agent-debugger-cli

Analyze agent execution traces and run quality checks via the agent-debugger CLI.

Updated May 25, 2026
One-click install
npx skills add https://github.com/pragnyanramtha/tbench-glm --skill agent-debugger-cli-pragnyanramtha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-debugger-cli
Source: https://github.com/pragnyanramtha/tbench-glm/tree/main/agents/evolve_agent/skills/agent-debugger-cli
Command: npx skills add https://github.com/pragnyanramtha/tbench-glm --skill agent-debugger-cli-pragnyanramtha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires nexau, langfuse, pyyaml, python-dotenv, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill allows users to efficiently debug and analyze agent execution traces, providing insights into agent behavior and performance.

Core Features & Use Cases

  • Trace Debugging: Ask questions about traces to understand agent behavior and identify issues.
  • Quality Checks: Run quality checks on traces to identify potential problems.
  • Trace Download: Download and clean Langfuse traces for analysis.
  • Use Case: Imagine you have a trace from an agent that failed. Use this Skill to download the trace, ask questions about it, and run quality checks to identify the cause of the failure.

Quick Start

Use the agent-debugger-cli skill to download a Langfuse trace with ID 'trace_abc' and ask "What is the main issue in this trace?".

Frequently Asked Questions about agent-debugger-cli

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

FAQPage Schema
How do I debug agent execution traces to identify failure causes?

Run quality checks on agent execution traces to identify potential problems and anomalies by executing the agent-debugger CLI, which analyzes trace data to highlight performance issues and behavioral anomalies.

How do I download Langfuse traces for local analysis?

Download Langfuse traces by providing the specific trace ID to the CLI, which fetches and cleans the execution data over a network connection for local debugging and analysis.

What do I need to run quality checks on agent execution traces?

Running quality checks on agent execution traces requires Python 3.9 or higher, pip for dependency management, local shell access to run the CLI, and optional network access for Langfuse integration.

Can I query specific information from a Langfuse trace to understand agent behavior?

Query specific information from a Langfuse trace by asking targeted questions about the downloaded data, allowing you to understand agent behavior and identify the root causes of execution failures.

Are there limitations when downloading Langfuse traces for offline debugging?

Downloading Langfuse traces requires network access to fetch the data, and you need local shell access with Python 3.9+ to execute the CLI, limiting usage in restricted or offline environments.