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agentic-ai-learning-journey: Instructions file for Claude Code

CLAUDE.md

agentic-ai-learning-journey CLAUDE.md is an instructions file for Claude Code from JSchOBL/agentic-ai-learning-journey. It costs 910 tokens per session, scanned A, original, MIT.

Repository instructions for a hands-on course about writing guidance files for AI coding agents, including CLAUDE.md files, skills, and hooks. The course is organized into self-contained learning levels with exercises, examples, and reviews.

In plain words
What is it for?
Use it when changing the learning levels, shared coaching skill, reference documents, sample files, roadmap, or other course materials.
Why use it?
It explains the project structure and rules contributors must follow when maintaining the course. This helps keep lessons, reference material, samples, and coaching tools consistent.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

This is JSchOBL/agentic-ai-learning-journey's own configuration. It tells Claude Code how to work on agentic-ai-learning-journey itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-ai-learning-journey configures →

not rated 3repo 1mo ago A scan 910 tokens original MIT
View source ↗ JSchOBL/agentic-ai-learning-journey
Reuse

Borrowing it

Nothing to install: this file belongs to JSchOBL/agentic-ai-learning-journey. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/JSchOBL/agentic-ai-learning-journey/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/JSchOBL/agentic-ai-learning-journey

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 agentic-ai-learning-journey CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jschobl/agentic-ai-learning-journey/claude-md.svg)](https://agentmods.dev/instructions/jschobl/agentic-ai-learning-journey/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/jschobl/agentic-ai-learning-journey/claude-md"><img src="https://agentmods.dev/badge/instructions/jschobl/agentic-ai-learning-journey/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 910 This file is loaded in full into every session.
When invoked 910 The same file — it is already loaded in full.
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 $0.00910 $0.00910
Opus 5 $0.00455 $0.00455
Sonnet 5 $0.00182 $0.00182
Haiku 4.5 $0.00091 $0.00091

Measured 8d ago against content hash 7581547f8d75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agentic-ai-learning-journey CLAUDE.md 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.

CLAUDE.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentic AI Learning Journey

A hands-on lab for learning to write CLAUDE.md files (and later skills, hooks, and MCP config). Each level-N/ folder is a self-contained exercise: the learner reads a brief, writes a CLAUDE.md, has an agent build the project from it, then runs the coach for a review. See ROADMAP.md for the plan and status.

This file is guidance for anyone working on the lab itself, not for learners doing a level.

Layout

  • level-N/ — one self-contained exercise each: README.md (the brief), LEARNINGS.md (fixed takeaways + the learner's dated notes), and — for early levels — a starter CLAUDE.md. Later levels drop the starter and have the learner create the whole .claude/ themselves. All four levels are built.
  • .claude/skills/claude-md-coach/ — the shared skill that reviews a learner's CLAUDE.md and updates the level's LEARNINGS.md.
  • docs/ — reference library, one canonical file per topic. A fact lives in exactly one of them. Predates the lab; levels link learners to it.
  • samples/ — copyable artifacts, not prose about artifacts. Directories must work when copied into .claude/ as-is.
  • ROADMAP.md — level plan and status. Unbuilt levels are marked provisional; never link to them as though they're finished.

Conventions

  • Prose over ASCII box diagrams. The earlier draft was mostly boxes restating the sentence above them; that content was cut, not moved.
  • Every claim about Claude Code behaviour cites official docs in a Sources section. If it can't be cited, say it's untested.
  • Use Claude Code's real tool names — Read, Write, Edit, Bash, Glob, Grep, Task. Never read_file / run_command; those are pseudocode from hand-built-agent tutorials and invite Claude to call tools that don't exist.
  • A level's README.md states what to build and its pitfalls, never how — the "how" is the learner's job. Don't leak implementation choices (language, libraries, commands) into a brief; those belong in the learner's CLAUDE.md.
  • Prefer tables to bulleted comparisons.
  • No emoji in headings.

Read the full file on GitHub · 66 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 · 66 lines · 910 tokens per session scan A 7581547f8d75

Subscribe to this mod's changes

agentic-ai-learning-journey CLAUDE.md is an instructions file published in the GitHub repository JSchOBL/agentic-ai-learning-journey (3 stars, last pushed 1mo ago), licensed MIT. It adds 910 tokens to every session, about $0.0046 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.

Building agentsClaude CodeLearning and teachingclaudeclaude-aiclaude-apiclaude-code-skillclaude-code-skills
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