AI Agent Skill: Efficient Bug Fixing for Claude Code & Codex

AI Agent Skill: Efficient Bug Fixing for Claude Code & Codex

This AI Agent Skill assists developers using Claude Code and Codex by facilitating efficient bug fixing in completed AI agent projects. It focuses on documentation maintenance, regression testing inclusion, and independent validation for issues discovered post-deployment.

What this skill does

• Determines if a reported issue is a bug or a feature request, ensuring proper classification.
• Allocates a "BUG-NN" identifier for each identified bug and records the reproduction process and expected behavior in the LOG.md file.
• Confirms the root cause of the bug, documenting it in the LOG.md file before proceeding with the fix.
• Implements and registers a regression test to the harness-update, confirming failure prior to code correction.
• Executes the corrective code changes and verifies passage through the gate network based on predefined criteria.
• Ensures separation in validation sessions with the task validation process, using the reproduction line as acceptance criteria.
• Completes the process by making a single commit with a message indicating the "BUG-NN" reference.

Who it is for

• Developers working with AI coding agents like Claude Code and Codex.
• Engineering teams responsible for post-deployment maintenance and bug fixing.
• Quality assurance specialists seeking organized workflows for bug resolution.

Use cases

• Addressing user feedback such as "This feature isn't working" or "I encountered an error with this button."
• Streamlining the documentation of bugs discovered outside of active development phases.
• Ensuring long-term code reliability by integrating regression tests for fixed bugs.

Technical details

• This skill utilizes agent-skills technology within Claude Code and Codex environments.
• Facilitates structured documentation updates in LOG.md without altering core project documents like plan_setup or STATE.md.
• Engages with harness-update tools to maintain comprehensive regression testing workflows.

Source & Licence

This package is built on open-source work published by GangJaeYu (GangJaeYu/harness_loop_full_korean) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.