A Python toolkit for processing physiological signals such as heart activity, brain activity, breathing, muscle activity, skin responses, and eye movements.

Use it to process ECG, EEG, EDA, respiratory, PPG, EMG, and EOG data, including heart-rate variability and signal complexity analysis.

It turns raw biosensor recordings into measurements that can be analysed in research, clinical, or human-computer interaction work.

neurokit2 — Skill for Claude Code and Codex by eric861129

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 eric861129/SKILLS_All-in-one --skill neurokit2

Clone the repo

git clone --depth 1 https://github.com/eric861129/SKILLS_All-in-one

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/eric861129/skills_all-in-one/neurokit2/github.svg)](https://agentmods.dev/skills/eric861129/skills_all-in-one/neurokit2)

Your own site

<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/neurokit2"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/neurokit2/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/eric861129/skills_all-in-one/neurokit2"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/neurokit2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,847 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 97% copy Near-identical to another mod 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	$0.00096	$0.02847
Opus 5	$0.00048	$0.01424
Sonnet 5	$0.00019	$0.00569
Haiku 4.5	$0.00010	$0.00285

Measured 9d ago against content hash 0aa7eeae116d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

neurokit2 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.

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.

Origin

This is a copy

97% identical to neurokit2 — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

public/SKILLS/Health & Life Sciences/neurokit2/SKILL.md · 355 lines

How it starts

The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NeuroKit2

Overview

NeuroKit2 is a comprehensive Python toolkit for processing and analyzing physiological signals (biosignals). Use this skill to process cardiovascular, neural, autonomic, respiratory, and muscular signals for psychophysiology research, clinical applications, and human-computer interaction studies.

When to Use This Skill

Apply this skill when working with:

Cardiac signals: ECG, PPG, heart rate variability (HRV), pulse analysis
Brain signals: EEG frequency bands, microstates, complexity, source localization
Autonomic signals: Electrodermal activity (EDA/GSR), skin conductance responses (SCR)
Respiratory signals: Breathing rate, respiratory variability (RRV), volume per time
Muscular signals: EMG amplitude, muscle activation detection
Eye tracking: EOG, blink detection and analysis
Multi-modal integration: Processing multiple physiological signals simultaneously
Complexity analysis: Entropy measures, fractal dimensions, nonlinear dynamics

Core Capabilities

1. Cardiac Signal Processing (ECG/PPG)

Process electrocardiogram and photoplethysmography signals for cardiovascular analysis. See references/ecg_cardiac.md for detailed workflows.

Primary workflows:

ECG processing pipeline: cleaning → R-peak detection → delineation → quality assessment
HRV analysis across time, frequency, and nonlinear domains
PPG pulse analysis and quality assessment
ECG-derived respiration extraction

Key functions:

import neurokit2 as nk

# Complete ECG processing pipeline
signals, info = nk.ecg_process(ecg_signal, sampling_rate=1000)

# Analyze ECG data (event-related or interval-related)
analysis = nk.ecg_analyze(signals, sampling_rate=1000)

# Comprehensive HRV analysis
hrv = nk.hrv(peaks, sampling_rate=1000)  # Time, frequency, nonlinear domains

2. Heart Rate Variability Analysis

Compute comprehensive HRV metrics from cardiac signals. See references/hrv.md for all indices and domain-specific analysis.

Read the full file on GitHub · 355 lines

Files

What ships with it

12 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.

9d ago First seen · 355 lines · 96 tokens per session scan A 0aa7eeae116d

Subscribe to this mod's changes

neurokit2 is a skill published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 4mo ago), licensed MIT. It adds 96 tokens to every session and 2,847 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to neurokit2, differing in 3 lines, and is treated as a copy.

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