Aggregate EEG stage outputs into mne.Report HTML and Markdown summaries.
npx skills add https://github.com/dengzhe-hou/auto-eeg-analysis --skill eeg-report
Please help me install this Agent Skill. Skill: eeg-report Source: https://github.com/dengzhe-hou/auto-eeg-analysis/tree/main/skills/eeg-report Command: npx skills add https://github.com/dengzhe-hou/auto-eeg-analysis --skill eeg-report
Producing publication-quality EEG reporting requires stitching together many pipeline outputs, enforcing COBIDAS-MEEG completeness, and ensuring every claim is traceable to figures and stage artifacts.
Use the eeg-report skill on your project directory after eeg-stats and eeg-figure are complete to create report-stage/report.html and report-stage/REPORT.md together with report-stage/REPRO_RECEIPT.md.
High-intent search queries and answers about installing and using this skill.
To generate a COBIDAS-ready EEG report, aggregate post-processing outputs like FINDINGS.md and figure-stage files into a self-contained HTML using mne.Report, ensuring acquisition, preprocessing, and per-claim statistics are fully traceable.
COBIDAS-MEEG compliance requires reporting specific EEG methodology details to ensure reproducibility, enforced here by generating an explicit checklist that flags missing reporting items to reduce review friction.
Create a reproducibility receipt by recording software versions, git state, RNG seeds, and SHA-256 hashes for key inputs and outputs, writing them into a REPRO_RECEIPT.md file for independent verification.
Yes, you can draft a manuscript using a matching Markdown summary builder that extracts core content, explicit per-claim verdicts, and figure links from the HTML report for manuscript workflows.
Building a complete EEG analysis report requires ANALYSIS_PLAN.md, DATASET_BRIEF.md, FINDINGS.md, ENVIRONMENT.json, and figure-stage outputs to populate the HTML and Markdown summaries without fabricating data.
Yes, the builder scans the project directory to inventory available stage outputs and writes a STAGE_INVENTORY.json file, ensuring every statistical claim and figure is traceable to its pipeline artifact.
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