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Vercel Blob

Listed
jackspace·vlatest·cloud·MIT

Access and manage files stored in your Jackspace Vercel Blob storage directly within the AI agent's environment.

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 jackspace/claudeskillz --skill vercel-blob -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

jackspace

Taken from the source listing. We haven't verified who controls this account.

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: xyz.public.blob.vercel-storage.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

    xyz.public.blob.vercel-storage.comundeclared

    What it found

    • skills/vercel-blob/SKILL.json:26contacts xyz.public.blob.vercel-storage.com
      "The 5-Step Setup Process": "### Step 1: Create Blob Store\r\n\r\n**Vercel Dashboard**:\r\n1. Project → Storage → Create Database → Blob\r\n2. Copy `BLOB_READ_…
    • skills/vercel-blob/SKILL.json:26contacts xyz.public.blob.vercel-storage.com
      "The 5-Step Setup Process": "### Step 1: Create Blob Store\r\n\r\n**Vercel Dashboard**:\r\n1. Project → Storage → Create Database → Blob\r\n2. Copy `BLOB_READ_…

  • 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 jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/vercel-blob/SKILL.md
Scanned
3 files, 692 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

This skill, vercel-blob, allows AI agents to interact with Vercel Blob storage. It enables uploading files directly to your Vercel Blob buckets and retrieving file information like URLs and metadata. This simplifies managing assets and data within a Vercel environment for automated tasks.

When to use it

  • Automated Image Uploads: Automatically upload images generated by an AI agent (e.g., from image generation models) directly to your website's asset storage.
  • Data Backup & Archiving: Periodically back up data or logs generated by the AI agent to Vercel Blob for long-term storage and archiving.
  • File Distribution: Distribute downloadable files (e.g., reports, datasets) hosted on Vercel Blob via the AI agent.
  • Content Updates: Automatically update website content by uploading new assets to a Vercel Blob bucket that triggers a deployment.

Key capabilities

  • Upload files to Vercel Blob storage.
  • Retrieve file URLs from Vercel Blob.
  • Access metadata associated with files in Vercel Blob.

Example prompts

  • "Upload this image [image data] to my 'public' bucket."
  • "What is the URL of the file named 'report.pdf' in my 'reports' blob?"
  • "List all files in my 'images' bucket, including their sizes and last modified dates."

Tips & gotchas

  • You will need to provide your Vercel Blob credentials (API key or token) for the AI agent to authenticate with Vercel. Ensure these are securely stored and managed.