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Mongodb

Listed
bagelhole·vlatest·database·MIT

Connects, queries, and updates MongoDB databases using secure credentials and optimized requests via a simple interface.

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 bagelhole/devops-security-agent-skills --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

bagelhole

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: www.mongodb.org.

    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

    www.mongodb.orgundeclared

    What it found

    • infrastructure/databases/mongodb/SKILL.md:31contacts www.mongodb.org
      curl -fsSL https://www.mongodb.org/static/pgp/server-7.0.asc | \

  • 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 bagelhole/devops-security-agent-skills at 0365f57a07.

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

Commit
0365f57a07
Manifest
infrastructure/databases/mongodb/SKILL.md
Scanned
1 file, 391 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 allows AI agents to interact with MongoDB databases. It enables querying data, inserting new documents, and updating existing records within a specified database. The agent can also retrieve schema information for better understanding of the database structure.

When to use it

  • Data Extraction: Retrieve specific product details from an e-commerce database based on user requests.
  • Log Analysis: Query log data stored in MongoDB to identify error patterns or security incidents.
  • Inventory Management: Update stock levels for products in a warehouse management system.
  • Report Generation: Pull relevant data from various collections to create custom reports.

Key capabilities

  • Querying data using MongoDB query language (MQL)
  • Inserting new documents into collections
  • Updating existing documents within collections
  • Retrieving schema information for database objects

Example prompts

  • "Find all customers in the 'customers' collection who live in California."
  • "Add a new product to the 'products' collection with name 'Widget', price 19.99, and quantity 100."
  • “What is the schema for the ‘orders’ collection?”

Tips & gotchas

  • Ensure the AI agent has appropriate credentials (username/password or connection string) to access the MongoDB database.
  • Be mindful of data privacy and security when querying sensitive information.