Skills neurokit2

📦

neurokit2

Name: neurokit2
Author: davila7

Content revision r1 Medium Risk ⚙️ External commands🌐 Network access

Analyze Biosignals with NeuroKit2

Physiological signal analysis requires many specialized processing steps. This skill guides Claude and Claude Code through NeuroKit2 workflows for ECG, EEG, EDA, respiration, PPG, EMG, EOG, HRV, and event analysis.

Supports: Claude Codex Code(CC)

📊 68 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "neurokit2" from https://skillstore.io/skills/davila7-neurokit2.md and its manifest at https://skillstore.io/api/skills/davila7-neurokit2/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/davila7-neurokit2.md Signed manifest GET /api/skills/davila7-neurokit2/manifest Signed lockfile GET /api/skills/davila7-neurokit2/lockfile

Test it

Using "neurokit2". I need HRV features from a clean five minute ECG recording.

Expected outcome:

Use ECG processing to identify R peaks.
Run HRV time and frequency methods for standard short-term metrics.
Check peak quality before interpreting autonomic balance.

Using "neurokit2". I collected EDA during repeated stimulus events.

Expected outcome:

Separate tonic and phasic components.
Detect skin conductance responses around each event.
Summarize amplitude, latency, and recovery while noting baseline correction choices.

Using "neurokit2". I want one workflow for ECG, respiration, and EDA.

Expected outcome:

The skill can propose a multimodal NeuroKit2 pipeline that processes each channel, aligns sampling rates, and summarizes combined physiological features.

Security Audit

Medium Risk

v14 • 7/9/2026 Open versioned report

Most static findings are false positives caused by markdown fences, Python examples, and biomedical terms that resemble reconnaissance keywords. One confirmed issue remains: the skill recommends installing a mutable development zipball from GitHub, which introduces supply chain risk if users run it directly.

Files scanned

6,190

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (1)

Medium

SKILL.md:274-276

Mutable Development Branch Installation

The skill recommends installing NeuroKit2 from a GitHub development zipball instead of a pinned package release. Users who run this command may install changing remote code without version integrity controls.

The installation section explicitly labels this as the development version and uses a GitHub zipball URL. This is a clear supply chain concern, although it is not hidden or malicious.

Capability review items (1)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium

SKILL.md:276

Hardcoded URL

uv pip install https://github.com/neuropsychology/NeuroKit/zipball/dev

The URL is used in an installation command that pulls a development zipball from a mutable GitHub branch. This creates supply chain risk if users follow the instruction without pinning a release or checksum.

Risk Factors

⚙️ External commands (43)

🌐 Network access (4)

SKILL.md:276 SKILL.md:348 SKILL.md:349 SKILL.md:350

Audited by: claude View Audit History →

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Open versioned report

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https://skillstore.io/skills/davila7-neurokit2/audits/14?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

davila7. (2026). neurokit2 security audit report (audit version 14) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-neurokit2/audits/14

BibTeX citation

@techreport{davila7-davila7-neurokit2-2026,
  author = {davila7},
  title = {neurokit2 security audit report (audit version 14)},
  institution = {Skillstore},
  year = {2026},
  number = {14},
  url = {https://skillstore.io/skills/davila7-neurokit2/audits/14},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "neurokit2 security audit report (audit version 14)"
version: "unspecified"
type: report
authors:
  - name: "davila7"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/davila7-neurokit2/audits/14"
identifiers:
  - type: other
    value: "skillstore:davila7-neurokit2:audit:14"
    description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score

Author / source Skillstore Score Evidence Confidence Skillstore usage Updated

K-Dense-AI Recommended

k-dense-ai-neurokit2

Skillstore Score 69

Evidence Confidence High

Skillstore usage 10

Updated

2026-08-21

davila7 Current

davila7-neurokit2

Skillstore Score 68

Evidence Confidence High

Skillstore usage 8

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Process cardiac recordings

Clean ECG or PPG recordings, detect peaks, and choose HRV analysis methods for study data.

Prepare multimodal physiology features

Combine ECG, respiration, EDA, and EMG signals into a unified feature extraction workflow.

Plan event-related analysis

Create epochs around experimental events and select NeuroKit2 functions for response summaries.

Try These Prompts

Start ECG processing

Help me process an ECG recording with NeuroKit2. I have the signal array, sampling rate, and recording duration.

Choose HRV metrics

Recommend HRV metrics for a five minute resting ECG study and explain which NeuroKit2 functions I should use.

Build multimodal analysis

Design a NeuroKit2 workflow for synchronized ECG, EDA, respiration, and EMG signals collected during a stress task.

Audit signal quality and interpretation

Review my planned NeuroKit2 analysis for likely signal quality issues, method mismatches, and interpretation limits before I run it.

Best Practices

Record and provide the sampling rate, duration, channel names, and sensor type before asking for analysis guidance.
Inspect signal quality and artifact handling before interpreting derived physiological metrics.
Use event-related analysis for short stimulus windows and interval analysis for longer continuous recordings.

Avoid

Do not interpret HRV, EEG, or EDA metrics as clinical conclusions without expert review.
Do not mix signals with different sampling rates without documenting resampling and alignment decisions.
Do not install development versions from remote branches unless you pin and verify the source.