ukb-skill

ukb-skill is a skill for Claude Code, Codex from CUHK-AIM-Group/NeuroClaw. It costs 83 tokens per session (3,347 once invoked), scanned A, original, MIT.

A guided workflow for analysing brain-related data from the UK Biobank, a large biomedical research study, when the data is already available locally. It helps choose and coordinate downstream statistical or machine-learning analyses.

In plain words
What is it for?
Use it to study neurological outcomes, cognitive traits, brain-MRI measurements, subgroup differences, mediation, sensitivity, survival, or predictive models.
Why use it?
It clarifies what kind of research question and analysis method fit the available data. It does not download UK Biobank data or provide a workflow for obtaining access.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to study neurological outcomes, cognitive traits, brain-MRI measurements, subgroup differences, mediation, sensitivity, survival, or predictive models.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cuhk-aim-group/neuroclaw/ukb-skill
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 ukb-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.

agentmods badge for ukb-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/ukb-skill/github.svg)](https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/ukb-skill)
Your own site
<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/ukb-skill"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/ukb-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.

agentmods 80×15 button for ukb-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/ukb-skill"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/ukb-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,347 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 pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00083 $0.03347
Opus 5 $0.00042 $0.01673
Sonnet 5 $0.00017 $0.00669
Haiku 4.5 $0.00008 $0.00335

Measured 9d ago against content hash dc39a35eb60e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ukb-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 9d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/build_ukb_survival.py, scripts/extract_ukb_cases.py, scripts/extract_ukb_phenotype.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/ukb-skill/SKILL.md · 310 lines

How it starts

The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UKB Skill (Dataset Layer)

Overview

ukb-skill is the NeuroClaw analysis-layer skill for brain-focused UK Biobank downstream research.

This skill is designed for users who already have local UK Biobank tables, derived phenotype tables, or neuroimaging-derived feature matrices and want to run downstream statistical or machine learning analyses.

It follows the NeuroClaw hierarchical design principles:

  • This skill describes WHAT needs to be analyzed and which existing skill should handle each part.
  • It contains no RAP download workflow and no cloud export instructions.
  • It contains no direct implementation code and no direct shell commands.
  • All concrete execution should be delegated through claw-shell and related downstream skills.

Core workflow (never bypassed):

  1. Confirm that the user already has accessible UK Biobank-derived local data.
  2. Identify the research target: neurological endpoint, cognitive phenotype, brain MRI phenotype, or predictive modeling task.
  3. Identify the analysis type: regression, survival analysis, subgroup analysis, propensity score analysis, mediation analysis, sensitivity analysis, machine learning, visualization, or manuscript support.
  4. Check the minimum required columns, files, and assumptions.
  5. Generate a numbered execution plan with outputs, delegated skills, and risks.
  6. Present the plan and wait for explicit user confirmation ("YES" / "execute" / "proceed").
  7. On confirmation, delegate all execution through claw-shell and the target skills.

Research use only.


Scope Boundaries

Included

  • Brain-related UK Biobank disease endpoint analysis using existing tables
  • Cognitive and brain-health phenotype modeling
  • Brain MRI derived phenotype association analysis
  • Survival / logistic / linear modeling on UK Biobank-derived tables
  • Sensitivity analysis, subgroup analysis, propensity score analysis, and mediation analysis
  • Machine learning on brain-related tabular or derived neuroimaging features
  • Visualization and manuscript-ready result summarization

Read the full file on GitHub · 310 lines

Files

What ships with it

4 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.

  1. 9d ago First seen · 310 lines · 83 tokens per session scan A dc39a35eb60e

Subscribe to this mod's changes

ukb-skill is a skill published in the GitHub repository CUHK-AIM-Group/NeuroClaw (85 stars, last pushed 6d ago), licensed MIT. It adds 83 tokens to every session and 3,347 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 2026-09-03.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

phylogenetics

Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.

K-Dense-AI/scientific-agent-skills · 68 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens