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Mongodb

Checked
kprsnt2·vlatest·database·MIT

Queries and retrieves data from MongoDB databases using structured prompts and natural language instructions.

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 kprsnt2/mylocalcli --skill mongodb -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

kprsnt2

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 kprsnt2/mylocalcli at eb997e7142.

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

Scanned
1 file, 45 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 MongoDB, a NoSQL database. It allows AI agents to interact with and manage data stored in MongoDB databases, including querying for information, inserting new records, updating existing ones, and deleting data. The skill is authored by kprsnt2 and part of the mylocalcli project.

When to use it

  • Data Analysis: Retrieve specific datasets from a MongoDB database to analyze trends or patterns.
  • Content Management: Update content stored in a MongoDB database, such as blog posts or product descriptions.
  • Application Integration: Connect an AI agent to applications that store data within a MongoDB instance.
  • Inventory Management: Query and update inventory levels stored in a MongoDB database for e-commerce or logistics purposes.

Key capabilities

  • MongoDB interaction
  • Data querying
  • Data insertion
  • Data updating
  • Data deletion

Example prompts

  • "Find all customers with the last name 'Smith' in the 'customers' collection."
  • "Add a new product to the 'products' collection with the following details: {name: 'Widget', price: 19.99}.”
  • “Update the quantity of item ID ‘123’ in the ‘inventory’ collection by adding 5.”

Tips & gotchas

The skill requires a MongoDB instance to be running and accessible. Ensure that the AI agent has the necessary credentials (username, password) to connect to the database before using this skill.