A workflow for processing ADNI research data. ADNI is a study and dataset about Alzheimer's disease that includes brain imaging and related participant information.

Use it to stage ADNI MRI data as BIDS, run fMRIPrep preprocessing, extract DK68 brain-region measurements with quality checks, or create labeled data and visual question-answering pairs.

It organizes restricted ADNI data into standard formats and prepares it for imaging analysis, reducing manual setup across several processing stages.

adni-skill — Skill for Claude Code and Codex by CUHK-AIM-Group

Install

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.

Any agent

npx skills add CUHK-AIM-Group/NeuroClaw --skill adni-skill

Clone the repo

git clone --depth 1 https://github.com/CUHK-AIM-Group/NeuroClaw

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/adni-skill/github.svg)](https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/adni-skill)

Your own site

<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/adni-skill"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/adni-skill/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/adni-skill"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/adni-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,683 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 4 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium MCP Rug Pull · line 154
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123
medium MCP Rug Pull · line 308
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123
medium MCP Rug Pull · line 151
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123
medium MCP Rug Pull · line 306
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00081	$0.03683
Opus 5	$0.00041	$0.01842
Sonnet 5	$0.00016	$0.00737
Haiku 4.5	$0.00008	$0.00368

Measured 11d ago against content hash 3d85c538c117, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

adni-skill 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/generate_adni_task_files.py, scripts/generate_vqa_from_tasks.py, scripts/reorganize_adni.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/adni-skill/SKILL.md · 375 lines

How it starts

The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ADNI Skill (Dataset-Orchestration Layer)

Overview

adni-skill is the NeuroClaw orchestration skill for ADNI subject-level fMRI + T1 workflows.

It supports two distinct usage modes:

A narrow ADNI raw NIfTI -> BIDS staging path.
A full downstream ADNI workflow path (BIDS + fMRIPrep + DK68 ROI extraction).

It coordinates a fixed two-stage pipeline:

Prepare ADNI data into BIDS and run fMRIPrep.
Run DK68 ROI extraction with QC.

It also provides an optional VQA generation path for VLM use cases:

Reorganize ADNI data and convert DICOM to NIfTI.
Generate task labels (task1-task5).
Generate VQA pairs from task outputs.

This skill follows NeuroClaw hierarchy:

Defines WHAT to do, not low-level implementation details.
Does not execute direct shell commands itself.
Delegates all execution via claw-shell to tool skills.

Research use only.

Access Stage

Official route: https://adni.loni.usc.edu/data-samples/adni-data/
ADNI is not an anonymous download. Accept the ADNI DUA and submit the LONI IDA application with institutional affiliation and proposed use. ADNI states that applications are generally reviewed within two weeks.
After approval, build the image/clinical query in IDA and record the project, release/export date, filters, subject/session count, modalities, and checksum manifest.
For ADNI-DOD, log in to IDA and select Projects -> ADNIDOD. Use the project's study-data tables, including VAELG.csv where applicable, and query images by SCRNO.
Never merge ADNI-DOD SCRNO values into the standard ADNI RID/PTID namespace. Keep a project-qualified source key and create a separate BIDS-safe label.
Do not place IDA credentials, download tokens, signed agreements, or controlled subject manifests in the repository.

Narrow Path: ADNI Raw NIfTI -> BIDS Staging

Use this path when the task only asks to reorganize raw ADNI NIfTI files into a BIDS-style dataset and does not require preprocessing, ROI extraction, VQA generation, EEG handling, or DICOM conversion.

Read the full file on GitHub · 375 lines

Files

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.

Changes

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.

11d ago First seen · 375 lines · 81 tokens per session scan A 3d85c538c117

Subscribe to this mod's changes

adni-skill is a skill published in the GitHub repository CUHK-AIM-Group/NeuroClaw (84 stars, last pushed 5d ago), licensed MIT. It adds 81 tokens to every session and 3,683 once invoked, about $0.0004 per session on Opus 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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