Agent skill

Eeg Preprocessing Pipeline

by Drchronx in Drchronx/ai-agent-research-starter-kit

Design and audit EEG preprocessing workflows. An agent skill from Drchronx/ai-agent-research-starter-kit.

Custom licenceAuto-check passed

Install Eeg Preprocessing Pipeline

skills CLI
$ npx skills add Drchronx/ai-agent-research-starter-kit --skill eeg-preprocessing-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Drchronx/ai-agent-research-starter-kit eeg-preprocessing-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'本地Skills功能分类库/12_EEG_ERP神经科学实验Skills/eeg-preprocessing-pipeline' .claude/skills/eeg-preprocessing-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
eeg-preprocessing-pipeline
GitHub stars
135
Token cost
~446 tokens
SKILL.md length
163 words
Files
4 (incl. scripts, references)
Skills in repo
36
Repo updated
First seen
Licence
Custom licence

At a glance

Design and audit EEG preprocessing workflows. An agent skill from Drchronx/ai-agent-research-starter-kit.

  • Works in 8 steps: Preserve raw data and create a… → Import raw data and verify channel… → Apply filtering appropriate to the… → …
  • Channel montage
  • SKILL.md covers Inputs, Workflow, Hard Constraints and Output
  • Runs Python scripts from its folder

What it does

Eeg Preprocessing Pipeline is an agent skill from Drchronx/ai-agent-research-starter-kit. Design and audit EEG preprocessing workflows. Use for raw EEG import, channel montage, filtering, referencing, bad channel detection, ICA, artifact rejection, ocular artifacts, epoching preparation, quality control, MNE-Python, EEGLAB, BrainVision, Neuroscan, EDF, BDF, and preprocessing reports.

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/eeg-qc-checklist.md` and `scripts/create_eeg_qc_template.py`).

It works with Python. The repository describes itself as: AI Agent 科研全流程教学包,能教学生从零部署 Codex、Claude Code、OpenClaw、Hermes 等 Agent,学会使用 Skills、飞书、AMiner、AI4Scholar、Zotero、Obsidian…

When your agent uses it

  • Channel montage
  • Bad channel detection
  • Artifact rejection
  • Ocular artifacts

Example prompts

  • “/eeg-preprocessing-pipeline”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Preserve raw data and create a processed-data folder.
  2. Import raw data and verify channel names, montage, sampling rate, and events.
  3. Apply filtering appropriate to the downstream analysis.
  4. Detect bad channels and interpolate only with documented rationale.
  5. Re-reference according to the analysis plan.
  6. Use ICA or artifact correction when justified; document removed components.
  7. Epoch only after event integrity is checked.
  8. Create a quality-control report: retained trials, rejected trials, bad channels, ICA decisions.

What it can do on your machine

Read from SKILL.md and the folder at commit aab1133. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Eeg Preprocessing Pipeline loads about 446 tokens when it runs, and up to ~636 if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 163 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~446
With references · SKILL.md plus every file in references/, read only if the agent opens them
~636

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 163 words (~446 tokens).

“Use this skill when raw EEG data must be cleaned reproducibly.”

— opening of SKILL.md by Drchronx, Custom licence
name
eeg-preprocessing-pipeline

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in 本地Skills功能分类库/12_EEG_ERP神经科学实验Skills/eeg-preprocessing-pipeline of Drchronx/ai-agent-research-starter-kit.

  • SKILL.md
  • agents/openai.yaml
  • references/eeg-qc-checklist.md
  • scripts/create_eeg_qc_template.py

Open the folder on GitHubat commit aab1133

Compare with similar skills

Eeg Preprocessing Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Eeg Preprocessing Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Eeg Preprocessing Pipeline this skillDrchronx/ai-agent-research-starter-kit135—~446Automated safety check: PassCustom licence
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Works with

Questions about Eeg Preprocessing Pipeline

What does Eeg Preprocessing Pipeline do?

Design and audit EEG preprocessing workflows. An agent skill from Drchronx/ai-agent-research-starter-kit. Eeg Preprocessing Pipeline is an agent skill from Drchronx/ai-agent-research-starter-kit. Design and audit EEG preprocessing workflows.

When should I use Eeg Preprocessing Pipeline?

Eeg Preprocessing Pipeline fits situations like: channel montage; bad channel detection; artifact rejection; ocular artifacts.

How do I install Eeg Preprocessing Pipeline in Claude Code?

Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill eeg-preprocessing-pipeline -a claude-code`. Or copy the skill folder (本地Skills功能分类库/12_EEG_ERP神经科学实验Skills/eeg-preprocessing-pipeline in Drchronx/ai-agent-research-starter-kit) into .claude/skills/eeg-preprocessing-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Eeg Preprocessing Pipeline in Codex?

Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill eeg-preprocessing-pipeline -a codex`. Or copy the skill folder (本地Skills功能分类库/12_EEG_ERP神经科学实验Skills/eeg-preprocessing-pipeline in Drchronx/ai-agent-research-starter-kit) into .agents/skills/eeg-preprocessing-pipeline in your project. Codex loads it when a task matches its description.

Can I use Eeg Preprocessing Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Drchronx/ai-agent-research-starter-kit --skill eeg-preprocessing-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eeg-preprocessing-pipeline, .gemini/skills/eeg-preprocessing-pipeline, .github/skills/eeg-preprocessing-pipeline and .opencode/skills/eeg-preprocessing-pipeline in your project.

What does Eeg Preprocessing Pipeline need to run?

Going by SKILL.md and its folder, Eeg Preprocessing Pipeline needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Eeg Preprocessing Pipeline access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Eeg Preprocessing Pipeline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Eeg Preprocessing Pipeline use?

Eeg Preprocessing Pipeline has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Eeg Preprocessing Pipeline use?

About 446 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 190 tokens, read only when the agent opens those files.

What are the alternatives to Eeg Preprocessing Pipeline?

Skills that share tags, products or a category with Eeg Preprocessing Pipeline: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eeg Preprocessing Pipeline?

Drchronx (a GitHub user) maintains it in Drchronx/ai-agent-research-starter-kit, which has 135 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on May 19, 2026.

Source: Drchronx/ai-agent-research-starter-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.