Browser Screenshot Diff logo

Browser Screenshot Diff

CommunityPopular
ruvnet
browser-screenshot-diff

Visual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verification

Overview

Publisherruvnet
Repositoryruflo
Skill namebrowser-screenshot-diff
Stars
72.7K
Forks
8.6K
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Browser Screenshot Diff 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.
  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/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/plugins/ruflo-browser/skills/browser-screenshot-diff .claude/skills/browser-screenshot-diff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Browser Screenshot Diff 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 Screenshot Diff 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 Screenshot Diff 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 Screenshot Diff

Compare two recorded sessions step-by-step. Pairs each step in session A to the same step-id in session B, diffs the captured screenshot and accessibility snapshot, reports the first divergence and an aggregate similarity score.

When to use

  • Visual regression after a UI change (record before, record after, diff).
  • Verifying a browser-replay run matches the parent session within tolerance.
  • Comparing two A/B variants of the same form flow.

Steps

  1. Locate both RVF containers: 
    bash
    npx -y ruvector@0.2.25 rvf status <session-id-a>.rvf
npx -y ruvector@0.2.25 rvf status <session-id-b>.rvf
  2. Load both trajectories from trajectory.ndjson. Build a step-id → (screenshot_path, snapshot_path) map for each.
  3. Pair steps by step-id. Steps that exist on only one side are flagged as unmatched and contribute to the divergence score.
  4. Pixel diff (--mode pixel|both): compare the two PNGs at each step. Report mse, psnr, and the bounding box of the largest diff cluster. Threshold default 0.02 (2% of pixels).
  5. DOM diff (--mode dom|both): compare the accessibility snapshots node-by-node. Report added / removed / changed nodes with their accessible names.
  6. Aggregate similarity: weighted average across matched steps, weighted by step duration. Verdict goes into a new findings.md under a fresh RVF container so the diff itself is replayable.
  7. Persist the diff verdict in browser-sessions under both source ids' tags so future searches surface "ran a diff against session X".

Caveats

  • Pixel diff is sensitive to font hinting, antialiasing, and scrollbar position. Keep viewport pinned across both sessions.
  • DOM diff over Playwright's accessibility tree is more stable than HTML diff. Prefer it.
  • This skill does not handle dynamic content (clocks, ads); add ignore regions to the field map or pre-process snapshots before diffing.
  • The browser_screenshot_diff MCP tool is not planned (ADR-0001 §7); the skill operates against locally-saved RVF artifacts and uses browser_eval only for live verification.

Frequently asked questions

What does the Browser Screenshot Diff AI skill do?

Visual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verification

Why use Browser Screenshot Diff on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-browser/skills/browser-screenshot-diff. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Browser Screenshot Diff?

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 Screenshot Diff?

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

Is the Browser Screenshot Diff AI skill free?

Yes. It is published on GitHub by ruvnet 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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