportunities, (2) Explore mechanistic pathways (drug→protein→gene→disease), (3) Discover gene-disease associations, (4) Avoid path explosion in dense graph queries, (5) Navigate schema quirks and validate queries, (6) Design custom metapaths for novel hypotheses. Critical for biomedical researchers, drug discovery teams, and anyone performing knowledge graph-based drug repurposing analysis.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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