mlcbakery: Instructions file for Claude Code

CLAUDE.md

mlcbakery CLAUDE.md is an instructions file for Claude Code from jettyio/mlcbakery. It costs 1,339 tokens per session, scanned C, original, MIT.

Repository instructions for MLC Bakery, a machine-learning data and model management system. They describe its APIs, database, authentication, cloud storage, and Model Context Protocol server.

In plain words
What is it for?
Use them when working on model or dataset records, provenance tracking, API endpoints, authentication, storage, or MCP integration.
Why use it?
They explain the project's layers and conventions so an agent can make changes in the correct part of the system.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is jettyio/mlcbakery's own configuration. It tells Claude Code how to work on mlcbakery itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mlcbakery configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jettyio/mlcbakery. 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/jettyio/mlcbakery/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/jettyio/mlcbakery

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 1,339 This file is loaded in full into every session.
When invoked 1,339 The same file — it is already loaded in full.
Security scan C 2 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01339 $0.01339
Opus 5.5 $0.00536 $0.00536
Sonnet 5.5 $0.00268 $0.00268
Haiku 4.5 $0.00134 $0.00134

Measured 2mo ago against content hash eb70c567b438, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

mlcbakery CLAUDE.md scanned grade C with 2 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -LsSf https://astral.sh/uv/install.sh | sh

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -LsSf https://astral.sh/uv/install.sh | sh
CLAUDE.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 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

MLC Bakery is a machine learning data and model management system with provenance tracking, built with FastAPI and SQLAlchemy. It provides RESTful APIs for managing ML model lineage, datasets, collections, and activities with support for Croissant metadata validation.

Architecture

The application follows a layered architecture:

  1. API Layer (mlcbakery/api/) - FastAPI routers and endpoints organized by resource type
  2. Schema Layer (mlcbakery/schemas/) - Pydantic models for request/response validation
  3. Model Layer (mlcbakery/models.py) - SQLAlchemy ORM models for database entities
  4. Database Layer (mlcbakery/database.py) - Database connection and session management
  5. Auth Layer (mlcbakery/auth/) - Multiple authentication strategies (JWT, Admin Token, Passthrough)
  6. Storage Layer (mlcbakery/storage/) - GCP storage integration for artifacts
  7. MCP Server (mlcbakery/mcp/) - Model Context Protocol server implementation

Key architectural patterns:

  • Async/await throughout for non-blocking I/O
  • Dependency injection for database sessions and authentication
  • Pydantic for data validation
  • SQLAlchemy with async support for database operations
  • OpenTelemetry instrumentation for observability

Development Commands

Setup and Installation

# Install uv (Python package manager)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Set up environment variables
cp env.example .env

# Install Python 3.12 if needed
uv python install 3.12

# Install dependencies (use uv sync for more reliable installation)
uv sync --python 3.12

Running the Application

Local Development:

# Run the FastAPI server with auto-reload
uv run uvicorn mlcbakery.main:app --reload --host 0.0.0.0 --port 8000

Docker Development:

# Start all services (postgres, typesense, api, mcp, caddy reverse proxy)
docker compose up -d

# Create database and run migrations
docker compose exec db psql -U postgres -c "create DATABASE mlcbakery;"
docker compose exec api alembic upgrade head

Read the full file on GitHub · 169 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.

  1. 2mo ago First seen · 169 lines · 1,339 tokens per session scan C eb70c567b438

Subscribe to this mod's changes

mlcbakery CLAUDE.md is an instructions file published in the GitHub repository jettyio/mlcbakery (7 stars, last pushed 8mo ago), licensed MIT. It adds 1,339 tokens to every session, about $0.0054 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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