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Moai Lang Python

Checked
modu-ai·vlatest·backend

Helps with AI, Python as part of developing backend services and APIs workflows.

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/cc-plugins --skill moai-lang-python -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/cc-plugins at deb0819dec.

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

Commit
deb0819dec
Manifest
.claude/skills/moai-lang-python/SKILL.md
Scanned
3 files, 1,931 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 execute Python code using the MOAI language. It allows agents to leverage Python's extensive libraries and capabilities within a structured, agent-friendly environment. The skill provides a bridge between natural language instructions and programmatic execution, facilitating complex tasks and data manipulation.

When to use it

  • Data Analysis: When an agent needs to perform calculations or extract insights from datasets.
  • API Integration: To interact with external APIs that require Python-based code for authentication or data processing.
  • Automated Tasks: For automating repetitive tasks involving file manipulation, web scraping, or system administration.
  • Code Generation/Modification: When the agent needs to generate or modify existing python code snippets.

Key capabilities

  • Python Code Execution
  • MOAI Language Integration
  • Access to Python Libraries (implicitly)
  • Structured Code Environment

Example prompts

  • "Calculate the average of these numbers: 10, 20, 30, 40."
  • "Fetch the current weather data from the API and format it as a JSON object."
  • "Write a Python function to reverse a string."

Tips & gotchas

The agent must have sufficient understanding of both natural language and basic Python syntax for effective use. Complex tasks may require breaking them down into smaller, more manageable steps within the prompt.