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Browser Record

CommunityPopular
ruvnet
browser-record

Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action

Overview

Publisherruvnet
Repositoryruflo
Skill namebrowser-record
Stars
72.7K
Forks
8.6K
Bundled files
Instructions only
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.

  • 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 Record 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-record .claude/skills/browser-record
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Browser Record 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 Record 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 Record 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 Record

Primitive on which every other browser skill composes. Opens a named browser session, allocates an RVF container for it, and binds every action to a ruvector trajectory step. You do not run a browser session in this plugin without invoking this skill (or one that wraps it).

When to use

  • Starting any browser interaction that is not a one-off throwaway probe.
  • Exploring a site interactively while preserving the trace for later replay or analysis.
  • Establishing a reusable session that downstream skills (browser-extract, browser-form-fill, browser-test) will compose.

Steps

  1. Allocate session id and RVF container:
    bash
    SID="$(date +%Y%m%d-%H%M%S)-${TASK_SLUG:-record}"
    npx -y ruvector@0.2.25 rvf create "$SID.rvf" --dimension 384
    npx -y ruvector@0.2.25 hooks trajectory-begin --session-id "$SID" --task "$1"
  2. Open the browser via mcp__plugin_ruflo-core_ruflo__browser_open with the URL.
  3. Snapshot the initial state: browser_snapshot for the accessibility tree, browser_screenshot for a baseline image.
  4. For each interaction, record a trajectory step before and after:
    bash
    npx -y ruvector@0.2.25 hooks trajectory-step \
      --session-id "$SID" --action click --args '{"selector":"#login"}' --result ok
  5. End cleanly:
    bash
    npx -y ruvector@0.2.25 hooks trajectory-end --session-id "$SID" --verdict pass
    npx -y ruvector@0.2.25 rvf compact "$SID.rvf"
  6. Index in AgentDB under browser-sessions:
    bash
    npx -y @claude-flow/cli@latest memory store --namespace browser-sessions \
      --key "$SID" --value "{rvf_id:$SID,host:...,task:...,verdict:pass}"

Caveats

  • Until the browser_session_record MCP tool ships (ADR-0001 §7), this skill drives the lifecycle from inside its own bash steps. Do not call mcp__plugin_ruflo-core_ruflo__browser_open directly without these wrappers.
  • The session id format is fixed: <YYYYMMDD-HHMMSS>-<task-slug>. Downstream /ruflo-browser ls parses this.
  • --with-dom is expensive (full HTML dump per nav). Off by default.
  • AIDefence gates apply at extraction time, not at navigation time. browser-record is a primitive; redaction is the responsibility of skills that read content (browser-extract, browser-test).

Frequently asked questions

What does the Browser Record AI skill do?

Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action

Why use Browser Record on TypingMind?

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

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

Which AI models can use Browser Record?

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 Record?

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

Is the Browser Record 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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