Borrowing it
Nothing to install: this file belongs to lexmount/browseruse-agent-bench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lexmount/browseruse-agent-bench/main/AGENTS.mdgit clone --depth 1 https://github.com/lexmount/browseruse-agent-benchWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/lexmount/browseruse-agent-bench/agents-md)<a href="https://agentmods.dev/instructions/lexmount/browseruse-agent-bench/agents-md"><img src="https://agentmods.dev/badge/instructions/lexmount/browseruse-agent-bench/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/lexmount/browseruse-agent-bench/agents-md"><img src="https://agentmods.dev/badge/instructions/lexmount/browseruse-agent-bench/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00386 | $0.00386 |
| Opus 5.5 | $0.00154 | $0.00154 |
| Sonnet 5.5 | $0.00077 | $0.00077 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
browseruse-agent-bench AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
browseruse_bench Agent Instructions
Python benchmark framework for browser agents and provider integrations.
Essentials
- Python version:
>=3.11(useuv, not system Python). - Install dev tools:
uv sync --extra dev. - Run tests:
uv run pytest tests/. - Run scripts:
uv run python .... - Make the smallest correct change with clear control flow.
- Keep optional dependency isolation in registry/router lazy-load factories.
- Keep provider modules direct and fail-fast when selected.
- Use
loggerfor logs; do not useprint(). - Catch specific exceptions only; do not use bare
except:orexcept Exception:. - Before committing agent-touching changes, run a real
bubench run --agent <agent> --data LexBench-Browser --mode single(not--dry-run, not pytest-only). See Smoke Testing Before Commit. - Before opening or updating a PR, complete the Mandatory Self-Review and tick the self-review checklist in the PR template. This applies to humans and coding agents alike.
Detailed Instructions
- Coding Style and Control Flow
- Architecture and Boundaries
- Imports, Runtime, and Configuration
- Error Handling and Testing
- PR Auto-Fix Loop (opt-in) — watch your PR for new review threads, auto-fix, push. Opt-in per-PR, not a default behavior.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 26 lines · 386 tokens per session scan A 8ff32523d95d
browseruse-agent-bench AGENTS.md is an instructions file published in the GitHub repository lexmount/browseruse-agent-bench (21 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 386 tokens to every session, about $0.0015 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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