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Firebase

Checked
thinkfleetai·vlatest·backend

Automates Firebase database management tasks, streamlining deployments and ensuring data integrity for thinkfleetai applications.

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 thinkfleetai/thinkfleet-engine --skill firebase -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

thinkfleetai

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 thinkfleetai/thinkfleet-engine at 1256c5192f.

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

Scanned
1 file, 39 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 enables AI agents to interact with and manage Firebase projects, including databases (Firestore), authentication services, and cloud storage. This allows for dynamic data management and user interaction within applications powered by the agent.

When to use it

  • Building Realtime Applications: Integrate a chat application that requires persistent, real-time data synchronization using Firestore.
  • User Authentication Management: Implement secure user login and registration flows with Firebase authentication.
  • Storing Application Data: Store game progress or other application state in a cloud database accessible by the agent.
  • Cloud Storage Integration: Enable agents to upload and retrieve files from Firebase Cloud Storage.

Key capabilities

  • Firestore Database Interaction
  • Firebase Authentication
  • Firebase Cloud Storage Access

Example prompts

  • "Create a new Firestore document with these details: {name: 'John Doe', age: 30}"
  • "Authenticate a user with email and password."
  • "Upload this image file to Firebase storage under the key 'user_images/profile.jpg'."

Tips & gotchas

  • Requires proper Firebase project setup and credentials before use.
  • Be mindful of Firebase pricing tiers when designing data-intensive applications.