Browser Replay

CommunityPopular

ruvnet

browser-replay

Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift

Overview

Publisher	ruvnet
Repository	`ruflo`
Skill name	`browser-replay`
Stars	72.7K
Forks	8.6K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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-replay .claude/skills/browser-replay

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Browser Replay 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 Replay 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 Replay 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 Replay

Re-drive a recorded session trajectory. Used for regression testing, deterministic re-runs, and as the verification path that browser-record plus browser-selectors actually produces something replayable.

This skill is the load-bearing assumption of the v0.2.0 architecture. ADR-0001 Verification §4 requires ≥80% replay success across 10 distinct sites of varying drift profiles before the proposal moves from Proposed → Accepted. If you find replay unreliable, capture the failure modes in findings.md and report them up the ADR.

When to use

Regression-testing a UI flow after a deploy.
Reproducing a bug captured in a prior session.
Comparing two runs of the same flow for browser-screenshot-diff.
Forking a session (/ruflo-browser fork) and replaying the parent before mutating.

Steps

Locate the source session:

bash
npx -y ruvector@0.2.25 rvf status <session-id>.rvf

Load the trajectory:

bash
Read .../trajectory.ndjson

Each line is {ts, action, args, selector, result}.

Open a fresh browser via mcp__plugin_ruflo-core_ruflo__browser_open (target URL = original or --url override).
For each trajectory step, dispatch the matching MCP tool (browser_click, browser_fill, browser_eval, etc.) with the recorded args.

On selector miss, do not fail immediately — query the browser-selectors namespace for an embedding-similar selector for the same <host>:<intent> and retry once:

bash
npx -y @claude-flow/cli@latest memory search --namespace browser-selectors \
  --query "<host> <intent>" --limit 5

Record a new trajectory for the replay run (allocate a fresh RVF container, lineage-tracked via rvf derive).
Verdict: tally matched-step / total-step ratio. Default tolerance threshold is 0.85 (configurable via --tolerance). Verdict goes into findings.md.

Caveats

Browserbase explicitly does not offer replay (rrweb session replay was deprecated). We're betting on selector-embedding recovery; expect noise on heavily drifted sites.
Network nondeterminism (timing, content variation) can produce false-fail verdicts. Use --mutate to inject expected variation or pin to a fixture.
For visual diff, chain into browser-screenshot-diff against the parent session id.
If selector recovery requires more than one retry per step, log it. That's the signal that the site needs a re-record, not a replay.

Frequently asked questions

What does the Browser Replay AI skill do?

Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift

Why use Browser Replay on TypingMind?

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

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

Which AI models can use Browser Replay?

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 Replay?

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

Is the Browser Replay 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Browser Replay

When to use

Steps

Caveats

Frequently asked questions

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