BrowserAct Skills - An open-source AI Agent browser automation CLI tool

What are BrowserAct Skills?

BrowserAct Skills is a browser automation CLI tool for AI agents, addressing core pain points when agents control browsers, such as cookie-free environments, anti-scraping interception, CAPTCHA blocking, and gaps in human-computer collaboration. The tool employs a three-layered, progressive architecture—environment layer, execution layer, and human layer—allowing agents to stably execute tasks in a real browser environment.

Main functions of BrowserAct Skills

• Anti-detection environmentSupports both command-line and visual control modes, bypassing anti-crawling mechanisms and avoiding being identified as a bot.
• Three-layer progressive structureThe environment layer is responsible for fingerprint spoofing, TLS rotation, and proxy switching; the execution layer automatically cracks CAPTCHAs and stealthily extracts protected pages; the human layer generates remote assistance links, and after the user takes over from any device, the agent seamlessly continues the task.
• Three browser modes:chrome Mode reuse local login state,stealth Privacy mode is used for batch data scraping without logging in.stealth Fixed identity mode is used for multiple browsers with logged-in accounts running concurrently.
• Multi-account isolationBy using Stealth Browser + Static Proxy, each account runs in an independent browser environment, bound to an independent login state and network environment.
• Concurrent zero interferenceWhen operating in parallel across browsers, cookies, fingerprints, and proxies are completely independent; when operating in multiple sessions within the same browser, the login state is shared but execution does not block each other.
• Skill-Forge extensionAutomatically explores the target website's API and data paths, generating reusable skill packages. The Agent can then directly reuse the verified paths to execute batch tasks.

The technical principles of BrowserAct Skills

• Environmental camouflageBy using dynamic browser fingerprinting, TLS fingerprint rotation, and residential proxy switching, each session presents the network characteristics of a real user, thus circumventing anti-bot detection.
• Execution layer penetrationIt features a built-in automatic CAPTCHA parsing engine and a hidden data extraction channel, allowing the agent to directly capture the content of protected pages without manual intervention.
• Artificial layer continuationWhen a task encounters obstacles, a real-time remote collaboration link is generated. After the user intervenes and completes the task, the system automatically restores the session context, achieving seamless human-machine handover.
• Indexed interactionThis maps page elements to compact numerical indices, allowing the agent to manipulate the browser via numbered instructions without parsing the DOM or loading the accessibility tree.
• Semantic memoryEach browser session is bound to a description tag, and the Agent automatically matches the most suitable browser environment to perform the operation based on the task semantics.

How to use BrowserAct Skills

• Environmental preparationEnsure your system is Windows, macOS, or Linux, and that an AI Agent that supports Shell commands is installed.
• One-click installationGive the Agent the command to "Install browser-act" and provide the GitHub Skill source address. The Agent will automatically complete the installation and verification.
• Environmental DetectionAfter installation, the Agent will automatically obtain the environment status, browser list, and available commands at the start of each session.
• Extract PageThe Agent can be directly instructed to perform the task of "extracting the content of a webpage". BrowserAct will automatically crawl the protected page in zero-configuration mode.
• Create a sessionInstruct the Agent to open a specific website and create a named session, where all subsequent operations will be performed independently within that session.
• Check statusThe Agent returns an indexed list of interactive elements on the current page, allowing the user to understand the page structure without parsing the DOM.
• Execute operationAgents precisely control the browser through indexed instructions (such as clicking the third element or entering text in the second input box).
• Mode SelectionDepending on the task requirements, the Agent can switch between three browser modes: reuse local Chrome login state, batch capture of privacy data, or parallel operation of multiple accounts with a fixed identity.
• Install extensionsTo automatically generate reusable skills, have the Agent install the browser-act-skill-forge extension, and then simply describe the target website and data fields.
• Human-machine relayWhen encountering a verification code or QR code login, the Agent automatically generates a remote assistance link. After you complete the operation from any device, the Agent seamlessly continues the task.
• Security ConfirmationWhen performing sensitive operations such as browser creation/deletion, profile import, or proxy changes, you must explicitly approve each operation independently; previous authorizations are not automatically inherited.

BrowserAct Skills' core advantages

• Human-machine relay continues uninterrupted: The only built-in remote-assist The remote collaboration link generates a real-time connection when a verification code or QR code is encountered. After the user takes over the operation from any device and completes it, the Agent seamlessly continues the task without interruption or error.
• Three-layer progressive reverse detectionThe system consists of an environment layer, an execution layer, and a human layer, covering the entire spectrum from purely automated systems to those requiring human intervention. Most anti-crawling mechanisms are neutralized before reaching the agent.
• Agent native high-efficiency interactionUse indexing instructionsclick 3 / input 2 "..."The Agent does not need to parse the DOM or load the Accessibility Tree, and the Token is significantly more efficient than natural language or JSON/HTML output solutions.
• Skill Self-precipitation and ReuseSkill-Forge automatically explores the target website's API and data paths, generating deployable skill packages; subsequent batch tasks can directly reuse the verified paths for execution, without the Agent needing to re-understand the page structure each time.

BrowserAct Skills project address

• GitHub repositoryhttps://github.com/browser-act/skills

Comparison of BrowserAct Skills with similar products

Application scenarios of BrowserAct Skills

• Automated data collectionIt allows users to reuse existing login states to access the backend of official accounts, Zhihu, Xiaohongshu, etc., and extract article data and user information without having to scan QR codes repeatedly.
• Bypassing anti-crawling mechanismsIt can normally crawl content on platforms with strict anti-scraping measures, such as Xiaohongshu, and automatically process dynamic pages.
• Human-machine relay collaborationWhen encountering a verification code or QR code login, a remote assistance link is generated. After the user completes the operation, the Agent automatically resumes the connection without interrupting the task flow.
• Multi-account matrix operationE-commerce stores and social media accounts should operate independently to avoid cross-contamination of the environment.
• Mass skill accumulationSkill-Forge allows you to solidify repetitive website operations into reusable skills for batch execution later.