browser-use

Rl Env Use — Development skill for Claude Code

Development community

Build RL environments for any domain from real cases that Browser Use agents mine from the web.

How to install Rl Env Use

This entry records only its repository, not the path inside it, so there is no exact command to give. Open browser-use/rl-env-use and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Rl Env Use does

Build RL environments for any domain from real cases that Browser Use agents mine from the web.

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README

rl-env-use: one line in, a verified RL environment out

rl-env-use

Introducing **rl-env-use**: RL environments for anyone and any domain.

Describe a skill in one line. Get a verified environment that frontier models do not saturate, and a hillclimbed prompt for the model you train. Built on Anthropic's [Automating eval design and hillclimbing](https://claude.dev/blog/automating-eval-design-and-hillclimbing/) workflow, with one change: the tasks are real cases that [Browser Use](https://browser-use.com) agents mine from the web.

Missions	Claude Code	Browser Use
8 x clinical trial results	0 of 86 facts verified	17 verified, 4 complete cases
6 x clinical trial results, same model both sides	0 of 43	3 verified, 2 complete cases
8 x human genetic variants (UniProt, gnomAD, GTEx)	6 of 82	40 verified

Get a Browser Use API key at [Browser Use Cloud](https://cloud.browser-use.com/?utm_campaign=rl-env-use&utm_source=github).

What it does

Mines real cases: Browser Use agents find the materials (a trial protocol, a 10-Q) and the outcome published later
Writes hard tasks: gold answers computed by code, anything a frontier panel solves gets rewritten harder
Rejects bad tasks: leaked answers, memorized outcomes, ambiguous prompts
Hillclimbs a model's system prompt with a train/test split, a noise floor and paired confidence intervals
Exports the dataset for an RL trainer, or serves it in code with Env

Setup prompt

For Claude Code / Codex / OpenCode:

Set up https://github.com/browser-use/rl-env-use for me.

Read install.md first to install this repo, register the skill, and set up the Browser Use and OpenRouter API keys - ask me to paste them when you need them. Then read SKILL.md for daily usage. After install, don't build anything on your own - just tell me it's