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.
npx agentmods add instructions/quanticsoul4772/logic-thinking/claude-mdgit clone --depth 1 https://github.com/quanticsoul4772/logic-thinkingWrote 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/quanticsoul4772/logic-thinking/claude-md)<a href="https://agentmods.dev/instructions/quanticsoul4772/logic-thinking/claude-md"><img src="https://agentmods.dev/badge/instructions/quanticsoul4772/logic-thinking/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 | $0.02164 | $0.02164 |
| Opus 5 | $0.01082 | $0.01082 |
| Sonnet 5 | $0.00433 | $0.00433 |
| Haiku 4.5 | $0.00216 | $0.00216 |
Grade A, and why
logic-thinking 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 3d 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 — 189 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 formal logical reasoning, verification, and proof construction capabilities. It supports 11 logic systems (8 internal + 3 external) and operates via JSON-RPC 2.0 over stdin/stdout.
Version: 0.4.0
Build & Test Commands
- Build:
npm run build(compiles TypeScript and copies Python bridge scripts) - Watch mode:
npm run watch - Start server:
npm run start - Run all tests:
npm test - Run specific test:
npm test -- -t "test name pattern" - Watch tests:
npm test:watch - Lint:
npm run lint
Note: The start command uses Node.js memory flags: --max-old-space-size=4096 --expose-gc --max-semi-space-size=64
External Dependencies
Three Python packages required for external solvers:
pip install z3-solver- SMT constraint solvingpip install problog- Probabilistic reasoningpip install clingo- Answer set programming
The server uses pyenv Python (/Users/russellsmith/.pyenv/shims/python3) by default, falling back to system Python.
Architecture
Core Components
Entry Point: src/index.ts
- Handles JSON-RPC 2.0 communication via stdin/stdout
- Implements MCP protocol (initialize, tools/list, tools/call)
- Routes to
LogicManagerfor logic operations
Logic Manager: src/logicManager.ts
- Central router for all logic operations
- Auto-detects logical systems from input (see
detectSystem()methods) - Implements performance caching via
logicCache - Routes to one of 11 system implementations in
src/systems/
Command Handler: src/commandHandler.ts
- Processes special commands (help, listSystems, cacheStats, etc.)
- Contains extensive help content and examples for all systems/operations
Advanced Features:
- Proof Library (
src/proofLibrary.ts): SQLite database with FTS5 search, lemmas, usage tracking - Assumption Extractor (
src/assumptionExtractor.ts): Detects 6 types of hidden assumptions with confidence scoring - Argument Scorer (
src/argumentScorer.ts): 6-component scoring system (0-100 with A-F grades) - Batch Processor (
src/batchProcessor.ts): Concurrent/sequential execution with 50-request safety limit - Logic Translator (
src/logicTranslator.ts): Cross-system translation with lossiness tracking - Contradiction Detector (
src/contradictionDetector.ts): Multi-level contradiction detection with severity levels
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.
- 3d ago First seen · 189 lines · 2,164 tokens per session scan A 9d7a16701b9f
logic-thinking CLAUDE.md is an instructions file published in the GitHub repository quanticsoul4772/logic-thinking (1 stars, last pushed 10mo ago), licensed MIT. It adds 2,164 tokens to every session, about $0.0108 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
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).
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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 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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.