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Debugging Workflows

Checked
mbruhler·vlatest·testing·MIT

Identifies and resolves errors in automated workflows, streamlining testing processes and improving reliability.

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 mbruhler/claude-orchestration --skill debugging-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

mbruhler

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 mbruhler/claude-orchestration at 47fd2623a4.

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

Commit
47fd2623a4
Manifest
skills/debugging-workflows/SKILL.md
Scanned
1 file, 169 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 helps identify and resolve issues within complex AI agent workflows. It analyzes workflow execution logs, pinpoints error sources, and suggests corrective actions to improve reliability and performance. The debugging process includes identifying failed steps, analyzing associated data, and providing targeted recommendations for adjustments.

When to use it

  • Troubleshooting a workflow that consistently fails or produces unexpected results.
  • Analyzing the root cause of errors in an automated task sequence.
  • Optimizing a workflow’s efficiency by identifying bottlenecks and inefficiencies.
  • Debugging complex agent interactions involving multiple tools or APIs.

Key capabilities

  • Workflow log analysis
  • Error source identification
  • Data association for error context
  • Corrective action recommendations

Example prompts

  • "Analyze the attached workflow execution log and identify the root cause of the failure."
  • "What is causing this workflow to timeout consistently?"
  • "Suggest improvements to reduce errors in my agent's data extraction workflow."

Tips & gotchas

The skill requires access to detailed workflow execution logs for effective analysis. Ensure sufficient logging is enabled within your workflows before using this debugging tool.