agentleFS
MicrosoftKnown publishermicrosoft/amplifier-smart-tool-reality-check/src/reality_check/skills/using-browser/SKILL.md

using-browser

Skill2 starsChanged 9 days agoMITView on GitHub

Drive a web app's real UI in a headless browser through the agent-browser CLI: open pages, read them, click and type, and screenshot them. Use for any software with a web UI.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before the first command, learn it from the CLI itself.

    line 11

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

agent-browser drives a headless browser. Use it for every web UI rather than curl or reading the HTML.

Before the first command, learn it from the CLI itself; it describes the version installed:

agent-browser skills list
agent-browser skills get core
agent-browser skills get dogfood     # for exploratory checks
  • Pass the session from your prompt on every command: --session <session>. For a second browser, such as another user's, use --session <session>-<role>. Flows that run in parallel, in scripts or sub-agents, each take their own, such as --session <session>-2, so their pages and cookies do not clash.
  • Save screenshots into the evidence folder by path.
  • This machine's trusted certificates are already handed to the browser. Do not turn off HTTPS checks.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.