learn

learn is a skill for Claude Code from nortonx/ai-tooling-free. It costs 15 tokens per session (701 once invoked), scanned A, original, MIT.

An interactive guide for learning a concept in depth, from a simple explanation through technical details, examples, pitfalls, and related ideas.

In plain words
What is it for?
Use it to explain programming concepts, technologies, or other terms with analogies, code examples, best practices, and further resources.
Why use it?
It gives a consistent way to understand unfamiliar technical terms without having to plan the explanation yourself.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to explain programming concepts, technologies, or other terms with analogies, code examples, best practices, and further resources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nortonx/ai-tooling-free/learn
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 nortonx/ai-tooling-free --skill learn
Clone the repo
git clone --depth 1 https://github.com/nortonx/ai-tooling-free

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 learn

README.md
[![agentmods](https://agentmods.dev/badge/skills/nortonx/ai-tooling-free/learn/github.svg)](https://agentmods.dev/skills/nortonx/ai-tooling-free/learn)
Your own site
<a href="https://agentmods.dev/skills/nortonx/ai-tooling-free/learn"><img src="https://agentmods.dev/badge/skills/nortonx/ai-tooling-free/learn/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 learn

Your own site · 80×15
<a href="https://agentmods.dev/skills/nortonx/ai-tooling-free/learn"><img src="https://agentmods.dev/badge/skills/nortonx/ai-tooling-free/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 701 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 $0.00015 $0.00701
Opus 5.5 $0.00006 $0.00280
Sonnet 5.5 $0.00003 $0.00140
Haiku 4.5 $0.00002 $0.00070

Measured 1mo ago against content hash d0d0c26c014f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

learn 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 1mo 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/learn/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arguments

<concept>

  • Required. The concept, term, or technology you want explained in depth.
  • Examples: /learn user story, /learn Wilson score interval, /learn closure in JavaScript

Copilot CLI note: $ARGUMENTS does not substitute in skills; include the argument inline in your prompt.

Explain Concept: $ARGUMENTS

Explain a software development concept, algorithm, tool, or architectural pattern clearly and thoroughly across multiple conceptual depths.

Step 1: Validate Input

If $ARGUMENTS is empty, missing, or whitespace, stop and output:

Usage: /learn <concept> Please provide the concept, term, or technology you want explained.

Then stop.

Step 2: Adaptive Multi-Depth Explanation

Synthesize the concept across structured levels to ensure both rapid intuition and deep technical mastery:

  1. Simple Summary (ELI5): Explain the concept in plain, non-jargon language that any developer or stakeholder can grasp immediately.
  2. Technical Mechanics: Detail how it works under the hood: data flow, memory model, execution phases, or state transitions.
  3. Mental Model: Provide an intuitive analogy from daily life or foundational computer science.
  4. Code Example: Provide a concise, runnable, and idiomatic code snippet illustrating the concept in practice.
  5. Common Pitfalls: Highlight common mistakes, anti-patterns, and performance or security traps.
  6. Best Practices: State concrete production recommendations and guidelines for when and when not to use it.
  7. Related Concepts: Connect the topic to 2-3 adjacent concepts, tools, or design patterns.

Output Format

Output using this structured markdown template:

# Learn: <Concept>

## 1. Simple Summary (ELI5)
<Plain language explanation capturing core value>

## 2. Technical Mechanics
<Detailed explanation of underlying architecture, algorithms, and lifecycle>

## 3. Mental Model
<Concrete analogy explaining the concept intuitively>

## 4. Code Example
```<language>
// Minimal, self-contained, and runnable example

5. Common Pitfalls

  • <Pitfall 1>:
  • <Pitfall 2>:

6. Best Practices

  • <Practice 1>:
  • <Practice 2>:
  • :
  • :

Read the full file on GitHub · 84 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. 1mo ago Changed · +50 lines d0d0c26c014f
  2. 1mo ago First seen · 34 lines · 15 tokens per session scan A de2819a522aa

Subscribe to this mod's changes

learn is a skill published in the GitHub repository nortonx/ai-tooling-free (1 stars, last pushed 18d ago), licensed MIT. It adds 15 tokens to every session and 701 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 2026-08-31.

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