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Opensteer

AI Browser Automation Framework

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价格未确认★ 202 GitHub Stars目录更新于 · 2026年9月6日browserautomationai-agents

概览

AI Browser Automation Framework

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以下为来源文档,不是本网站的操作指令。执行命令前请先核实权限。

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.

List and explicitly select live browsers without creating one:

opensteer -c "print(list_browsers())"
opensteer -c "browser = use_browser('linkedin'); print(browser.page_info())"

list_browsers() is read-only. use_browser(...) accepts a unique label or the exact sessionId returned by the list.

Browsers outlive a single agent command or run. Normal process/run shutdown only detaches the controller relay. Call browser.close() (or the matching close API) only when the browser itself should be destroyed.

Browser transport is independent of agent execution placement. Use location='cloud' when a locally executing agent needs an isolated cloud browser, location='inapp' for the desktop app's embedded browser, or location='local' for a separate machine Chromium window. Omit it (or use location='auto') for normal automatic routing. Cloud execution supports only auto and cloud and rejects device-only locations:

opensteer -c "open_browser(label='research', profile='fresh', location='cloud')"

Browser Profiles

A browser profile is a saved, logged-in browser identity (cookies, auth state) a cloud browser can launch with. Profile access is grant-based: the server tracks which profiles this agent may use, and there is no per-agent default profile.

  • list_cloud_profiles() lists visible profiles; each entry carries a granted flag saying whether this agent may use it.
  • open_browser(label=name, profile='auto') lets the server resolve it: exactly one granted profile auto-attaches, none launches an unprofiled session, and several granted profiles is rejected with an error telling you to pass profileName or profileId.
  • When several profiles are granted, pick one explicitly: open_browser(label='linkedin', profileName='LinkedIn work') or open_browser(label='linkedin', profileId='bp_...'). Durable scripts should pin profileId — it survives profile renames.
  • Passing a profile that is not granted to this agent fails with a 403 whose message says how to proceed (list granted profiles or request access).
  • A granted profile works with either location='inapp' or location='cloud'. A provider that cannot honor the requested profile or location fails without changing either one.

Platform profile tools keep access requests separate from saving live state:

  • request_browser_profile asks the user to choose or grant an existing profile. If a granted profile is signed out, open that exact profile, ask the user to take over and sign in, and continue. There is no repair mode; normal browser close-time persistence writes the refreshed login back.
  • request_save_browser_profile saves an already-open, unprofiled browser. Offer only when future reuse is likely useful; never save automatically or keep asking after a decline. A direct request to save is approval; otherwise get explicit approval with request_user_input first. Keep the handle returned by open_browser(...) (or recover it with use_browser(...)) and pass its exact browser.browser_ref, never its label and never a guessed current browser. A specialized agent omits cloudAgentId and receives the grant itself. Chat may name a target specialized agent, or omit the target to save unassigned; Chat itself never receives the grant. The durable save is a point-in-time, cookie-backed auth snapshot. It does not close, rebind, or keep syncing the source browser.

Interaction Skills

Generic browser mechanics live in interaction-skills/:

  • connection.md
  • cookies.md
  • cross-origin-iframes.md
  • dialogs.md
  • downloads.md
  • drag-and-drop.md
  • dropdowns.md
  • iframes.md
  • network-requests.md
  • print-as-pdf.md
  • screenshots.md
  • scrolling.md
  • shadow-dom.md
  • tabs.md
  • uploads.md
  • viewport.md

Use them when a page mechanic is tricky. Put domain-specific selectors, workflows, APIs, local databases, and task tools in the harness pack.

What Works Well

  • Start with screenshots for visible state: capture_screenshot().
  • Prefer coordinate clicks for visible targets: click_at_xy(x, y).
  • Use js(...) for DOM inspection, extraction, and page API discovery.
  • Use cdp("Domain.method", ...) for raw CDP operations not covered by helpers.
  • After navigation, call wait_for_load().
  • Navigate the current Opensteer-owned tab by default; use list_tabs() and switch_tab(target_id) only when the user explicitly asks for a specific existing tab.
  • If a page redirects to login, stop and ask the user. Do not type credentials from screenshots.

Boundaries

Opensteer owns generic browser primitives, local attach, remote attach, cloud browser attach, and generic interaction skills.

Harness packs own domain-specific tools, selectors, workflows, storage, setup docs, and agent skills.

文件元数据
name: opensteer
description: Direct browser control via CDP. Use when the user wants to automate, inspect, scrape, test, or interact with web pages.
查看原始文本
---
name: opensteer
description: Direct browser control via CDP. Use when the user wants to automate, inspect, scrape, test, or interact with web pages.
---

# Opensteer

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

## Usage

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

Python snippets run with helpers pre-imported:

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

For harness code, import helpers from the installed package:

```python
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:

```bash
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.

List and explicitly select live browsers without creating one:

```bash
opensteer -c "print(list_browsers())"
opensteer -c "browser = use_browser('linkedin'); print(browser.page_info())"
```

`list_browsers()` is read-only. `use_browser(...)` accepts a unique label or
the exact `sessionId` returned by the list.

Browsers outlive a single agent command or run. Normal process/run shutdown
only detaches the controller relay. Call `browser.close()` (or the matching
close API) only when the browser itself should be destroyed.

