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Automation Validator

Checked
macroman5·vlatest·utilities·MIT

Verifies automation workflows' logic and data integrity against defined rules, preventing errors before execution.

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 macroman5/automationhelper_plugins --skill automation-validator -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

macroman5

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 macroman5/automationhelper_plugins at e49b015220.

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

Scanned
1 file, 675 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

The automation-validator skill assesses the correctness and safety of automated workflows. It can analyze sequences of actions, identify potential errors or unintended consequences, and suggest improvements to ensure reliable execution. This helps prevent failures and unexpected behavior in complex automation processes.

When to use it

  • Testing new automation scripts: Before deploying a newly created script, validate its logic and expected outcomes.
  • Reviewing existing workflows: Periodically check established automations for potential regressions or vulnerabilities.
  • Simulating edge cases: Test how an automation performs under unusual circumstances to uncover hidden issues.
  • Ensuring compliance: Verify that automated processes adhere to defined rules and regulations.

Key capabilities

  • Workflow analysis
  • Error identification
  • Safety assessment
  • Suggestion generation

Example prompts

  • "Validate this automation script: [script content]"
  • "Analyze the workflow for potential errors."
  • "Can you identify any safety concerns in this sequence of actions?"

Tips & gotchas

The effectiveness of automation-validator depends on providing clear and complete descriptions or code snippets of the workflows being assessed. It is best used with well-defined automation processes to ensure accurate analysis.