neurokit2

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

1.80x

Quality

86%

Does it follow best practices?

Impact

99%

1.80x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

100%

Cardiovascular Autonomic Assessment from ECG

ECG processing and HRV analysis pipeline

Criteria

Without context

With context

Install command

100%

Correct import alias

100%

ECG simulation function

100%

ECG process pipeline

100%

Sampling rate 1000Hz

100%

HRV all-domains function

100%

Time domain metrics present

100%

Frequency domain metrics present

100%

Nonlinear metrics present

100%

5-minute recording

100%

R-peaks from info dict

100%

Results file produced

100%

97%

92%

Emotional Arousal Study: Skin Conductance Analysis

EDA event-related analysis with SCR detection

Criteria

Without context

With context

Install command

100%

Correct import alias

100%

EDA simulation function

100%

EDA process pipeline

100%

cvxEDA decomposition

70%

Event detection function

100%

Epoch window -1 to 10 seconds

100%

Event-related analysis function

100%

Sympathetic index computation

100%

64-second minimum for sympathetic

100%

SCR metrics in output

66%

100%

Sympathetic index in output

16%

100%

33%

Stress Response Multi-Modal Physiological Analysis

Multi-modal biosignal integration and RSA analysis

Criteria

Without context

With context

Install command

100%

Correct import alias

100%

bio_process for integration

100%

bio_analyze for unified analysis

100%

Different sampling rates handled

100%

ECG simulation at 1000Hz

100%

RSP simulation at 100Hz

100%

RSA metric computed

100%

HRV metrics in output

100%

RSP metrics in output

100%

RSA value in output

100%

Repository: K-Dense-AI/claude-scientific-skills
Commit: b58ad7e

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Cardiovascular Autonomic Assessment from ECG Emotional Arousal Study: Skin Conductance Analysis Stress Response Multi-Modal Physiological Analysis

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