nilearn
nilearn is a Bioinformatics & life sciences skill for AI agents, published by cosanlab in the nltools repository on GitHub. Skillspace rates nilearn C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Comprehensive nilearn (neuroimaging) API reference and best practices. Use when writing, reviewing, or debugging code that uses nilearn for fMRI analysis, GLM modeling, brain plotting, masking, decoding, connectivity, or surface analysis. Per-submodule references live under `references/` — load the relevant file (e.g. `references/glm.md`) for full inventories, signatures, and patterns.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 129
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
- 94 / 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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