eeg-ml-classification

eeg-ml-classification is a skill for Codex from Drchronx/ai-agent-research-starter-kit. It costs 63 tokens per session (312 once invoked), scanned A, original, no licence file.

A machine-learning workflow guide for classifying EEG data. Classification means training a model to assign recordings or features to categories, such as different brain-computer-interface commands.

In plain words
What is it for?
Use it to extract EEG features, choose cross-validation and train-test splits, build classical or deep-learning models, and report classification metrics.
Why use it?
It helps avoid common research errors such as information leakage, weak data splitting, and misleading evaluation results.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to extract EEG features, choose cross-validation and train-test splits, build classical or deep-learning models, and report classification metrics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/drchronx/ai-agent-research-starter-kit/eeg-ml-classification
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 Drchronx/ai-agent-research-starter-kit --skill eeg-ml-classification
Clone the repo
git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit

Made for: 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 eeg-ml-classification

README.md
[![agentmods](https://agentmods.dev/badge/skills/drchronx/ai-agent-research-starter-kit/eeg-ml-classification/github.svg)](https://agentmods.dev/skills/drchronx/ai-agent-research-starter-kit/eeg-ml-classification)
Your own site
<a href="https://agentmods.dev/skills/drchronx/ai-agent-research-starter-kit/eeg-ml-classification"><img src="https://agentmods.dev/badge/skills/drchronx/ai-agent-research-starter-kit/eeg-ml-classification/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 eeg-ml-classification

Your own site · 80×15
<a href="https://agentmods.dev/skills/drchronx/ai-agent-research-starter-kit/eeg-ml-classification"><img src="https://agentmods.dev/badge/skills/drchronx/ai-agent-research-starter-kit/eeg-ml-classification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 312 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.
Origin unknown 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 $0.00063 $0.00312
Opus 5 $0.00032 $0.00156
Sonnet 5 $0.00013 $0.00062
Haiku 4.5 $0.00006 $0.00031

Measured 8d ago against content hash 18d2c653f05a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

eeg-ml-classification 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 8d 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.

本地Skills功能分类库/12_EEG_ERP神经科学实验Skills/eeg-ml-classification/SKILL.md · 46 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file 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. 8d ago First seen · 46 lines · 63 tokens per session scan A 18d2c653f05a

Subscribe to this mod's changes

eeg-ml-classification is a skill published in the GitHub repository Drchronx/ai-agent-research-starter-kit (93 stars, last pushed 3mo ago), with no licence file. It adds 63 tokens to every session and 312 once invoked, about $0.0003 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.

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