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Error Debugging Multi Agent Review

Checked
rmyndharis·vlatest·agents·MIT

Helps with debugging, code review as part of testing, debugging, and quality assurance workflows.

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 rmyndharis/antigravity-skills --skill error-debugging-multi-agent-review -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Commit
3eff4af253
Manifest
skills/error-debugging-multi-agent-review/SKILL.md
Scanned
1 file, 196 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 facilitates the review and debugging of errors arising from multi-agent workflows. It helps identify root causes within complex agent interactions, pinpointing where failures occur and suggesting corrective actions. The skill provides a structured approach to analyzing error logs and communication patterns between agents to improve overall system reliability.

When to use it

  • Debugging failed task sequences: When an automated workflow involving multiple AI agents fails to complete successfully.
  • Analyzing inconsistent results: When different agents produce conflicting outputs or behaviors, leading to unpredictable outcomes.
  • Improving agent collaboration: To diagnose issues stemming from miscommunication or coordination problems between agents.
  • Optimizing multi-agent system performance: When identifying bottlenecks and error sources impacting the efficiency of a complex AI system.

Key capabilities

  • Error log analysis
  • Agent communication pattern identification
  • Root cause determination within agent interactions
  • Corrective action suggestions

Example prompts

  • "Analyze this error log from my multi-agent sales process and identify the root cause."
  • "I'm seeing inconsistent results between Agent A and Agent B. Can you review their communication history?"
  • "This task sequence failed; please provide a detailed breakdown of where the errors occurred and suggest fixes."

Tips & gotchas

The skill’s effectiveness depends on having access to comprehensive error logs and agent interaction data. Ensure sufficient logging is enabled within your multi-agent system for optimal results.