fix-proposal

Analyze MoonMind task runs and append a validated follow-up task proposal.

12|5|Updated Jan 14, 2025
One-click install
npx skills add https://github.com/MoonLadderStudios/MoonMind --skill fix-proposal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fix-proposal
Source: https://github.com/MoonLadderStudios/MoonMind/tree/main/.agents/skills/fix-proposal
Command: npx skills add https://github.com/MoonLadderStudios/MoonMind --skill fix-proposal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects execution quality problems in MoonMind task runs and generates a single, high-value follow-up task proposal to address the root cause, reducing repeated failures and wasted retries.

Core Features & Use Cases

  • Analyze task_context.json and artifacts/logs to identify access/auth failures, conflicting instructions, retry storms, execution loops, duplicate output, missing references, and other degraded behaviors.
  • Produce one concise proposal object containing a title, summary, and a valid taskCreateRequest envelope, plus run_quality category, tags, and a signal with severity and evidence.
  • Use Case: After a managed run exhibits repeated retries and missing artifacts, append a targeted task to fix the missing references and adjust retry logic to prevent further retries.

Quick Start

Use the fix-proposal skill to analyze the latest task run and append one actionable proposal to the task_proposals.json file.

Frequently Asked Questions about fix-proposal

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

FAQPage Schema
How do I generate fix proposals for task run failures from logs and artifacts?

To generate fix proposals for task run failures, analyze task_context.json and run artifacts to detect degraded behaviors like retry storms and missing references, appending a validated taskCreateRequest to the proposals JSON.

What types of execution quality issues can be detected from MoonMind run logs?

Execution quality issues detected from MoonMind run logs include access failures, conflicting instructions, execution loops, duplicate output, missing references, and retry storms that degrade task run behavior.

How do I append a follow-up task proposal to task_proposals.json without creating duplicates?

Append a follow-up task proposal to task_proposals.json by generating one validated proposal object with a unique title, summary, severity signal, and taskCreateRequest while preserving valid JSON formatting and avoiding duplicate titles.

Can I automatically detect retry storms and access failures in task run artifacts?

Yes, you can detect retry storms and access failures by analyzing task run artifacts and logs, generating a single high-value proposal object with category tags and evidence to address the root cause.

What is the best way to prevent repeated task failures and wasted retries in automated runs?

The best way to prevent repeated task failures and wasted retries is to analyze run logs for degraded behaviors and produce a targeted fix proposal that adjusts retry logic and resolves missing references.

Do I need task_context.json to diagnose execution loops and duplicate output in task runs?

Yes, you need task_context.json alongside artifacts and logs to accurately diagnose execution loops and duplicate output, ensuring the generated fix proposal contains valid evidence and a corrective taskCreateRequest.