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Agent Browser

Community
ahmadrosid
agent-browser

Use for login-walled portals and headless browser automation with agent-browser. Skip public HTTP reading and explain-only questions.

Overview

Publisherahmadrosid
Repositorynakama
Skill nameagent-browser
Stars
492
Forks
91
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 ahmadrosid on GitHub. Read the source before you install it.

Installation

Install the Agent 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/ahmadrosid/nakama/tree/main/packages/core/src/skills/bundled/agent-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/ahmadrosid/nakama.git /tmp/nakama
mkdir -p .claude/skills
cp -r /tmp/nakama/packages/core/src/skills/bundled/agent-browser .claude/skills/agent-browser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent 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 Agent 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 Agent 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.

Use this skill when the task needs a real browser: login walls, forms, multi-step UI, or pages that web_fetch / web_search cannot reach.

Keep ordinary web work local:

  • Use web_fetch for a single public HTTP(S) page that does not require login or interaction.
  • Use web_search to discover sources.
  • Do not open a browser just to read a public doc page.

Prerequisites

  • This profile must have the bash tool assigned.
  • The host must have the agent-browser CLI and Chrome installed:
bash
npm install -g agent-browser
agent-browser install

If bash returns command not found, ENOENT, or similar for agent-browser, tell the operator to run the install commands above (and agent-browser install --with-deps on Linux if Chrome libraries are missing). Do not invent a different browser tool.

Optional: CloakBrowser (stealth Chromium)

Stock Chrome from agent-browser install is the default. Use CloakBrowser only when the site blocks that Chrome (bot detection / antibot). Cloak is not the default and is not bundled with Nakama.

The operator installs Cloak on the same host that runs bash and points agent-browser at Cloak's binary:

bash
# Host env for the Nakama process (inherited by bash)
export AGENT_BROWSER_EXECUTABLE_PATH="/path/to/cloak-chromium"
export AGENT_BROWSER_ARGS="<stealth args from Cloak's agent-browser example>"

Get the binary path with python -m cloakbrowser info or npx cloakbrowser info after cloakbrowser install. Copy AGENT_BROWSER_ARGS from Cloak's agent-browser integration. Do not invent flags.

If those variables are unset, keep using stock Chrome. Do not pass Cloak paths in each bash env unless the operator asked you to override the host env for this run.

Browser workflow

Drive the browser with the bash tool. Multiple agent-browser commands in the same agent run share one daemon session — that is how login → navigate → act stays coherent.

  1. Open the target (or launch without a URL if you must set cookies first):
bash
agent-browser open https://example.com/login
  1. Snapshot for token-efficient element refs (prefer interactive/ref output):
bash
agent-browser snapshot -i
  1. Act by ref from the snapshot (@e1, @e2, …). Re-snapshot after navigation or major UI changes — stale refs fail:
bash
agent-browser fill @e3 "user@example.com"
agent-browser fill @e4 "secret"
agent-browser click @e5
agent-browser press Enter
  1. Wait when the UI is loading:
bash
agent-browser wait --load networkidle
  1. Optional screenshot — write under the profile workspace artifacts/ directory (bash cwd is the profile workspace). Prefer meaningful names; avoid capturing password fields:
bash
agent-browser screenshot artifacts/browser-page.png
  1. When the task is done (success or give-up), close the session so the next run starts fresh:
bash
agent-browser close

If the daemon looks stuck, agent-browser close --all or agent-browser doctor can help.

Timeouts

Default bash timeout is short. For browse/login steps, pass an explicit timeoutMs (tens of seconds to a few minutes per command as needed). Prefer one focused command per bash call so failures are easy to read.

Session policy (v1)

  • Within one run: reuse the same agent-browser daemon (do not close between every click).
  • Across runs: do not use --restore, state load, or persistent Chrome profiles unless the user explicitly asks in this conversation. Re-authenticate when the task requires it.
  • Always close at the end of the browser work in this run.

Credentials

  • Prefer credentials the user supplied in the prompt or already stored for this task.
  • Do not echo passwords or session tokens in your final summary.
  • Avoid screenshots of password fields.

After the run

  • Summarize what you did and what you learned in plain language.
  • If a command failed (non-zero exit, timeout, missing CLI), explain clearly and either retry with a fresh snapshot or ask the user / operator for help.

Frequently asked questions

What does the Agent Browser AI skill do?

Use for login-walled portals and headless browser automation with agent-browser. Skip public HTTP reading and explain-only questions.

Why use Agent Browser on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahmadrosid/nakama/tree/main/packages/core/src/skills/bundled/agent-browser. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent 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 Agent Browser?

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

Is the Agent Browser AI skill free?

Yes. It is published on GitHub by ahmadrosid 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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