mne-eeg
mne-eeg is a Bioinformatics & life sciences skill for AI agents, published by xjtulyc in the awesome-rosetta-skills repository on GitHub. Skillspace rates mne-eeg D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Full EEG/MEG analysis pipeline with MNE-Python: preprocessing, ICA artifact removal, ERP computation, time-frequency analysis, and resting-state power spectral density.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 65 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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