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Vercel Blob

Checked
ovachiever·vlatest·cloud

Automates Vercel deployment tasks using Vercel Blob storage, streamlining workflows and reducing manual effort for ovachiever users.

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 ovachiever/droid-tings --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

ovachiever

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/vercel-blob/SKILL.md
Scanned
10 files, 1,733 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 enables AI agents to interact with Vercel Blob, a serverless object storage solution. It allows agents to upload files, retrieve data, and manage assets directly within the Vercel ecosystem without requiring manual API key configuration in every prompt.

When to use it

  • Storing generated images or documents created by an AI agent for later retrieval or sharing.
  • Fetching user-uploaded media from a Vercel-hosted bucket to process or analyze.
  • Automating asset management workflows, such as deleting old logs or organizing file structures.
  • Integrating with Vercel deployments to serve dynamic content stored in Blob storage.

Key capabilities

  • Upload files to Vercel Blob buckets programmatically.
  • Retrieve and download stored assets by key or URL.
  • List contents within a specific bucket for inventory checks.
  • Delete objects or entire folders from storage.
  • Handle large file transfers with built-in streaming support.

Example prompts

"Upload this generated report PDF to my Vercel Blob bucket named 'reports'." "List all image files currently stored in the 'assets' bucket and show me their sizes." "Delete any log files older than 30 days from the 'temp-logs' folder in my storage."

Tips & gotchas

Ensure your AI agent has valid authentication credentials (API keys or tokens) configured before attempting operations, as unauthorized access will fail immediately. Be mindful of bucket permissions; private buckets require proper authorization headers to read or write data successfully.