AgentRender Web Capture

    1

    Capture public web pages as screenshots, PDFs, or structured text with verifiable render receipts via MCP.

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    Works with the AI Agents you already use

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    AgentRender Web Capture

    Example session with this skill installed

    Take a screenshot of https://example.com and tell me exactly what was captured.

    • Read your context and instructions
    • Compiled the agentrender web capture

    ## Summary Captured a full screenshot of https://example.com using the AgentRender `screenshot` tool. ## Render receipt | Field | Value | | --- | --- | | Requested URL | https://example.com | | Final URL | https://example.com/ (no redirect beyond trailing slash) | | Timestamp | 2026-10-16T19:20:00Z | | Viewport | 1280x800 | | Content hash | sha256 3f2a…c91e | ## What the page shows - Heading: "Example Domain" - One paragraph explaining the domain is for illustrative examples in documents - A single link: "More information..." pointing to iana.org The screenshot image is attached above. Nothing was invented: all content comes from the render. **Next steps** - Use `pdf` if you need a printable archive of this page - Use `extract` to get the text and links as JSON for further analysis

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Web pages are often inaccessible to agents due to dynamic rendering or lack of direct browser access. This skill provides a reliable bridge to capture public web content as high-fidelity visual evidence, printable archives, or structured data. It eliminates the friction of manual "save as" workflows and provides cryptographic proof of content via render receipts. ## What it does - **Visual capture** creates full-page screenshots for UI audits, layout verification, and visual regression checks. - **Portable archiving** generates PDF versions of invoices, documentation, or long-form articles for sharing and storage. - **Data extraction** parses page titles, text bodies, and link sets into structured JSON for immediate LLM reasoning. - **Verifiable receipts** provides final URLs, timestamps, and content hashes to ensure data provenance and auditability. ## How it works 1. Use `screenshot` when you need to inspect the visual layout or detect UI bugs on a public URL. 2. Call `pdf` to archive content into a durable format suitable for printing or document management systems. 3. Execute `extract` to pull text and link data for analysis without consuming excessive context window space with image data. 4. Reference the **render receipt** in your output to confirm the exact capture time and final URL after any redirects. ## Frameworks & tools This skill utilizes the AgentRender MCP server. It supports both remote hosted MCP via HTTP and local execution using `uvx`. ## Why this beats prompting it yourself Standard agents often hallucinate web content or fail when pages require JavaScript execution. This skill uses a dedicated rendering engine to ensure the agent sees exactly what a browser sees, backed by receipts that prevent "hallucinated" page data. ## Use cases - Capture visual proof of site deployments or UI bugs for bug reports. - Extract structured text from Wikipedia or documentation for RAG pipelines. - Save copies of online receipts and invoices directly to a project folder. - Verify site redirects and metadata for SEO or security audits. ## Known limitations Does not support pages requiring authentication, paywalls, or local network access. Limited to public http/https schemes. Requires an AgentRender API key.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Requires

    Agentrender MCP
    uv (Python tool runner)

    Listed3 days ago

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