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Firebase Master

Listed
just-mpm·vlatest·backend·MIT

Automates Firebase project setup, configuration, and deployment tasks using secure best practices.

Install on your platform

This skill no longer installs under the name firebase-master. just-mpm/conformai is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

just-mpm

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: api-embeddings.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

    api-embeddings.comundeclared

    What it found

    • .claude/skills/firebase-master/references/firestore-client.md:851contacts api-embeddings.com
      const response = await fetch('https://api-embeddings.com/generate', {
  • 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 just-mpm/conformai at b92eb8e186.

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

Scanned
9 files, 12,347 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 provides access to Firebase, a backend-as-a-service platform. It allows AI agents to interact with Firebase services such as authentication, real-time database, and cloud storage. The agent can read from and write data to these resources, enabling dynamic application behavior.

When to use it

  • Real-time data updates: Build applications that require instant synchronization of data across multiple clients (e.g., a collaborative document editor).
  • User authentication: Implement secure user login and registration flows for web or mobile applications.
  • Cloud storage integration: Allow users to upload and download files directly within an application, storing them securely in the cloud.
  • Data-driven content management: Dynamically populate website content from a Firebase database.

Key capabilities

  • Authentication (user login/registration)
  • Realtime Database access
  • Cloud Storage integration

Example prompts

  • "Retrieve all user data from Firebase."
  • "Write 'Hello World' to the 'messages' collection in Firebase."
  • "Create a new user account with email and password."

Tips & gotchas

  • Requires proper Firebase project setup and API keys for authentication.
  • Be mindful of Firebase usage limits and pricing tiers.