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Cmux Testing

OrganizationPopular
manaflow-ai
cmux-testing

Choose scoped cmux verification, add behavioral tests, and validate Swift test targets and wiring. Use when adding tests or deciding what local/CI evidence a change needs.

Overview

Publishermanaflow-ai
Repositorycmux
Skill namecmux-testing
Stars
27.5K
Forks
2.4K
Bundled files
9
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by manaflow-ai on GitHub. Read the source before you install it.

Installation

Install the Cmux Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/manaflow-ai/cmux/tree/main/skills/cmux-testing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/manaflow-ai/cmux.git /tmp/cmux
mkdir -p .claude/skills
cp -r /tmp/cmux/skills/cmux-testing .claude/skills/cmux-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cmux Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cmux Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cmux Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

cmux Testing

Choose the first check

Run repository commands only from a trusted checkout; even verify-local.py --help and --list load repository code.

TaskCommand
Choose checks and parse changed Swiftpython3 scripts/verify-local.py
Run the full CI static recipepython3 scripts/verify-local.py --all
Parse current Swift editspython3 scripts/verify-local.py --only swift-syntax --swift-changed
Check new Swift test-file wiringpython3 scripts/verify-local.py --only test-wiring
See what a UI test did, one frame per actionscripts/ui-test ClassName or scripts/ui-test <run URL> (guide)
Render view code to PNGs in seconds, light and dark, without building the appscripts/ui-lab/ui-lab.py <harness> [--watch] (guide)
Dogfood the app from CI: drive it with a JSON tour and get screenshots and accessibility treesscripts/run-e2e.sh --scenario dogfood/scenarios/<tour>.json --ref <sha> --frames (guide)
Read the screenshots and GIF CI posted of an app PR's build before merging itthe PR's dogfood comment (guide)

Add a base ref after --swift-changed to include committed changes. Use --list to find other checks and --help for options. Parsing checks syntax; it doesn't typecheck or run tests.

Read the command guide for piped paths or JSON receipts. Use the validation guide to choose package, native, web or runtime checks. Docs and portable tooling use their scoped checks.

Reproduce and repair

Keep a focused command that fails on the reported symptom, then rerun it after the repair. Setup failures and zero executed tests don't demonstrate the bug. Exercise one behavior at a time so a failure identifies what needs fixing.

Keep two commits: first the failing behavioral regression, then the fix. Run the same focused command on both and record the commit SHAs, the expected failure and the passing result. A setup failure or zero executed tests is not regression proof. When the proof is available locally, push both commits together after the fix passes; a separate hosted CI run on the deliberately broken intermediate commit is unnecessary. If the failure only reproduces in CI, use that lane and keep its receipts. Required CI and review still apply to the final pushed head.

Test wiring

New cmuxTests/*.swift files need both PBXFileReference and Sources build-phase membership in cmux.xcodeproj/project.pbxproj. Add through Xcode or follow a wired sibling, then run the wiring check above: an unwired file can otherwise produce a misleading zero-test pass.

After creating, renaming, or deleting a direct cmuxTests/*.swift file, run ./scripts/sync-test-wiring. It deterministically reconciles the PBXFileReference, PBXBuildFile, cmuxTests group child, and cmuxTests Sources membership; --check performs the same validation without writing. Foreign target membership is rejected with an explicit diagnostic. New Sources/**/*.swift app files are wired with ./scripts/wire-app-sources.py (--check lists unwired ones); UI tests with --target cmuxUITests --dir cmuxUITests; run it after any merge that took main's project.pbxproj, which drops a branch's app-source entries. The workflow-guard-tests CI job still runs ./scripts/lint-pbxproj-test-wiring.sh as a defensive Sources-phase guard.

Test quality

  • Exercise observable behavior through unit, integration, CLI or end-to-end paths.
  • Do not assert source snippets, signatures, AST shape or metadata keys solely to mirror implementation. For metadata behavior, inspect the produced artifact or execute the code that consumes it.
  • Add a small runtime harness when needed; skip a fake regression test if there is no meaningful behavioral oracle and explain the limit. See regression and quality for the judgment call.

Swift tests

Swift unit/integration targets use Swift Testing (import Testing, @Test, @Suite, #expect, #require). Portable Python/shell guards retain their existing frameworks. UI tests remain XCTest/XCUITest; do not migrate XCUIApplication tests.

New Swift package test targets start on Swift Testing. Prefer parameterized tests for repeated cases and tags for selection. Use .serialized for suites that require ordering, not locks or sleeps. Migrate an existing XCTest file only when an edit already crosses it; see the migration mapping.

Native test evidence

An app build does not compile test targets. Package/refactor and public API changes need the relevant test target compiled, then the selected tests actually executed. Follow build-for-testing and execution guidance; report skipped/unsupported checks explicitly.

For remote tmux sizing changes, use the E2E recipe.

PR CI labels

Normal PR CI already runs the suites a diff edits or touches. full-ci and unit-ci are not review or merge requirements; see PR CI coverage before adding either.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cmux Testing AI skill do?

Choose scoped cmux verification, add behavioral tests, and validate Swift test targets and wiring. Use when adding tests or deciding what local/CI evidence a change needs.

Why use Cmux Testing on TypingMind?

Because you install it once and use it with any model. Cmux Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cmux Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manaflow-ai/cmux/tree/main/skills/cmux-testing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cmux Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cmux Testing?

As many as you like. As long as a model supports skills, you can use Cmux Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cmux Testing AI skill free?

It is published on GitHub by manaflow-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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