Borrowing it
Nothing to install: this file belongs to SDiamante13/learning-hour-mcp. 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/SDiamante13/learning-hour-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/SDiamante13/learning-hour-mcpWrote 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/sdiamante13/learning-hour-mcp/claude-md)<a href="https://agentmods.dev/instructions/sdiamante13/learning-hour-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sdiamante13/learning-hour-mcp/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 | $0.00774 | $0.00774 |
| Opus 5 | $0.00387 | $0.00387 |
| Sonnet 5 | $0.00155 | $0.00155 |
| Haiku 4.5 | $0.00077 | $0.00077 |
Grade A, and why
learning-hour-mcp 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 7d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a TypeScript-based MCP (Model Context Protocol) server that helps Technical Coaches generate comprehensive Learning Hour content. Learning Hours are 60-minute structured practice sessions where teams develop technical excellence skills through deliberate practice.
Common Development Commands
npm run build- Compile TypeScript to JavaScriptnpm run dev- Run in development mode with hot reload (tsx)npm test- Run all testsnpm run test:integration- Run integration tests only
Architecture
The codebase follows a clean architecture with these key components:
- src/index.ts - MCP server entry point, defines available tools
- src/LearningHourGenerator.ts - Generates Learning Hour session content using enhanced prompts that deeply incorporate 4C model
- src/RepositoryAnalyzer.ts - Analyzes GitHub repositories for code examples
- src/TechStackAnalyzer.ts - Identifies technology stack in repositories
- src/schemas.ts - Zod schemas for input validation
- src/EnhancedMiroBuilder.ts - Creates beautiful, workshop-ready Miro boards with visual 4C flow
- src/MiroBoardPrompt.ts - Sophisticated prompt for Miro board visual design
The server integrates with:
- Anthropic API for AI-powered content generation with carefully crafted prompts
- Other MCP servers (specifically miro-mcp) via subprocess spawning for MCP-to-MCP communication
Development Guidelines
- Code Style: Follow clean code principles - no comments, small focused functions, expressive naming
- Testing: Write tests in
__tests__/directory using Jest - Environment: Requires
ANTHROPIC_API_KEYin environment variables - TypeScript: Strict mode enabled, target ES2020
Key Domain Concepts
- Learning Hour: Structured 60-minute practice session following 4C model
- 4C Learning Model:
- Connect (10 min): Share experiences, connect to existing knowledge
- Concept (10 min): Introduce new ideas, discuss theory and principles
- Concrete (30 min): Hands-on practice with pair programming and coding
- Conclusion (10 min): Reflect, commit to apply learning, share insights
- Technical Excellence: Focus on TDD, refactoring, clean code, evolutionary design
- Deliberate Practice: Focused improvement with immediate feedback
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.
- 7d ago First seen · 70 lines · 774 tokens per session scan A 276b18ffab7b
learning-hour-mcp CLAUDE.md is an instructions file published in the GitHub repository SDiamante13/learning-hour-mcp (6 stars, last pushed 1y ago), licensed MIT. It adds 774 tokens to every session, about $0.0039 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.
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