opensteer

opensteer is a skill for Claude Code, Codex from steerlabs/opensteer. It costs 31 tokens per session (1,617 once invoked), scanned A, original, MIT.

A command-line tool for controlling a web browser through its developer connection. It can open pages and inspect, automate, test, or extract information from them.

In plain words
What is it for?
Use it to open websites, inspect page state, automate clicks and typing, test browser behavior, and scrape page content.
Why use it?
It lets coding agents interact with live web pages instead of working only with source files or static requests.

Skill for Claude CodeCodex

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 skills/steerlabs/opensteer/agent_skills
Any agent
npx skills add steerlabs/opensteer --skill agent_skills
Clone the repo
git clone --depth 1 https://github.com/steerlabs/opensteer

Made for: Claude Code, Codex.

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 opensteer

README.md
[![agentmods](https://agentmods.dev/badge/skills/steerlabs/opensteer/agent_skills.svg)](https://agentmods.dev/skills/steerlabs/opensteer/agent_skills)
Your own site
<a href="https://agentmods.dev/skills/steerlabs/opensteer/agent_skills"><img src="https://agentmods.dev/badge/skills/steerlabs/opensteer/agent_skills.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,617 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00031 $0.01617
Opus 5 $0.00015 $0.00809
Sonnet 5 $0.00006 $0.00323
Haiku 4.5 $0.00003 $0.00162

Measured 5d ago against content hash a77a8797d06b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

opensteer 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 5d 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.

opensteer/agent_skills/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Opensteer

Opensteer is a global browser-control runtime. It exposes small CDP primitives to agents and harness packs.

Usage

opensteer -c "open_browser(profile='fresh'); new_tab('https://example.com'); print(page_info())"

Python snippets run with helpers pre-imported:

opensteer -c "new_tab('https://docs.opensteer.com'); wait_for_load(); print(page_info())"

For harness code, import helpers from the installed package:

from opensteer.helpers import goto_url, js, click_at_xy, type_text, wait_for_load

Explicit Browser Sessions

For browser work, explicitly choose the browser profile and reuse mode. The returned handle is bound to exactly one platform session, and its stable identity makes the browser reusable by later CLI invocations and later agent runs:

opensteer -c "browser = open_browser(label='research', profile='fresh'); browser.new_tab('https://example.com')"
opensteer -c "browser = open_browser(label='work', profileId='bp_...'); print(browser.page_info())"
opensteer -c "browser = open_browser(profileId='bp_...'); print(browser.page_info())"

Use profile='auto' only when you deliberately want the platform to select the sole granted profile (or an unprofiled browser when no grants exist). mode='reuse' is the default. It selects the stable primary browser for this agent, location, and profile. label is optional mutable display metadata: an explicit different label renames that same browser in the UI; omitting it preserves the current label. It never selects or creates a different browser. Use mode='new' only when another independent logical browser is intentional.

profile='fresh' means no saved profile is attached. It does not guarantee a new, clean, or signed-out browser because mode='reuse' may return a previously used unprofiled browser, including from an earlier run. Use profile='fresh', mode='new' when separate clean state is required.

Read helpers never create a cloud browser. If no browser is active, call open_browser(...) first.

Read the full file on GitHub · 161 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. 5d ago First seen · 161 lines · 31 tokens per session scan A a77a8797d06b

Subscribe to this mod's changes

opensteer is a skill published in the GitHub repository steerlabs/opensteer (202 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 1,617 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 2026-08-30.

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