Codexqa Jev Browser logo

Codexqa Jev Browser

Organization
openqa-cn
codexqa-jev-browser

Jev browser automation with indexed actions. Replay YAML/Markdown/API cases, run goal-driven flows, generate cases, and explore sites in a real browser. Use when the user mentions Jev, browser automation, UI automation, E2E replay, test case generation, exploratory crawl, or YAML/MD/API test cases. Not a fork of browser-use/jev-ultrafast.

Overview

Publisheropenqa-cn
Repositorycodexqa
Skill namecodexqa-jev-browser
Stars
233
Forks
3
Bundled files
72
LicenseApache-2.0
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.

  • 72 bundled files

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

  • Open source

    Published by openqa-cn on GitHub. Read the source before you install it.

Installation

Install the Codexqa Jev Browser 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/openqa-cn/codexqa/tree/main/skills/codexqa-jev-browser
  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/openqa-cn/codexqa.git /tmp/codexqa
mkdir -p .claude/skills
cp -r /tmp/codexqa/skills/codexqa-jev-browser .claude/skills/codexqa-jev-browser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codexqa Jev Browser 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 Codexqa Jev Browser 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 Codexqa Jev Browser 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.

CodexQA Jev Browser

Drive a real browser through the codexqa-jev-browser CLI (TypeScript). Do not invent CSS/XPath/coordinates or replace the engine with a host browser tool.

Choose a mode

  1. Existing YAML, Markdown, or API cases → run
  2. Only a natural-language goal → auto or generate
  3. Unknown site / coverage → explore

Install once, from this skill directory (the directory that contains package.json and SKILL.md):

bash
npm install

Playwright Chromium is the browser. Do not read another application's browser profile.

Commands

bash
npx codexqa-jev-browser observe <url-or-local-html>
npx codexqa-jev-browser run cases/examples/search-docs.yaml
npx codexqa-jev-browser run cases/examples/search-docs.md
npx codexqa-jev-browser run --from-api https://qa.example.com/cases?suite=smoke
npx codexqa-jev-browser auto --url <url> --goal '<goal>'
npx codexqa-jev-browser generate --url <url> --goal '<goal>' --out generated/case.yaml --md --verify
npx codexqa-jev-browser explore --url <url> --out generated/explore

The browser window is shown by default. Set browser.headless: true to hide it. --headed forces a visible window. --no-screenshots skips images.

Model setup

Do this before live auto / generate --goal. The CLI calls Jev or an OpenAI-compatible API itself. The host Cursor/Codex session model is not the decision model. observe, run, explore, and --decisions do not need a key. Do not stop those commands to ask for one.

Keys live in a .env file, not in the chat. The CLI loads the .env next to this SKILL.md first, then a repo-root .env, and does not override variables already set in the shell.

  1. Read that .env (or .env.example if .env is missing). If TYPESAFE_API_KEY or OPENAI_API_KEY is already set, run the command. Do not ask again.
  2. If neither key is set, copy .env.example to .env in the skill directory and tell the user to fill that file. Do not ask them to paste a key into the chat. Show this shape:
bash
# Each step: which control, which goal phrase to type, whether the step worked, whether the task is done.
TYPESAFE_API_KEY=
TYPESAFE_MODEL=jev-latest
TYPESAFE_BASE_URL=https://api.typesafe.ai/v1

# Task plan before the browser opens. Also the decision and the done check when TYPESAFE_API_KEY is empty.
OPENAI_API_KEY=
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_MODEL=gpt-4o-mini
TEXT_MODEL=gpt-4o-mini
  1. Prefer Jev when TYPESAFE_API_KEY is set. OPENAI_MODEL is only the planner unless Jev is unset. A third-party gateway is OPENAI_BASE_URL or TYPESAFE_BASE_URL, not a separate product. Set HTTPS_PROXY in the same .env only when that gateway needs a proxy.
  2. generate writes the YAML after every successful step. Do not hand-author the case step by step while the run is walking the site.
  3. Never write a key into case YAML. Never commit .env.

Optional CLI overrides (never --api-key): --model, --base-url, --config. Model name and gateway may also live in codexqa-jev-browser.config.yaml as ${OPENAI_API_KEY}-style placeholders.

After every run

Open or summarize reports/<run-id>/report.html before concluding. It contains suite totals, every step, and screenshots. Exit code is non-zero on failure. report.json is the machine-readable copy; report.md is the short summary.

Hard rules

  • Model output may only choose an operation plus an observed index. Never execute model-written selectors, JS, or shell.
  • DONE is not success. Assertions or visible evidence decide the result.
  • READ records a control Jev already sees. The control name is the fact, such as a product and its price. Jev chooses that index. It does not click, type, or ask another model to write the price. A price that is not the name of a visible control is not recorded. When the goal asks to read, list, or report those facts, READ has to record them before DONE. Text drawn only as an image is not copied.
  • Secrets stay in environment variables (${PASSWORD}), never in case files.
  • Confirm before explore/auto on logout, delete, pay, or other destructive controls.
  • Prefer semantic targets: {role, name, nth, within}.

Business knowledge

Per-app notes live in knowledge/<app>/*.md. On live auto / generate --goal, the CLI matches the start URL and the goal against each note's hosts and keywords, then appends the hits to the planner, the decision goal, and the field-text prompt. A note with general: true is included on every run.

Notes are reference for what to type and which visible control to prefer. They do not add operations. Do not copy them into case YAML. Add a new app by adding a note. Do not put that app's fill rules back into src/policy.ts.

A failed auto or generate writes reports/<run-id>/knowledge-draft.md when the failed step names a control. The draft is not active until a person runs npx codexqa-jev-browser knowledge-accept <draft>. That copies it into knowledge/<app>/. Do not accept a draft that names a secret or invents a selector.

Case sources

  • YAML is the source of truth. Markdown uses numbered Click/Type/Select/Scroll/Wait/Assert/HTTP lines.
  • --from-api pulls cases; steps may also use op: http for setup or backend checks.

Schema and verbs: references/schema.md. Examples: references/examples.md.

Bundled files

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

and 12 more files.

Frequently asked questions

What does the Codexqa Jev Browser AI skill do?

Jev browser automation with indexed actions. Replay YAML/Markdown/API cases, run goal-driven flows, generate cases, and explore sites in a real browser. Use when the user mentions Jev, browser automation, UI automation, E2E replay, test case generation, exploratory crawl, or YAML/MD/API test cases. Not a fork of browser-use/jev-ultrafast.

Why use Codexqa Jev Browser on TypingMind?

Because you install it once and use it with any model. Codexqa Jev Browser 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 Codexqa Jev Browser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openqa-cn/codexqa/tree/main/skills/codexqa-jev-browser. 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 Codexqa Jev Browser?

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 Codexqa Jev Browser?

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

Is the Codexqa Jev Browser AI skill free?

Yes. It is published on GitHub by openqa-cn under the Apache-2.0 license. 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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