What is context-crystallizer CLAUDE.md?

A project instruction file for Context Crystallizer, a tool that turns large code repositories into organized information that AI assistants can search and use.

Use it when building, testing, linting, type-checking, or running the Context Crystallizer API, frontend, database migrations, or MCP server.

It explains the project layout, commands, and quality checks so an assistant can work on the system consistently.

How hubertciebiada/context-crystallizer configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to hubertciebiada/context-crystallizer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/hubertciebiada/context-crystallizer/master/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/hubertciebiada/context-crystallizer

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/hubertciebiada/context-crystallizer/claude-md/github.svg)](https://agentmods.dev/instructions/hubertciebiada/context-crystallizer/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/hubertciebiada/context-crystallizer/claude-md"><img src="https://agentmods.dev/badge/instructions/hubertciebiada/context-crystallizer/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/hubertciebiada/context-crystallizer/claude-md"><img src="https://agentmods.dev/badge/instructions/hubertciebiada/context-crystallizer/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,378 This file is loaded in full into every session.

When invoked 1,378 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.01378	$0.01378
Opus 5.5	$0.00551	$0.00551
Sonnet 5.5	$0.00276	$0.00276
Haiku 4.5	$0.00138	$0.00138

Measured 2mo ago against content hash 960419e151d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

context-crystallizer 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.

CLAUDE.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 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

Context Crystallizer is an AI Context Engineering tool that transforms large repositories into crystallized, AI-consumable knowledge through systematic analysis and optimization. It creates searchable knowledge bases that enable AI agents to work effectively with enterprise-scale projects by providing token-efficient, LLM-optimized context.

The system operates on the Model Context Protocol (MCP), providing tools for AI agents to crystallize repositories into structured, searchable context while maintaining a mirrored directory structure for intuitive navigation.

Development Commands

Build & Development

npm run build          # Compile TypeScript to dist/
npm run dev            # Development with hot reload using tsx
npm run dev:mcp        # Development MCP server mode
npm run start          # Run production build
npm run clean          # Remove dist/ directory

Code Quality

npm run lint           # ESLint check (.ts, .tsx files)
npm run typecheck      # TypeScript type checking without emit

Application Modes

context-crystallizer                    # Start MCP server (default)
context-crystallizer <command>          # CLI mode with specific commands
context-crystallizer version            # Display version information
context-crystallizer init <repo-path>   # Initialize crystallization
context-crystallizer search <query>     # Search crystallized contexts

Core Architecture

Dual-Mode Entry Point

The application (src/index.ts) detects execution mode:

No arguments: Starts MCP server for AI agent integration
With arguments: Runs CLI commands for developer use

Core Components Architecture

CrystallizerCore (src/shared/crystallizer-core.ts)

Central orchestration class that coordinates all crystallization operations
Manages the lifecycle: initialization → file processing → context storage → search/retrieval
Provides unified interface for both MCP tools and CLI commands

Read the full file on GitHub · 155 lines

Changes

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 · 155 lines · 1,378 tokens per session scan A 960419e151d3

Subscribe to this mod's changes

context-crystallizer CLAUDE.md is an instructions file published in the GitHub repository hubertciebiada/context-crystallizer (17 stars, last pushed 1y ago), licensed MIT. It adds 1,378 tokens to every session, about $0.0055 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.

Memory and context

context-crystallizer CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
context-crystallizer CLAUDE.mdhubertciebiada/context-crystallizer	Instructions file	17	1y ago	MIT	A	1,378	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

context-crystallizer: Instructions file for Claude Code