mflux-testing — apple-silicon mflux-testing, community, apple-silicon, ide skills, diffusers, huggingface, qwen-image, seedvr2, transformers, z-image, Claude Code

v1.0.0

关于此技能

非常适合需要使用pytest和Makefile目标进行高级图像测试和验证的机器学习代理。 Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.

# 核心主题

filipstrand filipstrand
[1.9k]
[124]
更新于: 3/10/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
7/11
Quality Score
54
Canonical Locale
en
Detected Body Locale
en

非常适合需要使用pytest和Makefile目标进行高级图像测试和验证的机器学习代理。 Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.

核心价值

赋予代理快速运行和慢速测试的能力,使用pytest进行图像生成,并使用Makefile目标高效地管理测试工作流,利用MLX原生实现和最先进的生成图像模型。

适用 Agent 类型

非常适合需要使用pytest和Makefile目标进行高级图像测试和验证的机器学习代理。

赋予的主要能力 · mflux-testing

使用`make test-fast`运行不需要图像生成的快速测试
调试失败的测试并分析图像/金标准差异
使用`make test-slow`生成图像进行测试并保留输出以便检查

! 使用限制与门槛

  • 需要pytest进行图像生成测试
  • 需要Makefile目标进行高效测试
  • 保留输出以便检查,但除非明确要求,否则不会更新参考图像

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

mflux-testing 是什么?

非常适合需要使用pytest和Makefile目标进行高级图像测试和验证的机器学习代理。 Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.

如何安装 mflux-testing?

运行命令:npx killer-skills add filipstrand/mflux/mflux-testing。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

mflux-testing 适用于哪些场景?

典型场景包括:使用`make test-fast`运行不需要图像生成的快速测试、调试失败的测试并分析图像/金标准差异、使用`make test-slow`生成图像进行测试并保留输出以便检查。

mflux-testing 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

mflux-testing 有哪些限制?

需要pytest进行图像生成测试;需要Makefile目标进行高效测试;保留输出以便检查,但除非明确要求,否则不会更新参考图像。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add filipstrand/mflux/mflux-testing。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    mflux-testing 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

mflux-testing

安装 mflux-testing,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

mflux testing

This repo uses pytest with image-producing tests. Always preserve outputs for inspection and never update reference images unless explicitly asked.

When to Use

  • You need to run tests (fast/slow/full) or debug failing tests.
  • There are image/golden mismatches and you need to report paths/output for review.

Instructions

  • Prefer the Makefile test targets:
    • make test-fast (fast tests, no image generation)
    • make test-slow (slow tests, image generation)
    • make test (full suite)
  • Always keep MFLUX_PRESERVE_TEST_OUTPUT=1 on test runs (already built into the Makefile test targets).
  • If a change affects defaults, config resolution, metadata fields, or CLI behavior, add or update tests that cover the changed behavior directly instead of relying only on manual verification.
  • If tests fail:
    • Summarize the failing test names and the key assertion output.
    • Point to any generated images/artifacts on disk for manual review.
  • Do not regenerate/replace reference (“golden”) images unless the user explicitly requests it.

Manual validation (config resolution + local model paths)

Use when a change touches model config resolution, mflux-save, or the model’s generate CLI, or when a PR fixes local model-path handling for the model under investigation. Refer to the mflux-cli skill to find the correct generate command for the model you are testing.

  • Run a local-path quantize/save:
    • Use the mflux-cli skill to look up the correct command and flags.
    • Verify CLI usage with the command’s --help before running it.
    • Save to a known location (e.g., Desktop) to make follow-up steps explicit.
  • Run generation from the saved model using the correct model-specific generate CLI:
    • Use the mflux-cli skill to find the generate command and required flags.
    • Verify CLI usage with the command’s --help before running it.
  • If the model has multiple size variants, repeat the above for each variant to confirm the correct overrides are applied.
  • Do not commit output artifacts; delete or leave them untracked.

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