agent-tracing

Record and inspect AI agent execution snapshots with a CLI tool.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/alceupassos/hub --skill agent-tracing-alceupassos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-tracing
Source: https://github.com/alceupassos/hub/tree/main/.agents/skills/agent-tracing
Command: npx skills add https://github.com/alceupassos/hub --skill agent-tracing-alceupassos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the process of debugging and understanding AI agent execution, providing detailed snapshots and tracing for efficient issue resolution.

Core Features & Use Cases

  • Execution Snapshots: Captures detailed step-by-step execution records.
  • LLM Call Inspection: Offers in-depth analysis of language model interactions.
  • Context Engine Data: Delivers context engine inputs and outputs for comprehensive debugging.
  • Agent Step Analysis: Breaks down agent execution into manageable steps for detailed analysis.
  • Execution Debugging: Aids in identifying and fixing issues in AI agent workflows.
  • Use Case: When a complex AI agent workflow fails or behaves unexpectedly, use this Skill to generate execution snapshots and inspect the context engine data to diagnose the issue.

Quick Start

Inspect the latest agent execution trace with 'agent-tracing inspect latest'.

Frequently Asked Questions about agent-tracing

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

FAQPage Schema
How do I debug an AI agent workflow that fails or behaves unexpectedly?

You can debug AI agent execution by generating detailed execution snapshots that capture step-by-step records. This allows you to inspect LLM call interactions and context engine data to isolate the exact point of failure.

What is an execution snapshot in the context of LLM inspection?

An execution snapshot is a detailed step-by-step record of an AI agent's workflow. It captures context engine inputs and outputs alongside LLM call data to provide comprehensive tracing and inspection for debugging language model interactions.

How do I inspect the latest AI agent execution trace using a CLI?

To inspect the latest AI agent execution trace via CLI, you run the command 'agent-tracing inspect latest'. This accesses the recorded execution environment and displays the most recent step-by-step agent activity and LLM interactions.

Do I need Node.js to trace AI agent execution and inspect context engine data?

Yes, you need Node.js installed to run the CLI-based tracing tool. It requires a Node.js environment to execute the commands and access the agent execution environment for generating and inspecting snapshots.

Can I analyze individual agent steps during AI debugging?

Yes, you can analyze individual agent steps during AI debugging by breaking down the execution workflow into manageable steps. This detailed step analysis isolates specific LLM call interactions and context engine data for comprehensive troubleshooting.