tutorial_in_60_mins.format

tutorial_in_60_mins.format is a skill for Claude Code from gpsaggese/helpers. It costs 16 tokens per session (605 once invoked), scanned A, original, Apache-2.0.

A tutorial-formatting tool for directories containing self-contained “Learn X in 60 Minutes” lessons. It organises tutorial content, improves the README, and updates the Docker build setup to follow project rules.

In plain words
What is it for?
Use it to format a data-science tutorial, create or improve its README, and bring its Docker files and content layout into line with reference tutorials.
Why use it?
It removes inconsistent structure and setup between tutorials, making their files follow the same expected conventions. It also helps keep instructions reproducible for learners.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths.

Good fit Use it to format a data-science tutorial, create or improve its README, and bring its Docker files and content layout into line with reference tutorials.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gpsaggese/helpers/tutorial_in_60_mins.format
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 gpsaggese/helpers --skill tutorial_in_60_mins.format
Clone the repo
git clone --depth 1 https://github.com/gpsaggese/helpers

Made for: Claude Code.

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 tutorial_in_60_mins.format

README.md
[![agentmods](https://agentmods.dev/badge/skills/gpsaggese/helpers/tutorial_in_60_mins.format/github.svg)](https://agentmods.dev/skills/gpsaggese/helpers/tutorial_in_60_mins.format)
Your own site
<a href="https://agentmods.dev/skills/gpsaggese/helpers/tutorial_in_60_mins.format"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/tutorial_in_60_mins.format/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 tutorial_in_60_mins.format

Your own site · 80×15
<a href="https://agentmods.dev/skills/gpsaggese/helpers/tutorial_in_60_mins.format"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/tutorial_in_60_mins.format.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 605 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 $0.00016 $0.00605
Opus 5.5 $0.00006 $0.00242
Sonnet 5.5 $0.00003 $0.00121
Haiku 4.5 $0.00002 $0.00060

Measured yesterday against content hash ac03722d6824, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tutorial_in_60_mins.format 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 yesterday.

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

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/tutorial_in_60_mins.format/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Goal

  • Expert in structuring self-contained, reproducible data-science tutorials
  • I will pass a directory <TARGET> that contains, or will contain, a "Learn XYZ in 60 Minutes" tutorial for the topic / package <TOPIC>
    • <TOPIC> is the topic or package name, e.g., Autogen, TensorFlow

Workflow

Read the Spec and Reference

  • Read the spec in .claude/skills/tutorial_in_60_mins.rules.md
  • Use as a reference of how a tutorial looks like
    • tutorials/AutoGen
    • tutorials/BambooAI
    • tutorials/TensorFlow

Improve Docker Build System

  • Improve the Docker build system in tutorials/<TOPIC> to follow the instructions from .claude/skills/docker.use_standard_style/SKILL.md

Improve Content of the Tutorial

  • Organize the content of the directory tutorials/<TOPIC> following the directions of .claude/skills/tutorial_in_60_mins.rules.md
  • Use the references above

Improve Content of the README.md

  • Create or improve a file tutorials/<TOPIC>/README.md
  • Use as reference
    • tutorials/AutoGen/README.md
    • tutorials/BambooAI/README.md
    • tutorials/TensorFlow/README.md
  • Run lint_text.py -i to format the file

Improve Blog Entry

  • Create or improve a file website/docs/blog/posts/<TOPIC>_in_60_mins.md
  • For
    categories:
      - AI Research
      - Software Engineering
    
    the categories are chosen from categories_allowed in website/mkdocs.yml based on what makes sense
  • Use as a reference
    • website/docs/blog/posts/in_60_mins.AutoGen.md,
    • website/docs/blog/posts/in_60_mins.BambooAI.md,
    • website/docs/blog/posts/in_60_mins.Tensorflow.md,
  • Run lint_text.py -i to format the file

Verification

  • tutorials/<TARGET> matches the structure in .claude/skills/tutorial_in_60_mins.rules.md
  • Docker build system in tutorials/<TOPIC> follows .claude/skills/docker.use_standard_style/SKILL.md
  • tutorials/<TOPIC>/README.md was linted with lint_text.py -i
  • website/docs/blog/posts/<TOPIC>_in_60_mins.md was linted with lint_text.py -i

Read the full file on GitHub · 62 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. yesterday First seen · 62 lines · 16 tokens per session scan A ac03722d6824

Subscribe to this mod's changes

tutorial_in_60_mins.format is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 16 tokens to every session and 605 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-11-06.

Related

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