Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add CUHK-AIM-Group/NeuroClaw --skill brain-visualizationgit clone --depth 1 https://github.com/CUHK-AIM-Group/NeuroClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/brain-visualization)<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/brain-visualization"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/brain-visualization/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/brain-visualization"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/brain-visualization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00108 | $0.01841 |
| Opus 5.5 | $0.00043 | $0.00736 |
| Sonnet 5.5 | $0.00022 | $0.00368 |
| Haiku 4.5 | $0.00011 | $0.00184 |
Grade A, and why
brain-visualization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brain Visualization
Overview
brain-visualization is the NeuroClaw skill for turning processed neuroimaging outputs into publication-friendly figures and 3D assets.
It focuses on three common visualization tasks drawn from the methods demonstrated in the referenced rs-fMRI tutorial:
- 3D brain connectivity visualization from atlas coordinates and ROI-to-ROI connectivity matrices
- atlas-based brain region activation ranking and coordinate export from zALFF-like volumetric maps
- FreeSurfer cortical surface export to colored PLY meshes for downstream 3D rendering
This skill is intended for analysis outputs that already exist. It does not replace preprocessing or statistical modeling skills such as fmri-skill, nilearn-tool, freesurfer-tool, or fsl-tool.
Agent Reference Rule
When implementing or adapting visualization workflows, the agent should first consult the curated reference snippets in skills/brain-visualization/scripts/ instead of copying directly from the tutorial scripts with hard-coded paths.
Reference snippets available:
scripts/connectome_reference.py-> atlas coordinate extraction + strongest-edge connectome plottingscripts/zalff_summary_reference.py-> MNI resampling + zALFF regional summary + coordinate exportscripts/freesurfer_ply_reference.py-> FreeSurfer surface + annotation to colored PLY export
These snippets are distilled from rs-fMRI-Pipeline-Tutorial/ and are intended as the preferred starting point for new agent-generated code in this skill.
Quick Reference
| Task | What needs to be visualized | Typical input | Expected output |
|---|---|---|---|
| 3D connectome figure | strongest ROI-to-ROI connections on a template brain | atlas NIfTI + connectivity matrix (.npy / .csv) + template T1 |
static network figure (.png) |
| Regional activation summary | top active atlas regions with MNI coordinates | BOLD-derived zALFF or similar volumetric map + atlas + labels | ranked CSV table + coordinate table |
| FreeSurfer surface export | anatomical cortical mesh with region colors | lh.pial / rh.pial + .annot files |
colored mesh (.ply) |
| Publication-ready snapshots | compact figures for reports or manuscripts | any of the above | PNG figures and tabular summaries |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 191 lines · 108 tokens per session scan A f087217db4eb
brain-visualization is a skill published in the GitHub repository CUHK-AIM-Group/NeuroClaw (85 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 1,841 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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