Diagnose Claude Code hook failures with logging templates and exit code logic.
npx skills add https://github.com/skogai/marketplace --skill hook-debugger
Please help me install this Agent Skill. Skill: hook-debugger Source: https://github.com/skogai/marketplace/tree/main/skogai-hook-debugging Command: npx skills add https://github.com/skogai/marketplace --skill hook-debugger
This skill resolves the complexity of managing and troubleshooting event-driven hooks in Claude Code, helping you identify why a hook fails, how to inspect its input, and how to control its execution flow.
Ask the hook-debugger to explain how to debug a specific hook event like PreToolUse or how to implement the standard logging template in a new script.
High-intent search queries and answers about installing and using this skill.
To debug Claude Code hooks, implement a standardized logging template to capture and inspect the exact JSON payload received during hook execution, verifying input validation and flow control across all 18 lifecycle events.
Exit code logic controls hook flow by using specific codes like exit 2 to block tool execution or prompt submission, allowing shell scripts to manage conditional blocking during event-driven lifecycle hooks.
The best way to inspect JSON input from PreToolUse events is applying a standardized logging template within your shell script to capture and output the exact event payload for diagnostic analysis.
Yes, you need familiarity with shell scripting and JSON processing to implement logging templates and conditional blocking logic required to troubleshoot and debug Claude Code lifecycle hooks effectively.
Your custom hook blocks tool execution due to flow control exit codes; verify your script's exit logic, as returning exit 2 explicitly halts actions, and inspect the JSON input to ensure validation passes.
Yes, you can use event hooks like PreToolUse to validate tool inputs by processing the JSON payload within a shell script and using exit 2 to conditionally block execution if validation fails.
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