alterlab-neuropixels

alterlab-neuropixels is a skill for Claude Code from AlterLab-IEU/AlterLab-Academic-Skills. It costs 122 tokens per session (3,365 once invoked), scanned A, a copy of neuropixels-analysis, MIT.

A workflow for analyzing Neuropixels recordings, which capture electrical activity from many neurons using a high-density probe. It covers processing the recordings, identifying neuron spikes, measuring data quality, and reviewing the results.

In plain words
What is it for?
It helps load SpikeGLX, Open Ephys, or NWB files; correct recording motion; run spike-sorting software; calculate quality measures; review units; and export results to Phy or NWB.
Why use it?
It organizes the work needed to turn raw neural recordings into checked, usable neuron data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Part of the alterlab-bioinformatics plugin — 38 skills shipped together

Good fit It helps load SpikeGLX, Open Ephys, or NWB files; correct recording motion; run spike-sorting software; calculate quality measures; review units; and export results to Phy or NWB.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alterlab-ieu/alterlab-academic-skills/alterlab-neuropixels
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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-neuropixels
Clone the repo
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills

Made for: Claude Code.

Or install alterlab-bioinformatics, the plugin that ships this one along with the rest of its 38 skills.

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 alterlab-neuropixels

README.md
[![agentmods](https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-neuropixels/github.svg)](https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-neuropixels)
Your own site
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-neuropixels"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-neuropixels/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 alterlab-neuropixels

Your own site · 80×15
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-neuropixels"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-neuropixels.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,365 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 89% 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00122 $0.03365
Opus 5 $0.00061 $0.01682
Sonnet 5 $0.00024 $0.00673
Haiku 4.5 $0.00012 $0.00336

Measured 12d ago against content hash 244271a3a19c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alterlab-neuropixels 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 12d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (assets/analysis_template.py, scripts/compute_metrics.py, scripts/explore_recording.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

89% identical to neuropixels-analysis — 140 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.

skills/bioinformatics/alterlab-neuropixels/SKILL.md · 378 lines

How it starts

The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Neuropixels Data Analysis

Overview

Comprehensive toolkit for analyzing Neuropixels high-density neural recordings using current best practices from SpikeInterface, Allen Institute, and International Brain Laboratory (IBL). Supports the full workflow from raw data to publication-ready curated units.

When to Use This Skill

This skill should be used when:

  • Working with Neuropixels recordings (.ap.bin, .lf.bin, .meta files)
  • Loading data from SpikeGLX, Open Ephys, or NWB formats
  • Preprocessing neural recordings (filtering, CAR, bad channel detection)
  • Detecting and correcting motion/drift in recordings
  • Running spike sorting (Kilosort4, SpykingCircus2, Mountainsort5)
  • Computing quality metrics (SNR, ISI violations, presence ratio)
  • Curating units using Allen/IBL criteria
  • Creating visualizations of neural data
  • Exporting results to Phy or NWB

Supported Hardware & Formats

Probe Electrodes Channels Notes
Neuropixels 1.0 960 384 Requires phase_shift correction
Neuropixels 2.0 (single) 1280 384 Denser geometry
Neuropixels 2.0 (4-shank) 5120 384 Multi-region recording
Format Extension Reader
SpikeGLX .ap.bin, .lf.bin, .meta si.read_spikeglx()
Open Ephys .continuous, .oebin si.read_openephys()
NWB .nwb si.read_nwb()

Quick Start

Basic Import and Setup

import spikeinterface.full as si

# Bundled helper functions live in scripts/neuropixels_pipeline.py
from scripts.neuropixels_pipeline import (
    load_recording, preprocess, check_drift, correct_motion,
    run_spike_sorting, postprocess, curate_units, export_results, run_pipeline,
)

# Configure parallel processing
job_kwargs = dict(n_jobs=-1, chunk_duration='1s', progress_bar=True)

Loading Data

# SpikeGLX (most common)
recording = si.read_spikeglx('/path/to/data', stream_id='imec0.ap')

# Open Ephys (common for many labs)
recording = si.read_openephys('/path/to/Record_Node_101/')

# Check available streams
streams, ids = si.get_neo_streams('spikeglx', '/path/to/data')
print(streams)  # ['imec0.ap', 'imec0.lf', 'nidq']

# For testing with subset of data
recording = recording.frame_slice(0, int(60 * recording.get_sampling_frequency()))

Read the full file on GitHub · 378 lines

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. 12d ago First seen · 378 lines · 122 tokens per session scan A 244271a3a19c

Subscribe to this mod's changes

alterlab-neuropixels is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 8d ago), licensed MIT. It adds 122 tokens to every session and 3,365 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to neuropixels-analysis, differing in 140 lines, and is treated as a copy.

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