tutorial

An interactive, hands-on tutorial for learning Ouroboros, a tool for turning an idea into a detailed specification for AI-assisted work.

In plain words
What is it for?
It guides users from a vague idea through questions about the problem, users, and first useful feature, then toward a validated Seed specification.
Why use it?
It teaches the workflow through a real project idea and exposes assumptions by asking focused questions.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/q00/ouroboros/tutorial
Any agent
npx skills add Q00/ouroboros --skill tutorial
Clone the repo
git clone --depth 1 https://github.com/Q00/ouroboros

Made for: Claude Code, Codex.

Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,303 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00010 $0.01303
Opus 5 $0.00005 $0.00651
Sonnet 5 $0.00002 $0.00261
Haiku 4.5 $0.00001 $0.00130

Measured 2d ago against content hash 0fb6021d6279, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tutorial 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 2d 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-plugin/skills/tutorial/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/ouroboros:tutorial

Interactive tutorial that teaches Ouroboros through hands-on experience.

Usage

ooo tutorial
/ouroboros:tutorial

Tutorial Flow

When this skill is invoked, guide the user through a learn-by-doing tutorial with progressive disclosure.


Phase 1: The Hook (30 seconds)

Start with enthusiasm and immediate value:

Welcome to the Ouroboros Tutorial!

In the next 5 minutes, you'll:
- Transform a vague idea into a precise specification
- See Ouroboros expose hidden assumptions you didn't know you had
- Generate a validated Seed ready for AI execution

Let's start with YOUR idea. What's something you've been wanting to build?

[Wait for user response - any project idea works]

Phase 2: The Interview Experience (2 minutes)

Once they share an idea, immediately start a simplified interview:

Great choice! Let me show you how Ouroboros thinks about this.

[Ask 3-4 targeted Socratic questions about their idea]
- "What's the primary problem this solves?"
- "Who are the main users?"
- "What's the one feature that would make this useful immediately?"

Notice something? Each question exposed an assumption you hadn't articulated.
This is the "aha moment" - requirements clarity BEFORE writing code.

Phase 3: The Quick Win (1 minute)

Generate a mini-seed to show immediate value:

Based on your answers, here's what we've uncovered:

[Display a simplified seed structure]

Goal: [their goal refined]
Constraints: [3 key constraints they mentioned]
Success Criteria: [2-3 clear metrics]

Ambiguity Score: 0.XX [show progress from vague to clear]

This seed is now ready for AI execution. No more "build me X" and hoping for the best!

Phase 4: Feature Discovery (1 minute)

Progressive disclosure of features:


Now that you've seen the core magic, here's what else Ouroboros can do:

Immediate Wins (Available Now):
- ooo unstuck    - 5 lateral thinking personas when you're blocked
- ooo seed       - Generate full specifications from interviews
- ooo evolve     - Evolutionary loop until ontology converges

Advanced Features (Setup Required):
- ooo run        - Execute with visual TUI dashboard
- ooo evaluate   - 3-stage quality verification
- ooo status     - Track project drift in real-time

Want to try any of these now? Or shall I show you the full workflow?

Read the full file on GitHub · 231 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. 2d ago First seen · 231 lines · 10 tokens per session scan A 0fb6021d6279

Subscribe to this mod's changes

tutorial is a skill published in the GitHub repository Q00/ouroboros (5,730 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 1,303 once invoked, about $0.0001 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 2026-08-30.

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