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Dyad:Check Workflows

Checked
dyad-sh·vlatest·devops

Dyad:Check Workflows verifies workflow configurations for errors and inconsistencies, ensuring smooth automation execution and reducing potential issues.

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 dyad-sh/dyad --skill dyad:check-workflows -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

dyad-sh

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 dyad-sh/dyad at 3da45c8bb3.

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

Commit
3da45c8bb3
Manifest
.claude/skills/check-workflows/SKILL.md
Scanned
1 file, 137 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 dyad:check-workflows skill allows you to validate and verify that your workflows are functioning as expected. It can execute a workflow, compare the actual output against an expected output, and report on any discrepancies found. This helps ensure reliability and consistency in automated processes.

When to use it

  • Automated Testing: Verify new or modified workflows before deployment to production environments.
  • Regression Testing: Ensure existing workflows continue to function correctly after code changes.
  • Debugging Workflows: Pinpoint issues within a workflow by comparing actual versus expected results.
  • Continuous Integration/Continuous Delivery (CI/CD): Integrate into your CI/CD pipelines for automated validation of workflow updates.

Key capabilities

  • Workflow execution
  • Output comparison against expected values
  • Discrepancy reporting

Example prompts

  • "Check the 'order_processing' workflow and compare its output to the file 'expected_output.txt'."
  • "Run the 'data_transformation' workflow and verify that the final result matches the schema defined in 'schema.json'."
  • "Validate the 'report_generation' workflow against a baseline dataset."

Tips & gotchas

The skill requires access to both the workflow being tested and the expected output (often in a file). Ensure the AI agent has appropriate permissions to read these resources for accurate validation.