What information is included in the generated bug report?

The report includes the test name, error message, call stack trace, input values, observed vs. expected outcomes, and any other relevant diagnostic data.

How does this skill assist when a test case fails?

It follows a rigorous protocol to read the test functionality, backtrace the call stack, verify inputs, and use print statements to find where the logic deviates.

Can this skill create GitHub Issues automatically?

Yes, if the bug is related to an implementation on your current branch, the skill can upload the diagnostic report directly to the relevant GitHub Issue.

How does it pinpoint the location of a bug?

It uses strategic print statements to monitor intermediate values and identifies the specific branch or function where the value starts to deviate from expectations.

Debugging & Bug Reporting

Name: Debugging & Bug Reporting
Author: Synthesys-Lab

bySynthesys-Lab

•

Security & Testing

Automates the systematic analysis of failed test cases and generates comprehensive bug reports for GitHub Issues.

The Debugging & Bug Reporting skill provides a structured framework for Claude to handle failed test cases with precision. It guides the AI through a rigorous diagnostic process—including call stack backtracing, input verification, and strategic print debugging—to identify exactly where code deviates from expected behavior. When a resolution cannot be found, the skill automatically compiles a standardized report containing stack traces, input data, and comparative results, allowing it to either post the bug directly to a GitHub Issue or present a detailed summary for human review.

Key Features

01Context-aware logic that identifies issue-related bugs based on branch names.

02Automated print-statement insertion for real-time value tracking.

03Comprehensive report generation including inputs and expected vs. actual values.

04Systematic call stack backtracing to locate the root cause of errors.

0537 GitHub stars

06Direct integration with GitHub Issues for automated bug reporting.

Use Cases

01Automating the hand-off of persistent bugs to human developers via structured GitHub reports.

02Performing root-cause analysis on regression failures in a continuous development cycle.

03Diagnosing and documenting complex logic failures during unit or integration testing.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add synthesys-lab/agentize debug-report

For use in Claude.ai and ChatGPT

Key Features

01Context-aware logic that identifies issue-related bugs based on branch names.

02Automated print-statement insertion for real-time value tracking.

03Comprehensive report generation including inputs and expected vs. actual values.

04Systematic call stack backtracing to locate the root cause of errors.

0537 GitHub stars

06Direct integration with GitHub Issues for automated bug reporting.

Use Cases

01Automating the hand-off of persistent bugs to human developers via structured GitHub reports.

02Performing root-cause analysis on regression failures in a continuous development cycle.

03Diagnosing and documenting complex logic failures during unit or integration testing.