Borrowing it
Nothing to install: this file belongs to emmahyde/thinking-patterns. 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/emmahyde/thinking-patterns/main/CLAUDE.mdgit clone --depth 1 https://github.com/emmahyde/thinking-patternsWrote 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/emmahyde/thinking-patterns/claude-md)<a href="https://agentmods.dev/instructions/emmahyde/thinking-patterns/claude-md"><img src="https://agentmods.dev/badge/instructions/emmahyde/thinking-patterns/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/emmahyde/thinking-patterns/claude-md"><img src="https://agentmods.dev/badge/instructions/emmahyde/thinking-patterns/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 | $0.00970 | $0.00970 |
| Opus 5.5 | $0.00388 | $0.00388 |
| Sonnet 5.5 | $0.00194 | $0.00194 |
| Haiku 4.5 | $0.00097 | $0.00097 |
Grade A, and why
thinking-patterns 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 — 103 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 an MCP (Model Context Protocol) server that provides cognitive tools for AI systems. It combines systematic thinking, mental models, debugging approaches, and stochastic algorithms for comprehensive problem-solving support.
Common Development Commands
Build and Development:
npm run build- Compile TypeScript to dist/ directorynpm run watch- Watch for changes and recompilenpm run clean- Remove dist/ directorynpm start- Run the compiled servernpm run dev- Start development with watch mode
Quality Assurance:
npm test- Run tests (currently placeholder)npm run lint- Run linting (currently placeholder)
Deployment:
npm run docker- Build Docker imagenpm run deploy- Deploy via Smithery
Architecture Overview
Core Structure
This is a monolithic MCP server in index.ts (1,620 lines) that implements 10 cognitive tools:
- sequential_thinking - Multi-step thinking with revision support
- mental_model - Structured mental models (first principles, opportunity cost, etc.)
- debugging_approach - Systematic debugging methods (binary search, divide & conquer, etc.)
- stochastic_algorithm - Probabilistic algorithms (MDP, MCTS, bandit, Bayesian, HMM)
- collaborative_reasoning - Multi-perspective problem solving
- decision_framework - Structured decision analysis
- metacognitive_monitoring - Self-assessment of reasoning quality
- scientific_method - Formal hypothesis testing
- structured_argumentation - Dialectical reasoning
- visual_reasoning - Diagram-based thinking
Key Components
Server Classes: Each tool has a dedicated server class that handles validation, processing, and formatting. The older servers (MentalModel, Debugging, SequentialThinking, Stochastic) use manual validation, while newer servers use unsafe type assertions.
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 · 103 lines · 970 tokens per session scan A 6e67dda74d6d
thinking-patterns CLAUDE.md is an instructions file published in the GitHub repository emmahyde/thinking-patterns (19 stars, last pushed 1y ago), licensed MIT. It adds 970 tokens to every session, about $0.0039 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.