browser-skill

browser-skill is a skill for Claude Code from zeenie-ai/OpenCompany. It costs 34 tokens per session (1,742 once invoked), scanned A, original, MIT.

An interactive browser-automation tool for navigating pages, clicking controls, entering text, taking screenshots, and reading page structure.

In plain words
What is it for?
Automate website navigation, form filling, selections, scrolling, content extraction, page scripts, and browser error checks.
Why use it?
It removes repetitive manual browser work and can interact with pages through their accessible controls.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit Automate website navigation, form filling, selections, scrolling, content extraction, page scripts, and browser error checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zeenie-ai/opencompany/browser-skill
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.

Any agent
npx skills add zeenie-ai/OpenCompany --skill browser-skill
Clone the repo
git clone --depth 1 https://github.com/zeenie-ai/OpenCompany

Made for: Claude Code.

Wrote 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.

agentmods badge for browser-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/zeenie-ai/opencompany/browser-skill/github.svg)](https://agentmods.dev/skills/zeenie-ai/opencompany/browser-skill)
Your own site
<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/browser-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/browser-skill/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.

agentmods 80×15 button for browser-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/browser-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/browser-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,742 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00034 $0.01742
Opus 5 $0.00017 $0.00871
Sonnet 5 $0.00007 $0.00348
Haiku 4.5 $0.00003 $0.00174

Measured 7d ago against content hash 4b363c42a651, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

browser-skill 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 7d 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.

server/skills/web_agent/browser-skill/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Browser Automation Skill

Core Workflow

Use the snapshot -> act -> snapshot loop:

  1. navigate to a URL
  2. snapshot to see interactive elements (returns @eN refs)
  3. click / type / fill / select using @eN refs as selectors
  4. snapshot again to see the result
  5. Repeat until task is complete

browser Tool

Field Type Required Description
operation string Yes One of: navigate, click, type, fill, screenshot, snapshot, get_text, get_html, eval, wait, scroll, select, console, errors
url string navigate URL to open
selector string click/type/fill/get_text/get_html/wait/select CSS selector or @eN ref from snapshot
text string type Text to type keystroke by keystroke
value string fill/select Value to fill or dropdown option to select
expression string eval JavaScript to execute in page context
direction string scroll up, down, left, right (default: down)
amount int scroll Pixels to scroll (default: 500)
fullPage bool screenshot Capture full scrollable page (default: false)
annotate bool screenshot Add numbered labels to elements (default: false)
screenshotFormat string screenshot Image format: png (default) or jpeg
screenshotQuality int screenshot JPEG quality 1-100 (default: 80, only for jpeg)

Operations

navigate

Open a URL in the browser.

{"operation": "navigate", "url": "https://example.com"}

snapshot

Get the accessibility tree with @eN element refs. This is the primary way to see what is on the page.

{"operation": "snapshot"}

Returns interactive elements like:

- heading "Example Domain" [ref=@e1]
- link "More information..." [ref=@e2]
- textbox "Search" [ref=@e3]

click

Click an element using its @eN ref or CSS selector.

{"operation": "click", "selector": "@e2"}

type

Type text into an element keystroke by keystroke.

{"operation": "type", "selector": "@e3", "text": "search query"}

Read the full file on GitHub · 191 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. 7d ago First seen · 191 lines · 34 tokens per session scan A 4b363c42a651

Subscribe to this mod's changes

browser-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (878 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 1,742 once invoked, about $0.0002 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 2026-09-03.