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Vercel Storage Data

Checked
bobmatnyc·vlatest·cloud·MIT

Helps with Vercel, storage, data as part of agent workflows workflows.

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 bobmatnyc/claude-mpm-skills --skill vercel-storage-data -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

bobmatnyc

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 bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Commit
718070a7d6
Manifest
toolchains/platforms/deployment/vercel-storage-data/SKILL.md
Scanned
2 files, 106 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

The vercel-storage-data skill enables AI agents to interact with Vercel's storage infrastructure, allowing for the retrieval and management of data stored within Vercel projects. It facilitates seamless integration between automated workflows and persistent data layers hosted on the platform.

When to use it

  • Automating the backup or migration of project assets stored in Vercel environments.
  • Fetching configuration files or logs directly from storage for analysis by an agent.
  • Managing temporary datasets that need to persist across multiple agent interactions within a Vercel deployment.
  • Integrating file-based data storage into serverless functions without external database dependencies.

Key capabilities

  • Direct access to Vercel storage endpoints via API.
  • Data retrieval and manipulation within the context of a specific project.
  • Secure handling of stored artifacts during automated execution flows.

Example prompts

  • "Retrieve the latest deployment logs from my Vercel project's storage for review."
  • "Upload this configuration file to the designated storage bucket in my Vercel workspace."
  • "List all files currently stored in the data directory of my active Vercel project."

Tips & gotchas

Ensure your AI agent has the necessary API keys and permissions configured for the target Vercel project before attempting data operations. This skill is specific to Vercel's ecosystem and cannot be used with other cloud storage providers like AWS S3 or Google Cloud Storage.