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Codex Qa

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code-yeongyu
codex-qa

QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.

Overview

Publishercode-yeongyu
Repositoryoh-my-openagent
Skill namecodex-qa
Stars
70K
Forks
5.7K
Bundled files
15
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.

  • 15 bundled files

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

  • Open source

    Published by code-yeongyu on GitHub. Read the source before you install it.

Installation

Install the Codex Qa 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/code-yeongyu/oh-my-openagent/tree/dev/.agents/skills/codex-qa
  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/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
mkdir -p .claude/skills
cp -r /tmp/oh-my-openagent/.agents/skills/codex-qa .claude/skills/codex-qa
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Qa 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 Codex Qa 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 Codex Qa 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.

Codex QA

QA the omo Codex Light edition (packages/omo-codex/, shipped as lazycodex). We exercise OUR plugin in a REAL Codex while touching nothing of the user's setup: an isolated CODEX_HOME + a local mock model means no real API call and the real ~/.codex is never read or written. Each helper script ships a --self-test that asserts its scenario against the live machine, so the scripts are both the QA tools and their own regression checks.

Verified against codex-cli 0.140.0 (node, jq, tmux, bun on macOS). Confirm with codex --version; check a flag with codex <cmd> --help.

Golden rules (read before running anything)

  • QA ONLY our plugin. Everything that spawns codex uses an isolated CODEX_HOME (created by cqa_mk_isolated_home) and a LOCAL mock model provider (cqa_start_mock). Never QA against the real ~/.codex, never hit a real model API. The bundled scripts enforce this; if you run codex by hand, export CODEX_HOME="$(mktemp -d)/codex"; mkdir -p "$CODEX_HOME" FIRST (a set CODEX_HOME must already exist or codex hard-errors).
  • Prove the real home stayed clean. Every script shasums ~/.codex/config.toml before and after and asserts it is unchanged. If you script by hand, do the same.
  • The interactive codex is a shell function that injects --profile quotio. Bash scripts bypass it and get the real binary; never rely on the interactive alias. See references/isolation.md.
  • The first-party way to prove a hook fired is the app-server notification stream (hook/started / hook/completed), not log scraping. See references/app-server.md.
  • The captured JSON / pane IS the evidence — write it under .omo/evidence/<YYYYMMDD>-<slug>/ (no evidence file == the QA did not happen). That directory is gitignored: the files stay local, the PR body carries the summary and decisive excerpts, and nothing under it is ever committed.

Setup

bash
cd <this-skill-dir>                        # .agents/skills/codex-qa
bash scripts/lib/common.sh --self-check    # confirm deps + isolation harness

Docker is the default QA surface. Run this QA inside a disposable container that has the latest codex and a copy of your config, with the host ~/.codex untouched: script/agent/qa-docker.sh (see references/docker-qa.md). The local scripts below are the fallback for when Docker is unavailable or on Windows.

Router: pick your case

You need to…RunDeep dive
Prove a plugin hook fires in a LIVE Codex turn (first-party)scripts/app-server-drive.sh --pluginapp-server.md
Prove the app-server driver itself works (no plugin, fast)scripts/app-server-drive.sh --self-testapp-server.md
Install the LOCAL build into an isolated home + assert it landedscripts/install-verify.sh --self-testinstall-verify.md
Pin ONE component's hook logic deterministically (no codex)scripts/hook-unit-probe.sh --self-testcomponents-hooks.md
Smoke the real TUI under tmux (boots, renders, survives)scripts/tui-smoke.sh --self-testlogging-debug.md
Watch runtime logs while QAing(see reference; RUST_LOG / logs DB / /debug-config)logging-debug.md

Scripts index (each is its own regression test)

Script--self-test asserts
scripts/lib/common.sh --self-checkdeps present; isolated CODEX_HOME is created inside a sandbox and auto-removed on exit; mock model serves the Responses SSE; real ~/.codex unchanged
scripts/app-server-drive.sh--self-test: a bare turn completes and the mock assistant text comes back. --plugin: installs local omo, drives a turn, and asserts hook/completed for sessionStart,userPromptSubmit
scripts/install-verify.shlocal omo installs into the isolated home; config.toml enables omo@sisyphuslabs; component bins + agent TOMLs linked in the sandbox; real ~/.codex unchanged
scripts/hook-unit-probe.shthe ultrawork component injects <ultrawork-mode> on an ulw UserPromptSubmit (also a manual --component/--event mode)
scripts/tui-smoke.shthe real codex TUI boots in the isolated home, renders, and survives (no early exit); captures the pane

To tell a dev dogfood build apart from a published one on a REAL ~/.codex (NOT the isolated QA home), the repo ships bun run install:codex-dev, which stamps the plugin version as dev — visible as the (OmO dev) hook-status prefix every turn and as a [DEV] badge in omo get-local-version. Use it to confirm which build is loaded during manual dogfooding; it writes to the real home, so it is NEVER part of the isolated QA flow above.

When TUI visual QA evidence is needed, follow docs/reference/web-terminal-visual-qa.md: render the TUI through the real xterm.js web terminal - NEVER the tmux capture-pane frame, which degrades color and CJK width:

bash
node script/qa/web-terminal-visual-qa.mjs --title "Codex TUI QA" \
  --command "codex" --input "{Enter}" \
  --evidence-dir .omo/evidence/<slug>/codex-web-terminal

The helper runs a real pty, renders it in xterm.js under Chrome, and writes terminal.txt, terminal-ansi.txt, terminal.png (true color), and metadata.json (--from-file <capture.ansi> replays a saved raw stream). Use that artifact set for TUI visual QA; use app-server-drive.sh --plugin for assertion-grade hook behavior.

Match QA to your change scope

  • Component / hook logic (packages/omo-codex/plugin/components/*): hook-unit-probe.sh for the exact stdout, THEN app-server-drive.sh --plugin to prove the live wiring. See components-hooks.md.
  • Installer / config.toml (packages/omo-codex/src/install/*): install-verify.sh.
  • Anything that affects a live session (hooks, agents, MCP wiring): app-server-drive.sh --plugin, and tui-smoke.sh --plugin if the TUI path matters.

Capturing evidence

bash
ev=".omo/evidence/$(date +%Y%m%d)-codex-qa-<slug>"; mkdir -p "$ev"
bash scripts/app-server-drive.sh --plugin > "$ev/app-server-drive.json" 2>&1
bash scripts/install-verify.sh --self-test > "$ev/install-verify.txt" 2>&1

On /debugging

There is no /debugging command in Codex. To observe a run: the app-server notification stream (above), RUST_LOG=debug on the app-server's stderr, the logs SQLite under $CODEX_HOME, the TUI's /debug-config, and the codex debug … subcommands. See logging-debug.md.

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 Codex Qa AI skill do?

QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever...

Why use Codex Qa on TypingMind?

Because you install it once and use it with any model. Codex Qa 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 Codex Qa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/code-yeongyu/oh-my-openagent/tree/dev/.agents/skills/codex-qa. 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 Codex Qa?

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 Codex Qa?

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

Is the Codex Qa AI skill free?

It is published on GitHub by code-yeongyu. 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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