Skip to content
TrustedSkillsbeta
Back to all skills

Testing Dags

Checked
astronomer·vlatest·testing·Apache-2.0

Validates Astronomer DAGs by executing test workflows and reporting on success, failure, and performance metrics.

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 astronomer/agents --skill testing-dags -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

astronomer

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 astronomer/agents at cbe1141f54.

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

Commit
cbe1141f54
Manifest
skills/testing-dags/SKILL.md
Scanned
1 file, 374 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 testing-dags skill enables AI agents to test Directed Acyclic Graphs (DAGs) used in workflow automation systems like Apache Airflow. It provides tools for validating DAG structure, detecting errors, and simulating execution paths.

When to use it

  • Before deploying a new DAG to ensure it adheres to syntax and logical rules
  • To identify potential issues such as circular dependencies or invalid task references
  • During continuous integration pipelines to automate DAG validation

Key capabilities

  • Validate DAG structure for correctness
  • Detect circular dependencies in workflows
  • Simulate DAG execution paths for error checking

Example prompts

  • "Check if this DAG has any circular dependencies."
  • "Validate the syntax and logic of my Airflow DAG."
  • "Simulate the execution path of this workflow to find errors."

Tips & gotchas

  • Ensure your DAG files are properly formatted before testing.
  • This skill works best with DAGs written in Python for systems like Apache Airflow.