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 bold5000-skillgit 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/bold5000-skill)<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/bold5000-skill"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/bold5000-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.
<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/bold5000-skill"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/bold5000-skill.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 | $0.00103 | $0.01821 |
| Opus 5 | $0.00051 | $0.00911 |
| Sonnet 5 | $0.00021 | $0.00364 |
| Haiku 4.5 | $0.00010 | $0.00182 |
Grade A, and why
bold5000-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 10d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BOLD5000 Skill (Dataset-Orchestration Layer)
Overview
bold5000-skill is the NeuroClaw orchestration skill for the BOLD5000 dataset.
BOLD5000 is a high-density repeated visual fMRI dataset with 8 participants performing 5,000-image visual recognition tasks. It is designed for studying visual object recognition and scene understanding.
It coordinates a fixed three-phase workflow:
- Download BOLD5000 data from the OpenNeuro repository.
- Prepare and validate BIDS-style data organization for downstream processing.
- Delegate modality pipelines to
smri-skillandfmri-skill.
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-shellto base/tool skills.
Research use only.
Download Stage (Mandatory First Step)
Source
BOLD5000 data is available on OpenNeuro:
- Website: https://bold5000-dataset.github.io/
- OpenNeuro: https://openneuro.org/datasets/ds002785
Supported BOLD5000 Data Packages
- Imaging data: T1w structural, task-fMRI (NIfTI format)
- Stimulus data: 5,000 natural images with category labels and image metadata
- Behavioral data: Recognition memory judgments, response times
- Participants: 4 participants x ~1250 images each (high-density repeated measures)
Delegation Rules for Download
- Environment/setup checks:
dependency-planner+conda-env-manager - OpenNeuro dataset download:
claw-shell(viaopenneuroCLI ordatalad) - Optional raw-data organization to BIDS-style staging:
bids-organizer
Download Inputs to Confirm in Plan
- Target subset (all subjects, specific subjects)
- Whether to include stimulus images
- Destination directory with sufficient disk space
Narrow Path: BOLD5000 Raw NIfTI -> BIDS Staging
Use this path when the task only asks to reorganize raw BOLD5000 NIfTI files into a BIDS-style dataset and does not require preprocessing or downstream analysis.
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.
- 10d ago First seen · 187 lines · 103 tokens per session scan A 19543c4050a5
bold5000-skill is a skill published in the GitHub repository CUHK-AIM-Group/NeuroClaw (84 stars, last pushed 4d ago), licensed MIT. It adds 103 tokens to every session and 1,821 once invoked, about $0.0005 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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