agent-browser
agent-browser enables agents to interact with web pages autonomously, handling form submissions, element clicks, and multi-step navigation workflows. Built for cross-repository engineering practices, it provides the scaffolding needed to turn repetitive browser tasks into reliable automated processes.
agent-browser enables agents to interact with web pages autonomously, handling form submissions, element clicks, and multi-step navigation workflows. Built for cross-repository engineering practices, it provides the scaffolding needed to turn repetitive browser tasks into reliable automated processes. The tool is distributed under the MIT license, making it freely available for both open-source and commercial projects.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-06-15
agent-browser enables agents to interact with web pages autonomously, handling form submissions, element clicks, and multi-step navigation workflows. Built for cross-repository engineering practices, it provides the scaffolding needed to turn repetitive browser tasks into reliable automated processes. The tool is distributed under the MIT license, making it freely available for both open-source and commercial projects.
Use it when
- Yes.
- agent-browser manages authenticated sessions and persists login state across multiple browser sessions.
Verify before relying
Read SKILL.md below before installing (10 files). Open directory: indexed for reading, not audited.
Install
onsager-ai/dev-skills/agent-browser · repository language: Shell
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is agent-browser used for?
agent-browser enables agents to interact with web pages autonomously, handling form submissions, element clicks, and multi-step navigation workflows. Built for cross-repository engineering practices, it provides the scaffolding needed to turn repetitive browser tasks into reliable automated processes. The tool is distributed under the MIT license, making it freely available for both open-source and commercial projects.
Can agent-browser automate website interactions with a CLI?
Yes. agent-browser is designed to automate website interactions with CLI support, allowing you to programmatically fill forms, click buttons, and navigate pages without manual intervention. This makes it ideal for scripting repetitive web tasks and integrating browser automation into larger workflows or agent-based systems.
How does agent-browser handle login to websites and extract data?
agent-browser manages authenticated sessions and persists login state across multiple browser sessions, enabling you to maintain user credentials and session data throughout your automation workflow. Once authenticated, agent-browser can extract data and content from websites programmatically, allowing you to retrieve information from protected pages and authenticated areas of web applications.
What testing capabilities does agent-browser provide?
agent-browser supports testing web applications by simulating user actions and verifying results, making it suitable for automated quality assurance workflows. You can script complex user interactions—such as form fills, button clicks, and multi-step navigation—then validate that the application responds as expected, all without manual browser operation.
Can agent-browser capture visual evidence of web pages?
Yes. agent-browser can capture visual evidence through screenshots and recordings for debugging or documentation purposes. This feature is particularly useful when you need to document test results, create visual records of web scraping operations, or troubleshoot issues by reviewing snapshots of page state at different points in your automation workflow.
What makes agent-browser suitable for programmatic web interaction?
agent-browser is a programmatic web interaction tool that combines form filling, element clicking, navigation, and data extraction into a unified interface. Its design supports both simple single-page tasks and complex multi-step workflows, making it adaptable for scenarios ranging from web scraping and form automation to comprehensive web application testing and agent-driven browser control.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Browser Automation with agent-browser
Core Workflow
Every browser automation follows this pattern:
- Navigate:
agent-browser open <url> - Snapshot:
agent-browser snapshot -i(get element refs like@e1,@e2) - Interact: Use refs to click, fill, select
- Re-snapshot: After navigation or DOM changes, get fresh refs
```bash agent-browser open https://example.com/form agent-browser snapshot -i
Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit"
agent-browser fill @e1 "user@example.com" agent-browser fill @e2 "password123" agent-browser click
(truncated - see the full file via the links below)
File tree — 10 files
skills/agent-browser/SKILL.md
skills/agent-browser/references/authentication.md
skills/agent-browser/references/commands.md
skills/agent-browser/references/proxy-support.md
skills/agent-browser/references/session-management.md
skills/agent-browser/references/snapshot-refs.md
skills/agent-browser/references/video-recording.md
skills/agent-browser/templates/authenticated-session.sh
skills/agent-browser/templates/capture-workflow.sh
skills/agent-browser/templates/form-automation.sh
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Related skills
Agent Browser empowers AI agents to independently explore and interact with web content. This skill provides the foundation for autonomous navigation, allowing agents to fetch pages, parse HTML, click elements, and gather data without manual intervention. Perfect for building intelligent agents that need real-time web access.
Agent Browser equips AI assistants with web navigation and content retrieval capabilities, allowing them to fetch and analyze live web pages directly. This skill bridges the gap between language models and the internet, enabling agents to access current information and interact with web-based resources dynamically.
agent-browser enables Claude Code to interact with web browsers programmatically, handling clicks, text input, form submissions, and page navigation. Built for agentic workflows that need reliable browser automation, it bridges the gap between AI reasoning and real-world web tasks. Perfect for developers moving from manual scripting to autonomous agent-driven browser control.
agent-browser enables autonomous web automation by executing browser tasks through an intelligent agent runtime. Streamline repetitive workflows like form submission, element interaction, and page navigation without manual intervention. Built for developers who need reliable, scriptable control over web-based processes.
Agent Browser equips your AI agents with full web navigation and interaction abilities. Browse websites, click links, fill forms, and extract live content—all programmatically integrated into your agent's workflow. Perfect for research, data gathering, and dynamic web-based tasks.
agent-browser is a skill for automating browser-based workflows and web interactions through programmatic control. Built as part of an open-source AI agent framework, it enables you to orchestrate web tasks, integrate with large language models, and connect external tools into executable automation chains. Perfect for developers building intelligent agents that need to interact with web applications and handle complex browser operations at scale.
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