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Mongoose

Checked
toilahuongg·vlatest·database

Mongoose efficiently extracts specific data from databases using MongoDB queries, streamlining information retrieval and automation.

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 toilahuongg/shopify-agents-kit --skill mongoose -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

toilahuongg

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 toilahuongg/shopify-agents-kit at 45435b1027.

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

Commit
45435b1027
Manifest
.claude/skills/mongoose/SKILL.md
Scanned
1 file, 138 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, "mongoose," provides access to a MongoDB database. It allows AI agents to query and manipulate data stored within that database, enabling tasks like retrieving product information, updating inventory levels, or creating customer records. The agent can interact with the database using standard MongoDB queries and operations.

When to use it

  • Product Information Retrieval: An agent needs to find details about a specific product based on its SKU or name.
  • Inventory Management: An agent is tasked with checking stock levels for an item and updating them after a sale.
  • Customer Data Updates: The agent requires the ability to add new customer records or modify existing ones in the database.
  • Order Processing: An agent needs to retrieve order details from the database to fulfill a request.

Key capabilities

  • MongoDB Database Access
  • Data Querying (Retrieval)
  • Data Manipulation (Creation, Update, Deletion)
  • Standard MongoDB query syntax support

Example prompts

  • "Find all products with a price greater than $50."
  • "Update the inventory quantity for product ID 123 to 10."
  • "Create a new customer record with name 'John Doe' and email '[email protected]'."

Tips & gotchas

The agent needs appropriate credentials (username/password or API key) to access the MongoDB database. Ensure these are securely provided and managed within the AI agent environment.