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Mongokit

Checked
classytic·vlatest·database·MIT

Mongokit simplifies MongoDB interaction by providing a fluent API for easy data manipulation and querying – boosting developer productivity.

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 classytic/mongokit --skill mongokit -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

classytic

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 classytic/mongokit at ac9f097e6b.

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

Commit
ac9f097e6b
Manifest
skills/mongokit/SKILL.md
Scanned
1 file, 361 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

The mongokit skill provides an interface to interact with MongoDB databases. It allows AI agents to query, insert, update, and delete data within a MongoDB environment. This skill simplifies database operations by offering a convenient and structured way to manage information stored in MongoDB collections.

When to use it

  • Data Extraction: Retrieve specific product details from an e-commerce database based on user search queries.
  • Inventory Management: Update stock levels in a warehouse management system after fulfilling orders.
  • User Profile Updates: Modify user preferences or demographic information stored within a user profile collection.
  • Log Analysis: Query and analyze application logs stored in MongoDB to identify errors or performance bottlenecks.

Key capabilities

  • Querying data from MongoDB collections
  • Inserting new documents into collections
  • Updating existing documents
  • Deleting documents from collections

Example prompts

  • "Retrieve all products with a price greater than $50."
  • "Insert a new user document with the following details: name, email, password."
  • "Update the quantity of product ID 123 to 5."

Tips & gotchas

Requires access to a MongoDB database and appropriate credentials. Ensure the AI agent has the necessary permissions to perform read and write operations on the target collections.