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Moai Platform Database Cloud

Checked
modu-ai·vlatest·database·Apache-2.0

Access, query, and analyze data stored within your Modu-AI platform's cloud databases using natural language prompts.

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 modu-ai/moai-adk --skill moai-platform-database-cloud --full-depth -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

modu-ai

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 modu-ai/moai-adk at 2213871afb.

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

Commit
2213871afb
Manifest
.moai/archive/skills/v3.0/moai-platform-database-cloud/SKILL.md
Scanned
6 files, 912 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

moai-platform-database-cloud

What it does

This skill enables AI agents to interact with cloud-based database platforms, allowing them to retrieve, update, and manage data stored in remote systems. It bridges the gap between agent logic and persistent storage by handling connection protocols and query execution automatically.

When to use it

  • Data Retrieval: Fetching specific records or aggregating data from a production SQL or NoSQL database for analysis.
  • State Management: Storing temporary session information, user preferences, or calculated results generated during an agent's workflow.
  • Audit Logging: Writing transaction logs or event histories to a cloud database for compliance and debugging purposes.
  • Real-time Updates: Modifying existing records in response to dynamic user inputs or external API triggers.

Key capabilities

  • Connects securely to various cloud database providers (e.g., AWS RDS, Google Cloud SQL).
  • Executes standard CRUD (Create, Read, Update, Delete) operations via SQL or ORM interfaces.
  • Manages connection pooling and session lifecycles to ensure stable long-running interactions.
  • Handles data serialization and deserialization for seamless integration with agent memory systems.

Example prompts

  • "Connect to our PostgreSQL instance on AWS RDS and retrieve all active user accounts from the last 24 hours."
  • "Update the status field in the orders table to 'shipped' for any orders where the tracking number is present."
  • "Insert a new log entry into the audit_trail collection containing the current timestamp and the result of the previous calculation."

Tips & gotchas

Ensure your AI agent has the necessary API keys or IAM roles configured before attempting to connect, as unauthorized access attempts will fail immediately. Be mindful of rate limits imposed by the specific cloud provider to avoid throttling during high-volume data operations.