mne-eeg-preprocessing-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited mne-eeg-preprocessing-starter (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill to create a tiny synthetic EEG recording with MNE-Python, apply a simple band-pass filter, and summarize the preprocessing effect.
RawArray with oscillatory signal plus low-frequency drift.1-30 Hz band-pass filter.EEG / MEG preprocessing.MNE-Python example before working on real electrophysiology recordings.slurm/envs/neuro/bin/python skills/neuroscience-and-neuroimaging/mne-eeg-preprocessing-starter/scripts/run_mne_eeg_preprocessing.py \
--out scratch/neuro/mne_preprocessing_summary.jsonpython3 -m unittest discover -s skills/neuroscience-and-neuroimaging/mne-eeg-preprocessing-starter/tests -p 'test_*.py'python3 -m unittest tests.smoke.test_phase31_frontier_leaf_conversion_skills -v~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.