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Streamdown

Official
vercel·vlatest·backend

Streamdown allows you to easily download files from URLs directly within your application, simplifying data retrieval and integration.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vercel/streamdown --skill streamdown -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vercel

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: cdn.your-domain.com, docs.your-domain.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    docs.your-domain.comundeclaredcdn.your-domain.comundeclared

    What it found

    • skills/streamdown/assets/examples/custom-security.tsx:16contacts docs.your-domain.com
      "https://docs.your-domain.com",
    • skills/streamdown/assets/examples/custom-security.tsx:18contacts cdn.your-domain.com
      allowedImagePrefixes: ["https://cdn.your-domain.com"],

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned vercel/streamdown at 0b6b20d3a8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
0b6b20d3a8
Manifest
skills/streamdown/SKILL.md
Scanned
11 files, 1,333 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The streamdown skill enables AI agents to process and analyze live data streams efficiently, with support for real-time updates and structured output formatting. It is particularly useful in scenarios requiring continuous monitoring or dynamic content generation.

When to use it

  • Monitoring live server logs in a development environment
  • Generating real-time analytics reports from streaming data sources
  • Processing user input in chatbots that require immediate feedback

Key capabilities

  • Real-time data stream processing
  • Support for structured output formats like JSON and CSV
  • Integration with web-based APIs for continuous updates

Example prompts

  • "Process this live server log stream and format the output as JSON."
  • "Analyze incoming user chat messages in real time and generate summaries."
  • "Stream down data from the API endpoint and convert it to a CSV file."

Tips & gotchas

  • Ensure stable internet connectivity for uninterrupted streaming.
  • Be mindful of data volume limits when processing large streams.