loop-fixer

Create, execute, and verify fix tasks for failed agentic workflow evaluations.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/Geargrindadmin/gg-agentic-harness --skill loop-fixer-geargrindadmin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loop-fixer
Source: https://github.com/Geargrindadmin/gg-agentic-harness/tree/main/.agent/skills/loop-fixer
Command: npx skills add https://github.com/Geargrindadmin/gg-agentic-harness --skill loop-fixer-geargrindadmin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the scenario where an automated evaluation of a plan or execution fails, by automatically creating and executing tasks to fix the identified issues.

Core Features & Use Cases

  • Automated Issue Resolution: Parses evaluation reports to identify specific failures and generates actionable fix tasks.
  • Iterative Improvement: Integrates into a loop to re-run evaluations after fixes are applied, ensuring issues are resolved.
  • Use Case: When the loop-plan-evaluator reports that a generated plan has critical flaws, the loop-fixer agent takes over, modifies the plan to address these flaws, and then signals for the plan to be re-evaluated.

Quick Start

Use the loop-fixer agent to address the failures reported by the plan evaluator.

Frequently Asked Questions about loop-fixer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically fix evaluation failures in an automated workflow?

To fix automated workflow plan failures, this Skill creates, executes, and verifies fix tasks based on evaluation reports. It manages iterative feedback loops between execution and evaluation steps to confirm issues are resolved.

What is an iterative feedback loop for debugging workflow execution?

An iterative feedback loop for debugging workflow execution automatically applies fixes to identified failures and then re-runs evaluations. This cycle repeats until the plan or execution successfully passes all critical evaluation checks.

How do I re-evaluate an automated plan after applying fixes?

To re-evaluate an automated plan after applying fixes, the fixer agent modifies the plan to address reported flaws and signals for it to be re-evaluated. This ensures the iterative improvement loop verifies that critical issues are resolved.

Do I need specific files to automate issue resolution in an agentic workflow?

Yes, automating issue resolution requires access to the track's plan.md, spec.md, and metadata.json files. These files provide the necessary context for task management and state updates during the fix execution process.

What is the best way to handle critical flaws found in an automated plan?

The best way to handle critical flaws in an automated plan is to use an agent that parses evaluation reports, generates actionable fix tasks, and modifies the plan. It then signals for re-evaluation to ensure iterative improvement without manual intervention.

Why does my workflow evaluation loop fail to resolve execution issues automatically?

Workflow evaluation loops fail to resolve execution issues automatically if they lack an integrated fixer to create and verify fix tasks. Without parsing evaluation reports and managing iterative feedback loops between execution and evaluation, identified failures remain unaddressed.