Where are the trace logs stored?

By default, logs are written to stdout. You can use the --output flag followed by a filename to save the trace results to a specific file.

Can I filter specific events to reduce log noise?

Yes, you can use the --include and --exclude flags to focus on specific events like LINE or INSTRUCTION, or to ignore noisy events like C_RETURN.

What version of Python is required for this skill?

Because this skill relies on the sys.monitoring module, it requires Python 3.12 or newer.

What is the primary advantage of using sys.monitoring for tracing?

sys.monitoring is a high-performance API introduced in Python 3.12 that allows for profiling and debugging with significantly less overhead than older tools like sys.settrace.

How do I pass arguments to my Python script while tracing?

You can pass arguments by adding them after the script path, separated by a double dash: python scripts/monitor_trace.py my_script.py -- arg1 arg2.

Python Execution Tracer

Name: Python Execution Tracer
Author: ahupp

byahupp

0•

Analytics & Monitoring

Generates detailed execution traces for Python scripts using the native sys.monitoring API with fine-grained event control.

This skill provides a high-performance interface for debugging and analyzing Python scripts by leveraging the native sys.monitoring module. It allows developers to capture a comprehensive log of every operation—including specific line executions and instructions—while providing the flexibility to filter noise through include and exclude controls. This is particularly useful for deep-dive performance analysis, identifying complex logic errors, and understanding execution flow in modern Python applications without the significant overhead associated with traditional debuggers.

Key Features

010 GitHub stars

02Granular event filtering to include or exclude specific operation types

03Support for detailed events including LINE, INSTRUCTION, C_RETURN, and C_RAISE

04Easy integration with existing scripts via command-line argument passing

05High-performance tracing leveraging the Python 3.12+ sys.monitoring API

06Flexible output routing to either stdout or dedicated log files

Use Cases

01Auditing third-party library behavior to ensure security and compliance

02Debugging complex control flows by tracing every instruction in real-time

03Identifying performance bottlenecks in high-load Python applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ahupp/diet-python python-monitoring-trace

For use in Claude.ai and ChatGPT

Download Skill