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Agent Mongo

Checked
shhac·vlatest·database

Connects to MongoDB databases, executes queries, and retrieves data based on 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 shhac/agent-mongo --skill agent-mongo -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

shhac

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 shhac/agent-mongo at 5b8b4a1cc8.

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

Scanned
4 files, 571 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 enables AI agents to interact with MongoDB databases. It allows agents to query, insert, update, and delete data within a specified MongoDB environment. The agent can execute commands against the database based on natural language instructions.

When to use it

  • Data Extraction: Retrieve specific information from a product catalog stored in MongoDB for reporting or analysis.
  • Content Management: Update article status (e.g., "draft," "published") within a CMS powered by MongoDB.
  • Inventory Management: Adjust stock levels of products based on sales data residing in a MongoDB database.
  • User Data Updates: Modify user profile information, such as email addresses or preferences, stored in a MongoDB collection.

Key capabilities

  • Querying data using natural language instructions
  • Inserting new documents into collections
  • Updating existing documents within collections
  • Deleting documents from collections

Example prompts

  • "Find all products with a price greater than $50."
  • "Add a new user to the 'users' collection with name 'Alice' and email '[email protected]'."
  • "Update the status of article ID 12345 to 'published'."

Tips & gotchas

  • Requires access credentials (username/password) for the target MongoDB database. Ensure these are securely provided to the agent.