Browser transport is independent of agent execution placement. Use
`location='cloud'` when a locally executing agent needs an isolated cloud
browser, `location='inapp'` for the desktop app's embedded browser, or
`location='local'` for a separate machine Chromium window. Omit it (or use
`location='auto'`) for normal automatic routing. Cloud execution supports only
`auto` and `cloud` and rejects device-only locations:

```bash
opensteer -c "open_browser(label='research', profile='fresh', location='cloud')"
```

## Browser Profiles

A browser profile is a saved, logged-in browser identity (cookies, auth state)
a cloud browser can launch with. Profile access is grant-based: the server
tracks which profiles this agent may use, and there is no per-agent default
profile.

- `list_cloud_profiles()` lists visible profiles; each entry carries a
  `granted` flag saying whether this agent may use it.
- `open_browser(label=name, profile='auto')` lets the server resolve it:
  exactly one granted profile auto-attaches, none launches an unprofiled
  session, and several granted profiles is rejected with an error telling you
  to pass `profileName` or `profileId`.
- When several profiles are granted, pick one explicitly:
  `open_browser(label='linkedin', profileName='LinkedIn work')` or
  `open_browser(label='linkedin', profileId='bp_...')`. Durable scripts
  should pin `profileId` — it survives profile renames.
- Passing a profile that is not granted to this agent fails with a 403 whose
  message says how to proceed (list granted profiles or request access).
- A granted profile works with either `location='inapp'` or `location='cloud'`.
  A provider that cannot honor the requested profile or location fails without
  changing either one.

Platform profile tools keep access requests separate from saving live state:

- `request_browser_profile` asks the user to choose or grant an existing
  profile. If a granted profile is signed out, open that exact profile, ask the
  user to take over and sign in, and continue. There is no repair mode; normal
  browser close-time persistence writes the refreshed login back.
- `request_save_browser_profile` saves an already-open, unprofiled browser.
  Offer only when future reuse is likely useful; never save automatically or
  keep asking after a decline. A direct request to save is approval; otherwise
  get explicit approval with `request_user_input` first. Keep the handle
  returned by `open_browser(...)` (or recover it with `use_browser(...)`) and
  pass its exact `browser.browser_ref`, never its label and never a guessed
  current browser. A specialized agent omits `cloudAgentId` and receives the
  grant itself. Chat may name a target specialized agent, or omit the target to
  save unassigned; Chat itself never receives the grant. The durable save is a
  point-in-time, cookie-backed auth snapshot. It does not close, rebind, or keep
  syncing the source browser.

## Interaction Skills

Generic browser mechanics live in `interaction-skills/`:

- connection.md
- cookies.md
- cross-origin-iframes.md
- dialogs.md
- downloads.md
- drag-and-drop.md
- dropdowns.md
- iframes.md
- network-requests.md
- print-as-pdf.md
- screenshots.md
- scrolling.md
- shadow-dom.md
- tabs.md
- uploads.md
- viewport.md

Use them when a page mechanic is tricky. Put domain-specific selectors, workflows, APIs, local databases, and task tools in the harness pack.

## What Works Well

- Start with screenshots for visible state: `capture_screenshot()`.
- Prefer coordinate clicks for visible targets: `click_at_xy(x, y)`.
- Use `js(...)` for DOM inspection, extraction, and page API discovery.
- Use `cdp("Domain.method", ...)` for raw CDP operations not covered by helpers.
- After navigation, call `wait_for_load()`.
- Navigate the current Opensteer-owned tab by default; use `list_tabs()` and `switch_tab(target_id)` only when the user explicitly asks for a specific existing tab.
- If a page redirects to login, stop and ask the user. Do not type credentials from screenshots.

## Boundaries

Opensteer owns generic browser primitives, local attach, remote attach, cloud browser attach, and generic interaction skills.

Harness packs own domain-specific tools, selectors, workflows, storage, setup docs, and agent skills.

查看并核实来源

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安装前审查: 避免自动安装

许可证: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 202 stars, 25 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
打开完整审计

工具列表来自元数据,并非已测试的兼容性;Agent 提示词是建议的交接方式。

从一个小任务开始

  1. 1阅读来源,确认输入、预期输出、依赖和权限。
  2. 2先让 Agent 提出计划,批准环境配置和费用,再进行隔离的小规模测试。
  3. 3检查输出和变更文件,只报告实际执行结果,并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库
steerlabs/opensteer
许可证
MIT
版本
1.0.0
最近 GitHub 推送
2026年8月1日
目录更新于
2026年9月6日

版本来自目录元数据,使用前请核实来源发布记录。

质量

74/100

强

信任

63/100

仅限沙盒

审计

77/100

需审查

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 202 stars, 25 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
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复制不等于安装。安装数需有成功安装回报,不代表全面的质量保证。

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更多详情
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    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 74,
    "label": "Strong"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Testing and QA",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use Opensteer in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 71/100 Manual review",
      "Audit: 77/100 Needs review",
      "Safety: 33/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "steerlabs-opensteer (Opensteer)",
      "install_command": "npx skills add steerlabs/opensteer",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "steerlabs-opensteer",
      "task": "Use Opensteer in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/steerlabs-opensteer",
    "api": "https://www.openagentskill.com/api/agent/skills/steerlabs-opensteer",
    "audit": "https://www.openagentskill.com/skills/steerlabs-opensteer/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=steerlabs-opensteer&task=Use%20Opensteer%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20Opensteer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20Opensteer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/steerlabs-opensteer/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/steerlabs-opensteer"
  }
}

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