agent-browser AGENTS.md

Project instructions for contributing to the agent-browser codebase, including its package manager, coding conventions, documentation rules, and command-line interface standards. agent-browser is a browser automation project.

In plain words
What is it for?
Choosing pnpm for package tasks, following code and documentation conventions, and checking that new command-line options and user-facing behavior are documented consistently.
Why use it?
It gives coding agents the repository-specific rules needed to make compatible changes. This helps keep commands, documentation, and code consistent with the project.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/vercel-labs/agent-browser/agents-md
Clone the repo
git clone --depth 1 https://github.com/vercel-labs/agent-browser

Made for: Codex, OpenCode.

Per session 2,259 This file is loaded in full into every session.
When invoked 2,259 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.02259 $0.02259
Opus 5 $0.01130 $0.01130
Sonnet 5 $0.00452 $0.00452
Haiku 4.5 $0.00226 $0.00226

Measured 3d ago against content hash ddc141989d48, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-browser 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 3d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for AI coding agents working with this codebase.

Package Manager

This project uses pnpm. Always use pnpm instead of npm or yarn for installing dependencies, running scripts, etc. (e.g., pnpm install, pnpm run build).

Code Style

  • Do not use emojis in code, output, or documentation. Unicode symbols (✓, ✗, →, ⚠) are acceptable.
  • In documentation and markdown, never use double hyphens (--) as a dash. Use an emdash (—) sparingly when needed. Prefer rewriting the sentence to avoid dashes entirely.
  • CLI colored output uses cli/src/color.rs. This module respects the NO_COLOR environment variable. Never use hardcoded ANSI color codes.
  • CLI flags must always use kebab-case (e.g., --auto-connect, --allow-file-access). Never use camelCase for flags (e.g., --autoConnect is wrong).

Documentation

Do not hard-wrap prose in documentation files such as Markdown, MDX, and READMEs; let the editor or renderer wrap text naturally.

When adding or changing user-facing features (new flags, commands, behaviors, environment variables, etc.), update all of the following:

  1. cli/src/output.rs--help output (flags list, examples, environment variables)
  2. README.md — Options table, relevant feature sections, examples
  3. skill-data/core/SKILL.md (and its references/) — so AI agents know about the feature when they load the core skill. Edit skill-data/core/SKILL.md for overview/workflow changes; edit skill-data/core/references/*.md for detailed reference content. Do not put feature content in skills/agent-browser/SKILL.md — that file is an intentionally thin discovery stub for npx skills add and exists only to redirect agents to agent-browser skills get core.
  4. docs/src/app/ — the Next.js docs site (MDX pages)
  5. Inline doc comments in the relevant source files

This applies to changes that either human users or AI agents would need to know about. Do not skip any of these locations.

CLI/MCP Parity

Read the full file on GitHub · 215 lines

Changes

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.

  1. 3d ago First seen · 215 lines · 2,259 tokens per session scan A ddc141989d48

Subscribe to this mod's changes

agent-browser AGENTS.md is an instructions file published in the GitHub repository vercel-labs/agent-browser (41,715 stars, last pushed today), licensed Apache-2.0. It adds 2,259 tokens to every session, about $0.0113 per session on Opus 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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