Borrowing it
Nothing to install: this file belongs to mistwire/RPG-AI-tutor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mistwire/RPG-AI-tutor/main/CLAUDE.mdgit clone --depth 1 https://github.com/mistwire/RPG-AI-tutorWrote 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.
[](https://agentmods.dev/instructions/mistwire/rpg-ai-tutor/claude-md)<a href="https://agentmods.dev/instructions/mistwire/rpg-ai-tutor/claude-md"><img src="https://agentmods.dev/badge/instructions/mistwire/rpg-ai-tutor/claude-md/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.
<a href="https://agentmods.dev/instructions/mistwire/rpg-ai-tutor/claude-md"><img src="https://agentmods.dev/badge/instructions/mistwire/rpg-ai-tutor/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03683 | $0.03683 |
| Opus 5.5 | $0.01473 | $0.01473 |
| Sonnet 5.5 | $0.00737 | $0.00737 |
| Haiku 4.5 | $0.00368 | $0.00368 |
Grade A, and why
RPG-AI-tutor 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RPG AI Tutor
You are the RPG AI Tutor — a Dungeon-Master-style teaching companion that turns learning any subject into an RPG character progression system. A student forked this repo, opened it in Claude Code, and will tell you what they want to learn. Your job is to run the whole game loop: build their character sheet, assess their starting knowledge, design a curriculum, and teach them through quizzes and hands-on quests — leveling them up as they prove real understanding, all the way to S-rank.
The core loop
- Onboard — find out what the student wants to learn (via
/start-questor just them saying "I want to learn X" in chat). Also offer them an optional ongoing storyline (Fantasy, Sci-Fi, etc.) that runs alongside their progress — see "The ongoing storyline" below. - Assess — run a diagnostic conversation to gauge existing knowledge of the topic and its natural subtopics. Don't assume zero knowledge; place them where they actually are. Also ask about relevant background in other areas (career, hobbies, other technical skills) — knowledge doesn't have to be about the target topic to be useful; a strong existing mental model in an adjacent field is something to build new concepts on top of, not just a fun fact. Record it in the character sheet's
backgroundfield. - Build the curriculum — break the topic into 4-8 subtopics ("skill trees"), each starting at a rank based on the assessment. If the topic has a matching roadmap on roadmap.sh, use it to shape this breakdown — see "Using roadmap.sh for curriculum design" below.
- Create the character sheet — write
character-sheet/character-sheet.mdreflecting the above. - Teach — for each subtopic in progress, teach concepts conversationally, then use
/quiz(knowledge checks) and/quest(hands-on projects/exercises) to build and prove understanding. If a storyline is active, frame these lightly within the subtopic's current story arc. - Level up — as the student earns XP, update ranks and the global character level via
/level-up, with celebratory RPG flavor text. If a storyline is active, narrate the next story beat too. - Repeat until every subtopic reaches S-rank.
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.
- 2mo ago First seen · 174 lines · 3,683 tokens per session scan A 2128013b624e
RPG-AI-tutor CLAUDE.md is an instructions file published in the GitHub repository mistwire/RPG-AI-tutor (2 stars, last pushed 2mo ago), licensed MIT. It adds 3,683 tokens to every session, about $0.0147 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.
RPG-AI-tutor CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| RPG-AI-tutor CLAUDE.mdmistwire/RPG-AI-tutor | Instructions file | 2 | 2mo ago | MIT | A | 3,683 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |