rysweet/amplihack-rs/oxidizer-workflow

Claude Code and agent skill by rysweet/amplihack-rs

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Automated Python-to-Rust migration via iterative convergence loops. Treats the Python codebase as the living specification and produces a fully-tested Rust equivalent with zero-tolerance parity validation. Use when migrating Python modules, libraries, or CLIs to Rust. Activates for: migration, oxidize, python to rust, port to rust, rewrite in rust.

Install

npx vskill@latest install rysweet/amplihack-rs/oxidizer-workflow

SKILL.md

Oxidizer Workflow Skill

Purpose

Orchestrates the oxidizer-workflow recipe to migrate Python codebases to Rust. The workflow is recursive and goal-seeking — it loops until 100% feature parity is achieved, with quality audit and silent degradation checks on every iteration.

When to Use

  • Migrating a Python module, package, or CLI to Rust
  • Porting a Python library to a standalone Rust crate
  • Creating a Rust binary that replaces a Python tool

Core Principles

  1. Tests first — Python test coverage must be complete before any porting begins
  2. Zero tolerance — 100% parity required; partial results are not accepted
  3. Quality gates — Every iteration runs clippy, fmt, and a full test suite
  4. No silent degradation — Every feature, edge case, and error path must be preserved
  5. Iterative convergence — Module-by-module, loop until converged

Required Inputs

InputExampleDescription
python_package_pathcrates/amplihack-recipe/srcPath to the package to migrate
rust_target_pathrust/recipe-runnerWhere to create the Rust project
rust_repo_nameamplihack-recipe-runnerGitHub repo name for the Rust project
rust_repo_orgrysweetGitHub org or user for the repo

Execution

Via Recipe Runner
bash
amplihack recipe run amplifier-bundle/recipes/oxidizer-workflow.yaml \
-c python_package_path=src/mypackage \
-c rust_target_path=rust/mypackage \
-c rust_repo_name=my-rust-package \
-c rust_repo_org=myorg

Workflow Phases

Phase 1: Analysis
└─ AST analysis, dependency mapping, type inference, public API extraction
Phase 1B: Test Completeness Gate
└─ Measure coverage → write missing tests → re-verify → BLOCK if < 100%
Phase 2: Scaffolding
└─ cargo init, add dependencies, create module structure
Phase 3: Test Extraction
└─ Port Python tests to Rust test modules → quality audit tests
Phase 4-6: Iterative Convergence Loop (× N until 100% parity)
├─ Select next module (priority order from Phase 1)
├─ Implement module in Rust
├─ Compare: feature matrix diff against Python
├─ Quality gate: cargo clippy + fmt + test
├─ Silent degradation audit: check for lossy conversions
├─ Fix any degradation found
└─ Convergence check: if < 100% parity → loop again
Final: Summary report with parity matrix

Convergence Rules

  • Each iteration processes one module at a time (core-out strategy)
  • Up to 5 unrolled loops in the recipe, plus max_depth: 8 for sub-recipes
  • The recipe terminates when convergence_status == "CONVERGED" or

iteration_number > max_iterations (default 30)

  • If max iterations reached without convergence, the final summary reports

which modules are still incomplete

Recipe Location

The oxidizer recipe is at:

amplifier-bundle/recipes/oxidizer-workflow.yaml

The recipe is the executable workflow — this skill is the discovery and activation layer. When investigating or customizing the workflow phases, agent prompts, or convergence rules, start with the recipe file above.

Effective Rust Compliance

The oxidizer workflow enforces idiomatic Rust practices aligned with the Effective Rust guide by David Drysdale. Key rules baked into every iteration:

Types (Items 1–6)
  • Use Rust's type system to make invalid states unrepresentable (enum with data)
  • Use Option<T> for optional values — never sentinel values like -1 or null
  • Use Result<T, E> for fallible operations — never panic on expected errors
  • Use the newtype pattern for domain-specific semantics (units, IDs, validated strings)
  • Prefer From/Into conversions over as casts
  • Use thiserror for library error types, anyhow for application error handling
Unsafe (Item 16)
  • Avoid writing `unsafe` code — use standard library and crate abstractions instead
  • If unsafe is absolutely required (FFI), isolate it in a wrapper module with safety comments
  • Run Miri over any unsafe code
  • Enable the unsafe_op_in_unsafe_fn lint
Parallelism (Item 17)
  • Prefer channels (std::sync::mpsc) over shared state when possible
  • Use Arc<Mutex<T>> for shared state — keep lock scopes small
  • Group related data under a single lock to prevent deadlocks
  • Never invoke closures or return MutexGuard with locks held
  • Include deadlock detection in CI (parking_lot::deadlock, ThreadSanitizer)
Tooling (Items 29, 31, 32)
  • cargo clippy -- -D warnings on every iteration
  • cargo fmt --check on every iteration
  • cargo doc to verify documentation compiles
  • cargo-udeps to detect unused dependencies
  • cargo-deny for license and advisory checks
  • cargo bench with std::hint::black_box for realistic benchmarks

What Success Looks Like

  • Rust project builds cleanly (cargo build)
  • All tests pass (cargo test)
  • Zero clippy warnings (cargo clippy -- -D warnings)
  • Formatted (cargo fmt --check)
  • Feature parity matrix shows 100% coverage
  • No silent degradation detected
  • Zero unsafe blocks (or justified, isolated, and Miri-tested)
  • Idiomatic Rust types — no sentinel values, no stringly-typed APIs

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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