
Agent Browser
FreeInteract with web pages for verification tasks.
Free · Opens the source repo
What Agent Browser does
The Agent Browser skill enables users to control a real browser for the purpose of verifying web page behavior, capturing evidence, and extracting dynamic content that static requests cannot access. This skill is particularly useful for developers and testers who need to confirm UI changes, reproduce reported bugs, or validate acceptance criteria through interactive sessions. Unlike traditional scraping tools, Agent Browser is designed for supervised verification, ensuring that users can observe and interact with the web application in real-time.
With this skill, users can navigate to specific URLs, take screenshots, and monitor console and network activity to gather comprehensive evidence of a web page's state. It is ideal for scenarios where JavaScript-rendered content is necessary, or when a user needs to confirm that a particular UI flow behaves as expected. The skill supports various evidence capture methods, allowing users to document their findings effectively, whether it’s through screenshots or console logs.
However, it is crucial to note that Agent Browser is not suited for unattended automation or large-scale scraping tasks. It is best utilized in situations where human oversight is necessary, such as debugging or verifying changes on a staging server. Users should also be cautious when dealing with login-gated pages, ensuring they have the necessary credentials and comply with the site's terms of service. Overall, Agent Browser serves as a powerful tool for developers and QA engineers looking to enhance their web verification processes.
When to use it
Use this skill when you need to verify UI changes, reproduce bugs, or interact with dynamic web content.
When not to use it
Avoid using this skill for static HTML pages or large-scale scraping tasks that require unattended automation.
What you can build with it
Verifying UI Changes
Use Agent Browser to navigate to a deployed page and take screenshots to confirm recent UI updates.
Debugging Reported Bugs
Interactively reproduce a user-reported bug, capturing console errors and network responses for analysis.
Validating Acceptance Criteria
Walk through a defined user flow to verify that all acceptance criteria are met, documenting each step.
How to install Agent Browser
View source1. Install with the skills CLI
npx skills add paperclipai/paperclip/agent-browser --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by paperclipaiAgent Browser
Use a controlled browser to verify behavior, capture evidence, or extract information from web pages that a static fetch cannot reach (SPAs, login-gated pages, dynamic content). This skill is about supervised verification, not unattended scraping.
When to use
- You need a screenshot of a deployed page or a local dev server to confirm a UI change.
- You need to read JavaScript-rendered content that
curl/wgetwill not see. - A user reports a UI bug and you need to reproduce it interactively to capture console errors, network requests, or layout state.
- You need to walk through a short flow (load page, click, observe) to verify acceptance criteria.
When not to use
- The page is reachable as static HTML. Use
curl/HTTP fetch — it is cheaper, faster, and more reliable. - The task is unattended large-scale scraping. That belongs to a dedicated scraper with rate limits, robots.txt handling, and a real user agent policy — not this skill.
- The site is behind authentication you do not own credentials for, or whose terms of service prohibit automation.
- The site involves sensitive accounts (banking, healthcare, government) where automation risks lockout or compliance issues.
Before launching the browser
- Confirm the URL and what state should be true after navigation.
- Decide what evidence is needed: full-page screenshot, viewport screenshot, console log, network trace, HTML snapshot, extracted text.
- Decide the viewport size that matters for the task (mobile vs desktop). Default to a desktop size unless the task is mobile-specific.
- For local dev servers, confirm the server is running and the port is what you expect.
Driving the browser
A typical verification session:
- Launch with a real-looking user agent when the target is the public internet; an unrealistic UA flags automation traffic.
- Set a sane viewport (e.g., 1366×768 desktop, 390×844 iPhone-ish).
- Navigate and wait for the right signal. Prefer waiting for a specific selector or network-idle over arbitrary sleeps.
- Capture evidence immediately after the wait condition succeeds, before any interaction perturbs the state.
- Interact deliberately. One click at a time, with a wait between actions; re-screenshot after each meaningful state change.
- Read the console and network panels for unexpected errors, 4xx/5xx responses, or slow requests.
- Close the browser cleanly when done. Long-running browser sessions leak memory and hold ports.
What evidence to record
For a verification task, deliver:
- A full-page or viewport screenshot of each meaningful state.
- The console log, filtered to warnings/errors.
- Any non-2xx network response with the URL, status, and a short response body excerpt.
- A short narration: "Navigated to X, observed Y, clicked Z, observed W."
For a UI bug repro, also record:
- The exact reproduction steps the user can follow.
- Viewport size and (where relevant) device pixel ratio.
- Whether the bug reproduces on first load vs after interaction.
Login-gated pages
- Prefer programmatic auth (API token, magic link) over UI login.
- If UI login is the only path, the user must provide credentials explicitly for this run. Never reuse credentials outside the session.
- Do not store credentials in the session log, screenshot, or returned output.
Performance and politeness
- Throttle to one navigation per few seconds when touching shared infra.
- Respect
robots.txtfor public sites you are inspecting at any volume. - Cancel navigations if a page exceeds a reasonable timeout (e.g., 30s); the page is broken or rate-limiting you.
- Do not retry forever on failure. Retry once with a longer timeout, then escalate.
Common failure modes
- Selector not found. Page changed, or you are waiting before render. Take a screenshot to see actual state; adjust the selector.
- Click does nothing. The element is offscreen, covered by a modal, or in a shadow DOM. Scroll into view or pierce the shadow root.
- Headless detection. Some sites detect headless Chrome and serve a different page. Use a non-headless mode or a fingerprint-realistic configuration only when authorized.
- Cross-origin iframe blocking. Iframes you do not own cannot be inspected; the page must offer the data outside the iframe or the task is infeasible.
Anti-patterns
- Long unsupervised browser sessions that drift from the original task.
- Scraping behind authentication you do not own.
- Captioning a screenshot with "looks good" without saying what state was loaded and what selectors confirmed it.
- Treating a passing screenshot as proof of correctness across viewports you did not actually test.
Frequently asked questions about Agent Browser
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