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Moai Workflow Testing

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

Automates end-to-end workflow tests using AI to identify errors and optimize complex Modu-AI process sequences.

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-workflow-testing -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
.claude/skills/moai-workflow-testing/SKILL.md
Scanned
62 files, 14,128 lines
Copies in repo
2 — all of them scanned
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

The moai-workflow-testing skill enables AI agents to automatically validate and verify complex workflow executions within the Modu AI ADK ecosystem. It ensures that multi-step processes function correctly by simulating inputs and checking outputs against expected results without manual intervention.

When to use it

  • Automated Regression Testing: Run continuous checks on critical business logic workflows whenever code changes are deployed.
  • Integration Verification: Validate end-to-end data flow between different services or modules in a modular architecture.
  • Edge Case Simulation: Test how specific workflows behave under unusual input conditions or error scenarios defined by the agent.
  • Pre-Deployment Validation: Execute comprehensive workflow suites before releasing updates to production environments to catch breaking changes early.

Key capabilities

  • Executes predefined workflow sequences automatically.
  • Captures and analyzes output data for accuracy.
  • Generates detailed reports on workflow success or failure states.
  • Integrates seamlessly with the Modu AI ADK framework.

Example prompts

  • "Run a full test suite on the customer onboarding workflow and summarize any failures."
  • "Simulate a payment processing scenario with invalid card data and report the error handling behavior."
  • "Verify that the inventory update workflow correctly reflects stock changes after a simulated order."

Tips & gotchas

Ensure your workflows are properly configured within the Modu AI ADK environment before initiating tests, as the skill relies on existing definitions. Limit test scope to active modules to avoid unnecessary execution time in large-scale systems.