What this error means

Stop hook error: JSON validation failed is a Claude Code failure pattern reported for developers trying to fix claude code /goal stop hook failing with json validation error preventing auto-goal clearance. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #58558 filed 2026-05-13 documents the /goal Stop hook rejecting markdown-fenced JSON output. The hook runs Claude as subprocess, which outputs JSON in code fences. Validator rejects it despite structurally valid JSON. Results in: (1) error shown every turn, (2) goal never auto-cleared, (3) requires manual /goal clear.

Common causes

  • The /goal feature's Stop hook rejects valid JSON output wrapped in markdown code fences, showing 'Stop hook error: JSON validation failed' every turn end. Goals never auto-clear, forcing manual /goal clear commands. This breaks the documented auto-complete workflow for task-oriented sessions.
  • GitHub issue #58558 filed 2026-05-13 documents the /goal Stop hook rejecting markdown-fenced JSON output. The hook runs Claude as subprocess, which outputs JSON in code fences. Validator rejects it despite structurally valid JSON. Results in: (1) error shown every turn, (2) goal never auto-cleared, (3) requires manual /goal clear.

Quick fixes

  1. Confirm the exact error signature matches Stop hook error: JSON validation failed.
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.