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Browser Verification

Community
nahid-sparktales
browser-verification

Prove a UI change actually renders and works — desktop and mobile, controls operated, console clean. Use before reporting any change to rendered UI as done, when asked whether a screen actually functions, or when checking someone else's frontend work. Not for judging whether a design is good, and not a substitute for tests you intend to keep.

Overview

Publishernahid-sparktales
Repositoryagent-dispatcher
Skill namebrowser-verification
Stars
58
Forks
5
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by nahid-sparktales on GitHub. Read the source before you install it.

Installation

Install the Browser Verification 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/nahid-sparktales/agent-dispatcher/tree/main/skills/quality/browser-verification
  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/nahid-sparktales/agent-dispatcher.git /tmp/agent-dispatcher
mkdir -p .claude/skills
cp -r /tmp/agent-dispatcher/skills/quality/browser-verification .claude/skills/browser-verification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Browser Verification 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 Browser Verification 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 Browser Verification 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.

Browser verification

Reading the source is not verification. A component that compiles, type-checks and looks right in the diff can still render blank, overflow its container, or throw on mount.

When this fires

After any change to rendered UI, before that change is reported as working — your own work or someone else's. It does not fire for a change with no rendered surface. One change, checked once, is this skill; a matrix of states across viewports and themes, or a comparison against a screenshot baseline, is visual-verification.

Procedure

  1. Get it running. Start the dev server or open the deployed URL. If it will not start, that is the finding: report it and stop the verification — never verify a stale build. The work under test is then reported as unverified, not as failed.
  2. Render the route that changed, not the home page. Wait for network idle before judging.
  3. Read the console and network first, before looking at pixels. An error here explains most of what you are about to see. Record the exact message, not "some errors".
  4. Inspect desktop. Screenshot. Does the intended change appear; is anything clipped or overlapping; does content overflow; did images and fonts load.
  5. Inspect mobile. Resize to 375×812 and reload — layout-time breakpoints and device gates do not re-run on resize alone. Same checks, plus: horizontal scrolling, tap-target reachability, text legibility.
  6. Operate every control the change touches. Click the primary action, submit the form, open the menu, type in the input. A control that renders and does nothing is the most common failure this procedure exists to catch.
  7. Reach the states that are not the happy path — empty, loading, error, long content — by the cheapest honest route available.
  8. Re-read the console after interacting. Errors thrown on click do not appear on load.
  9. Fix what you found, then start again from step 2. A fix is not verified by the reasoning that produced it.

Checklist

  • The changed route was rendered, not just built
  • Desktop screenshot taken and read
  • Mobile viewport reloaded and read
  • Every control the change touches was actually operated
  • Console checked on load and again after interaction
  • Empty / loading / error states reached, or named as unchecked
  • Everything still unverified is named in the report

Failure handling

  • Server will not start, or the URL is unreachable — that is the result. Do not fall back to reading source and calling it verified.
  • Screenshot looks right but a control does nothing — trust the interaction, not the picture. Check the console: a handler that throws renders identically to one that works.
  • The failure will not reproduce — say so, with what you tried. An intermittent failure reported as fixed is worse than one reported as intermittent.
  • No browser tooling available — say rendered verification could not be performed, name what you did check, and do not call the change verified. Degrading honestly beats a false pass.

Evidence to report

The route and viewports checked; what each control did when operated; console output quoted, or "clean" if it genuinely was; screenshots where they show what words cannot; and the list of states and paths not checked. "Verified in the browser" with none of that is not evidence.

See references/driving-the-browser.md for which tool to reach for.

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 Browser Verification AI skill do?

Prove a UI change actually renders and works — desktop and mobile, controls operated, console clean. Use before reporting any change to rendered UI as done, when asked whether a screen actually functions, or when checking someone else's frontend work. Not for judging whether a design is good, and not a substitute for tests you intend to keep.

Why use Browser Verification on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nahid-sparktales/agent-dispatcher/tree/main/skills/quality/browser-verification. 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 Browser Verification?

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 Browser Verification?

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

Is the Browser Verification AI skill free?

Yes. It is published on GitHub by nahid-sparktales under the MIT 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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