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oxidizer-workflow氧化剂工作流程

Agent Skill

oxidizer-workflow 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

713

周安装

30

GitHub Stars

55

下载量

250
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:oxidizer-workflow(氧化剂工作流程)
来源仓库:https://github.com/rysweet/amplihack
仓库路径:skills/oxidizer-workflow
安装命令:
npx skills add https://github.com/rysweet/amplihack --skill oxidizer-workflow
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/rysweet/amplihack --skill oxidizer-workflow

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合围绕仓库状态、代码变更或协作事项进行整理与分析。
  • 可结合来源仓库与安装命令核验具体用法和功能边界。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写。
  • oxidizer-workflow 属于开发类 Skill,可作为该场景下的辅助能力补充。

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_pathsrc/amplihack/recipesPath to the Python 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

recipe-runner-rs amplifier-bundle/recipes/oxidizer-workflow.yaml \
  --set python_package_path=src/mypackage \
  --set rust_target_path=rust/mypackage \
  --set rust_repo_name=my-rust-package \
  --set rust_repo_org=myorg

Via Python API

from amplihack.recipes import run_recipe_by_name

result = run_recipe_by_name(
    "oxidizer-workflow",
    user_context={
        "python_package_path": "src/mypackage",
        "rust_target_path": "rust/mypackage",
        "rust_repo_name": "my-rust-package",
        "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

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.36%
按下载量换算96

Claude

30.21%
按下载量换算76

Cursor

19.55%
按下载量换算49

Gemini CLI

9.5%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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