fix-agent-issue

Name: fix-agent-issue
Availability: InStock
Author: MLflow

Diagnose AI agent behavior issues by analyzing MLflow traces and creating regression tests.

69|21|Updated Jan 14, 2026

Search Tags:#diagnosis #ai-agent #mlflow #fixing #trace analysis

Ready to run

npx skills add https://github.com/mlflow/skills --skill fix-agent-issue

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fix-agent-issue
Source: https://github.com/mlflow/skills/tree/main/fix-agent-issue
Command: npx skills add https://github.com/mlflow/skills --skill fix-agent-issue

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mlflow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps diagnose and fix issues with AI agents' behavior, ensuring that they respond accurately and reliably to prompts.

Core Features & Use Cases

Trace Analysis: Inspect MLflow traces to understand agent behavior and identify issues.
Test Suite Creation: Generate tests to verify changes and prevent regressions.
Iterative Fixing: Apply changes incrementally, verifying each step before proceeding.

Quick Start

Use the 'fix-agent-issue' skill to analyze the MLflow trace and diagnose the issue in your agent's behavior.

Frequently Asked Questions about fix-agent-issue

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

FAQPage Schema

How do I diagnose AI agent behavior issues using MLflow traces?▼

To diagnose AI agent behavior issues, you analyze MLflow traces to inspect agent actions and identify root causes. This skill processes those traces to pinpoint errors or hallucinations, creating a baseline for targeted fixes.

What is the best way to fix AI agent hallucinations or policy violations?▼

Fixing AI agent hallucinations or policy violations involves iterative changes guided by trace analysis. This skill applies incremental fixes to the agent's logic, verifying behavior modifications against expected outcomes before proceeding.

How do I create regression tests for AI agent behavior modifications?▼

To create regression tests for AI agent behavior modifications, generate a test suite from the analyzed MLflow traces. This ensures that applied fixes prevent future regressions and maintain response accuracy across various prompts.

Do I need MLflow to run trace analysis on my AI agent?▼

Yes, you need MLflow to run trace analysis on your AI agent. This skill requires MLflow as a dependency to inspect execution traces, diagnose behavior issues, and validate the applied fixes through regression testing.

Can I apply incremental fixes to an AI agent without breaking existing behavior?▼

Yes, you can apply incremental fixes without breaking existing behavior by verifying each step. This skill applies changes iteratively, using generated regression tests to confirm that modifications resolve the issue without causing regressions.