optimuskg
optimuskg is a Bioinformatics & life sciences skill for AI agents, published by mims-harvard in the OptimusKG repository on GitHub. Skillspace rates optimuskg F (52/100) and it passed the safety scan; the rating is based on static analysis only.
Guide for using OptimusKG, the biomedical knowledge graph, through the `optimuskg` Python client. Use this when loading, querying, filtering, or analyzing OptimusKG data — genes, drugs, diseases, phenotypes, anatomy, pathways, and their relationships — as Polars DataFrames or a NetworkX graph, or when downloading the published graph from Harvard Dataverse.
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 95
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 71 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- 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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