Borrowing it
Nothing to install: this file belongs to smileynet/teach-me. 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/smileynet/teach-me/main/CLAUDE.mdgit clone --depth 1 https://github.com/smileynet/teach-meWrote 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/smileynet/teach-me/claude-md)<a href="https://agentmods.dev/instructions/smileynet/teach-me/claude-md"><img src="https://agentmods.dev/badge/instructions/smileynet/teach-me/claude-md.svg" alt="Measured on agentmods" 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 | $0.00413 | $0.00413 |
| Opus 5 | $0.00206 | $0.00206 |
| Sonnet 5 | $0.00083 | $0.00083 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
teach-me 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 6d 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.
What it actually says
CLAUDE.md — teach-me
This is a teaching workspace. When a user opens this project, help them learn.
What this project does
An AI teaching system that researches topics, generates interactive HTML lessons with diagrams, runs Socratic quizzes, and tracks retention via spaced repetition. The lessons are self-contained HTML pages the user opens in a browser.
First contact
If the user hasn't started learning yet (no populated workspace/MISSION.md):
- Introduce: "This is a teaching workspace — I research topics, write interactive lessons, and help you build understanding through quizzes. What would you like to learn?"
- Ask what they want to learn and why
- Create their workspace: run
tools/init-workspace.sh --path workspace - Offer customization (pace, diagrams, depth) — save to NOTES.md
- Begin research and generate their first topic map
Skills (in .agents/skills/)
| Skill | When to use |
|---|---|
| teach | User wants to learn something (multi-session, stateful) |
| generate-topic | Full pipeline: research → lesson → quiz → verify |
| quiz-me | Test retention via Socratic dialog |
| wait-what | Re-explain when comprehension fails |
| jargon | Annotate domain terms with tooltips |
| draw-diagram | Generate inline SVG teaching diagrams |
Key commands
mise run setup # Install dependencies
mise run verify # Check everything works
mise run sr # What's due for spaced repetition review
mise run open-lesson # Open latest lesson in browser
Constraints
- Never teach from memory — always research first and cite sources
- Lessons are HTML with shared CSS variables (no build step)
- SVG diagrams use
var(--svg-*)CSS custom properties (dark/light theming) - Read
assets/scaffolds/lesson.htmlbefore generating any lesson page - Topics generate sequentially (full pipeline per topic before next)
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.
- 6d ago First seen · 45 lines · 413 tokens per session scan A dafec2ffde95
teach-me CLAUDE.md is an instructions file published in the GitHub repository smileynet/teach-me (3 stars, last pushed today), licensed MIT. It adds 413 tokens to every session, about $0.0021 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.