What tools does it use for verification?

Every iteration automatically runs cargo clippy, cargo fmt, cargo test, and a specialized silent degradation audit to prevent lossy conversions.

How does Oxidizer Workflow ensure feature parity?

It uses a recursive, goal-seeking loop that compares the Rust implementation against the Python source, blocking completion until a 100% parity matrix is achieved.

Does it produce idiomatic Rust code?

Yes, the skill enforces 'Effective Rust' principles, including specific rules for the type system, Result/Option patterns, and strict avoidance of unsafe code.

What happens if my Python code lacks tests?

The workflow includes a mandatory Test Completeness Gate that measures coverage and will automatically block migration until Python test coverage is 100%.

Can I use it for large Python projects?

Yes, it utilizes a module-by-module core-out strategy and supports up to 30 iterations to converge even complex package structures into Rust.

Oxidizer Workflow

Name: Oxidizer Workflow
Author: rysweet

byrysweet

•

Productividad y Flujo de Trabajo

Automates the migration of Python codebases to high-performance, idiomatic Rust through iterative parity validation and convergence loops.

The Oxidizer Workflow is a specialized Claude Code skill designed for developers looking to port Python modules, libraries, or CLI tools to Rust without sacrificing quality or functionality. By treating the original Python code as a living specification, the workflow employs a recursive, goal-seeking loop that ensures 100% feature parity, zero-tolerance for silent degradation, and strict adherence to Effective Rust principles. It automates everything from AST analysis and test extraction to iterative implementation and quality auditing, resulting in a production-ready Rust equivalent that passes all clippy, fmt, and parity checks.

Características Principales

01Automated quality auditing using clippy, fmt, and parity matrix comparisons.

0245 GitHub stars

03Iterative convergence loops ensuring 100% feature parity with zero-tolerance.

04Automated AST analysis and dependency mapping for Python codebases.

05Strict enforcement of Effective Rust compliance and idiomatic type systems.

06Built-in test extraction and completeness gates requiring 100% coverage.

Casos de Uso

01Porting a performance-critical Python CLI tool to a standalone Rust binary.

02Migrating a Python library module to a high-performance Rust crate.

03Modernizing legacy Python infrastructure with memory-safe, idiomatic Rust equivalents.

Características Principales

01Automated quality auditing using clippy, fmt, and parity matrix comparisons.

0245 GitHub stars

03Iterative convergence loops ensuring 100% feature parity with zero-tolerance.

04Automated AST analysis and dependency mapping for Python codebases.

05Strict enforcement of Effective Rust compliance and idiomatic type systems.

06Built-in test extraction and completeness gates requiring 100% coverage.

Casos de Uso

01Porting a performance-critical Python CLI tool to a standalone Rust binary.

02Migrating a Python library module to a high-performance Rust crate.

03Modernizing legacy Python infrastructure with memory-safe, idiomatic Rust equivalents.