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Mongodb

Checked
chaterm·vlatest·database·Apache-2.0

Connects to MongoDB databases, executes queries, and retrieves data via a command-line 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 chaterm/terminal-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

chaterm

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 chaterm/terminal-skills at 464c295428.

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

Commit
464c295428
Manifest
database/mongodb/SKILL.md
Scanned
1 file, 251 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 popular NoSQL database. It allows AI agents to interact with and manage data stored in MongoDB databases directly from the terminal. The agent can execute commands to query, insert, update, and delete documents within collections.

When to use it

  • Data Analysis: Retrieve specific information from a MongoDB database for reporting or further analysis.
  • Content Management: Update product descriptions or other content stored in a MongoDB-powered CMS.
  • Application Backends: Interact with data used by web applications that rely on MongoDB as their primary database.
  • Database Administration: Perform basic administrative tasks like checking database status or creating indexes (requires appropriate permissions).

Key capabilities

  • MongoDB interaction via terminal commands
  • Querying documents within collections
  • Inserting new documents into collections
  • Updating existing documents in collections
  • Deleting documents from collections

Example prompts

  • "Show me all users with age greater than 30."
  • "Add a new product to the products collection with name 'Widget' and price 19.99."
  • “Update the quantity of item ID 123 in the inventory collection to 5.”

Tips & gotchas

  • Requires a running MongoDB instance and appropriate connection credentials.
  • Familiarity with basic MongoDB query language (e.g., JSON-like syntax) is helpful for constructing effective prompts.