colab-workshop-integrator

colab-workshop-integrator is a skill for Claude Code, Codex from JAICHANGPARK/workshop-harness. It costs 74 tokens per session (1,086 once invoked), scanned A, original, MIT.

An integration skill that converts workshop labs and code into Google Colab Jupyter notebooks, which are interactive documents that run code in the cloud.

In plain words
What is it for?
Use it to create starter and solution .ipynb files, add Open in Colab badges, configure Colab Secrets, and run automated smoke tests.
Why use it?
It prepares dependencies, GPU checks, and secret handling so learners can open and run workshop material without setting up the full environment locally.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create starter and solution .ipynb files, add Open in Colab badges, configure Colab Secrets, and run automated smoke tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jaichangpark/workshop-harness/colab-workshop-integrator
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 JAICHANGPARK/workshop-harness --skill colab-workshop-integrator
Clone the repo
git clone --depth 1 https://github.com/JAICHANGPARK/workshop-harness

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.

agentmods badge for colab-workshop-integrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/jaichangpark/workshop-harness/colab-workshop-integrator/github.svg)](https://agentmods.dev/skills/jaichangpark/workshop-harness/colab-workshop-integrator)
Your own site
<a href="https://agentmods.dev/skills/jaichangpark/workshop-harness/colab-workshop-integrator"><img src="https://agentmods.dev/badge/skills/jaichangpark/workshop-harness/colab-workshop-integrator/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 colab-workshop-integrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/jaichangpark/workshop-harness/colab-workshop-integrator"><img src="https://agentmods.dev/badge/skills/jaichangpark/workshop-harness/colab-workshop-integrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,086 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 original No closer match found 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 $0.00074 $0.01086
Opus 5 $0.00037 $0.00543
Sonnet 5 $0.00015 $0.00217
Haiku 4.5 $0.00007 $0.00109

Measured 8d ago against content hash 2ef17c651880, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

colab-workshop-integrator 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 8d 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.

skills/colab-workshop-integrator/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Google Colab Workshop Integrator Skill

Purpose

Bridges workshop-harness generated workshops with Google Colab and the Google Colab CLI (https://github.com/googlecolab/google-colab-cli). It transforms static workshop markdown docs, lab instructions, and starter/final code into interactive Jupyter Notebooks (.ipynb), injects cloud GPU verification and Secret management cells, inserts "Open in Colab" badges, and enables facilitators to run automated remote headless smoke tests via colab CLI.

🌐 Mandatory Pre-Flight Web Research Protocol: Before generating Colab notebooks, perform live web search (search_web / workshop-web-researcher) to verify current Colab CUDA driver versions, newest PyTorch / HuggingFace Transformers / Google GenAI SDK syntax, and latest pip package names.


🚀 Key Integration Features

  1. Lab to .ipynb Auto-Generation:

    • Converts workshop/03_labs/README.md and code files (workshop/01_starter, workshop/02_final) into clean, structured Jupyter Notebooks.
    • Generates two flavors:
      • workshop_starter.ipynb: Step-by-step guides with starter code cells and attendee TODO prompts.
      • workshop_solution.ipynb: Complete reference solution notebook ready for live demo or fallback.
  2. Zero-Setup Runtime Preparation Cells:

    • Environment & Dependency Injection: Automatically adds top %pip install -q ... cells based on pyproject.toml or workshop tech stack.
    • Hardware Accelerator Verification: Injects GPU runtime verification (!nvidia-smi / torch CUDA check) for local LLM (Ollama, vLLM, transformers) labs.
    • Colab Secrets & Credential Protocol: Injects secure google.colab.userdata API key handling instead of hardcoded keys:
      # Secure API Key Setup in Colab
      try:
          from google.colab import userdata
          gemini_api_key = userdata.get('GEMINI_API_KEY')
      except ImportError:
          import os
          gemini_api_key = os.environ.get('GEMINI_API_KEY', '')
      

Read the full file on GitHub · 93 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. 8d ago First seen · 93 lines · 74 tokens per session scan A 2ef17c651880

Subscribe to this mod's changes

colab-workshop-integrator is a skill published in the GitHub repository JAICHANGPARK/workshop-harness (5 stars, last pushed 7d ago), licensed MIT. It adds 74 tokens to every session and 1,086 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

book-mirror

Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…

garrytan/gbrain · 138 tokens

miniapp

Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.

yc-software/qm · 25 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens

deck-course-module

A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.

nexu-io/html-anything · 25 tokens

master-yinguang

A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.

xr843/Master-skill · 274 tokens