filtering
CUHK-AIM-Group/NeuroClawUse this model doc whenever the user wants to perform neuroimaging signal denoising with classical temporal filtering methods. This is a non-deep-learning…
Scores out of 100 · grade B+
2026-08-13Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score92/100
- no commits in the last 12 weeks
Adopted
20% of the score26/100
- 79 stars on the source repo.
Documented
15% of the score66/100
- 474 words with worked examples.
Install
npx skills add CUHK-AIM-Group/NeuroClaw/filteringWhat it says it does
Use this model doc whenever the user wants to perform neuroimaging signal denoising with classical temporal filtering methods. This is a non-deep-learning preprocessing route focused on temporal cleaning, frequency selection, and preparation of cleaner time series for downstream analysis.
Also in CUHK-AIM-Group/NeuroClaw
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| ixi-skillCUHK-AIM-Group/NeuroClaw | clean | Skill | 79 stars | 18 days ago | |
| meg-skillCUHK-AIM-Group/NeuroClaw | clean | Skill | 79 stars | 18 days ago | |
| mne-eeg-toolCUHK-AIM-Group/NeuroClaw | clean | Skill | 79 stars | 18 days ago | |
| smri-skillCUHK-AIM-Group/NeuroClaw | clean | Skill | 79 stars | 18 days ago | |
| run_modelsCUHK-AIM-Group/NeuroClaw | Nonstandard name | Skill | 79 stars | 18 days ago | |
| brain-visualizationCUHK-AIM-Group/NeuroClaw | Missing files | Skill | 79 stars | 18 days ago |
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