A workflow guide for working with the AIBL (Australian Imaging, Biomarkers and Lifestyle) research dataset, which contains brain scans and health information related to ageing and Alzheimer’s disease.

It helps researchers obtain AIBL data, organize it in BIDS format (a standard layout for research datasets), process structural MRI and PET scans, combine participant data, and create quality-control summaries.

It brings data access, organization, scan processing, participant information, and quality checks into one defined workflow. AIBL access requires registration and a data-use agreement.

aibl-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 aibl-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/aibl-skill/github.svg)](https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/aibl-skill)

Your own site

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

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,234 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: 1 finding, 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 analysis-evasion · line 1
Suspicious Unicode normalization or mixed-script content

Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.

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	$0.00122	$0.03234
Opus 5	$0.00061	$0.01617
Sonnet 5	$0.00024	$0.00647
Haiku 4.5	$0.00012	$0.00323

Measured 11d ago against content hash 322a8755e527, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

aibl-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/aibl_qc_summary.py, scripts/extract_aibl_phenotype.py, scripts/reorganize_aibl.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/aibl-skill/SKILL.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIBL Skill (Dataset-Orchestration Layer)

Overview

aibl-skill is the NeuroClaw orchestration skill for the AIBL (Australian Imaging, Biomarkers and Lifestyle) dataset.

It coordinates a fixed three-phase workflow:

Guide AIBL data access and download from the AIBL research portal.
Prepare and validate BIDS-style data organization for downstream processing.
Delegate modality pipelines to smri-skill for structural MRI and PET processing.

It also provides phenotype extraction and QC integration paths:

Extract and merge AIBL phenotype tables (cognitive assessments, blood biomarkers, APOE genotype, lifestyle data).
Generate per-subject QC summaries with exclusion lists.

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 base/tool skills.

Research use only.

Download Stage (Mandatory First Step)

Source

AIBL data is distributed through the AIBL research portal:

Website: https://aibl.csiro.au/
Data access: requires registration and data use agreement
Imaging data available via LONI Image Data Archive (IDA): https://ida.loni.usc.edu/

Supported AIBL Data Packages

Imaging data: T1w MRI, PET (PiB amyloid, FDG metabolism, tau)
Phenotype data: cognitive assessments (CDR, MMSE, MoCA, ADAS-Cog), blood biomarkers (Aβ42, Aβ40, p-tau, NfL), APOE genotype, lifestyle and demographic data
Derived imaging data: FreeSurfer outputs (if available)

Delegation Rules for Download

Environment/setup checks: dependency-planner + conda-env-manager
LONI IDA download tool installation and execution: claw-shell
Optional raw-data organization to BIDS-style staging: bids-organizer

Download Inputs to Confirm in Plan

LONI IDA credentials/authorized access
Target data package (imaging only, phenotype only, or both)
Subject list scope (full cohort or custom subset)
AIBL phase (screening, baseline, 18-month, 36-month, 54-month, etc.)
Destination directory with sufficient disk space

Read the full file on GitHub · 296 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 · 296 lines · 122 tokens per session scan A 322a8755e527

Subscribe to this mod's changes

aibl-skill is a skill published in the GitHub repository CUHK-AIM-Group/NeuroClaw (84 stars, last pushed 5d ago), licensed MIT. It adds 122 tokens to every session and 3,234 once invoked, about $0.0006 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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