Imported from luicabref97/sushi-jungle-web (.claude/skills/customaize-agent-create-hook/SKILL.md). Install upstream with npx skills add luicabref97/sushi-jungle-web --skill customaize-agent-create-hook. Copyright stays with the author.

Create Hook Command

Analyze the project, suggest practical hooks, and create them with proper testing.

Your Task (/create-hook)

1. Analyze environment - Detect tooling and existing hooks
2. Suggest hooks - Based on your project configuration
3. Configure hook - Ask targeted questions and create the script
4. Test & validate - Ensure the hook works correctly

Your Workflow

1. Environment Analysis & Suggestions

Automatically detect the project tooling and suggest relevant hooks:

When TypeScript is detected (tsconfig.json):

• PostToolUse hook: "Type-check files after editing"
• PreToolUse hook: "Block edits with type errors"

When Prettier is detected (.prettierrc, prettier.config.js):

• PostToolUse hook: "Auto-format files after editing"
• PreToolUse hook: "Require formatted code"

When ESLint is detected (.eslintrc.*):

• PostToolUse hook: "Lint and auto-fix after editing"
• PreToolUse hook: "Block commits with linting errors"

When package.json has scripts:

• test script → "Run tests before commits"
• build script → "Validate build before commits"

When a git repository is detected:

• PreToolUse/Bash hook: "Prevent commits with secrets"
• PostToolUse hook: "Security scan on file changes"

Decision Tree:

Project has TypeScript? → Suggest type checking hooks
Project has formatter? → Suggest formatting hooks
Project has tests? → Suggest test validation hooks
Security sensitive? → Suggest security hooks
+ Scan for additional patterns and suggest custom hooks based on:
  - Custom scripts in package.json
  - Unique file patterns or extensions
  - Development workflow indicators
  - Project-specific tooling configurations

2. Hook Configuration

Start by asking: "What should this hook do?" and offer relevant suggestions from your analysis.

Then understand the context from the user's description and only ask about details you're unsure about:

1. Trigger timing: When should it run?

   • PreToolUse: Before file operations (can block)
   • PostToolUse: After file operations (feedback/fixes)
   • UserPromptSubmit: Before processing requests
   • Other event types as needed

2. Tool matcher: Which tools should trigger it? (Write, Edit, Bash, * etc)

3. Scope: global, project, or project-local

4. Response approach:

   • Exit codes only: Simple (exit 0 = success, exit 2 = block in PreToolUse)
   • JSON response: Advanced control (blocking, context, decisions)
   • Guide based on complexity: simple pass/fail → exit codes, rich feedback → JSON

5. Blocking behavior (if relevant): "Should this stop operations when issues are found?"

   • PreToolUse: Can block operations (security, validation)
   • PostToolUse: Usually provide feedback only

6. Claude integration (CRITICAL): "Should Claude Code automatically see and fix issues this hook detects?"

   • If YES: Use additionalContext for error communication
   • If NO: Use suppressOutput: true for silent operation

7. Context pollution: "Should successful operations be silent to avoid noise?"

   • Recommend YES for formatting, routine checks
   • Recommend NO for security alerts, critical errors

8. File filtering: "What file types should this hook process?"

3. Hook Creation

You should:

• Create hooks directory: ~/.claude/hooks/ or .claude/hooks/ based on scope
• Generate script: Create hook script with:
  • Proper shebang and executable permissions
  • Project-specific commands (use detected config paths)
  • Comments explaining the hook's purpose
• Update settings: Add hook configuration to appropriate settings.json
• Use absolute paths: Avoid relative paths to scripts and executables. Use $CLAUDE_PROJECT_DIR to reference project root
• Offer validation: Ask if the user wants you to test the hook

Key Implementation Standards:

• Read JSON from stdin (never use argv)
• Use top-level additionalContext/systemMessage for Claude communication
• Include suppressOutput: true for successful operations
• Provide specific error counts and actionable feedback
• Focus on changed files rather than entire codebase
• Support common development workflows

⚠️ CRITICAL: Input/Output Format

This is where most hook implementations fail. Pay extra attention to:

• Input: Reading JSON from stdin correctly (not argv)
• Output: Using correct top-level JSON structure for Claude communication
• Documentation: Consulting official docs for exact schemas when in doubt

4. Testing & Validation

CRITICAL: Test both happy and sad paths:

Happy Path Testing:

1. Test expected success scenario - Create conditions where hook should pass
   • Examples: TypeScript (valid code), Linting (formatted code), Security (safe commands)

Sad Path Testing: 2. Test expected failure scenario - Create conditions where hook should fail/warn

• Examples: TypeScript (type errors), Linting (unformatted code), Security (dangerous operations)

Verification Steps: 3. Verify expected behavior: Check if it blocks/warns/provides context as intended

Example Testing Process:

• For a hook preventing file deletion: Create a test file, attempt the protected action, and verify the hook prevents it

If Issues Occur, you should:

• Check hook registration in settings
• Verify script permissions (chmod +x)
• Test with simplified version first
• Debug with detailed hook execution analysis

Hook Templates

Type Checking (PostToolUse)

#!/usr/bin/env node
// Read stdin JSON, check .ts/.tsx files only
// Run: npx tsc --noEmit --pretty
// Output: JSON with additionalContext for errors

Auto-formatting (PostToolUse)

#!/usr/bin/env node
// Read stdin JSON, check supported file types
// Run: npx prettier --write [file]
// Output: JSON with suppressOutput: true

Security Scanning (PreToolUse)

#!/bin/bash
# Read stdin JSON, check for secrets/keys
# Block if dangerous patterns found
# Exit 2 to block, 0 to continue

Complete templates available at: https://docs.claude.com/en/docs/claude-code/hooks#examples

Quick Reference

📖 Official Docs: https://docs.claude.com/en/docs/claude-code/hooks.md

Common Patterns:

• stdin input: JSON.parse(process.stdin.read())
• File filtering: Check extensions before processing
• Success response: {continue: true, suppressOutput: true}
• Error response: {continue: true, additionalContext: "error details"}
• Block operation: exit(2) in PreToolUse hooks

Hook Types by Use Case:

• Code Quality: PostToolUse for feedback and fixes
• Security: PreToolUse to block dangerous operations
• CI/CD: PreToolUse to validate before commits
• Development: PostToolUse for automated improvements

Hook Execution Best Practices:

• Hooks run in parallel according to official documentation
• Design for independence since execution order isn't guaranteed
• Plan hook interactions carefully when multiple hooks affect the same files

Success Criteria

✅ Hook created successfully when:

• Script has executable permissions
• Registered in correct settings.json
• Responds correctly to test scenarios
• Integrates properly with Claude for automated fixes
• Follows project conventions and detected tooling

Result: The user gets a working hook that enhances their development workflow with intelligent automation and quality checks.

Documentation Index

Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt Use this file to discover all available pages before exploring further.

Automate workflows with hooks

Run shell commands automatically when Claude Code edits files, finishes tasks, or needs input. Format code, send notifications, validate commands, and enforce project rules.

Hooks are user-defined shell commands that execute at specific points in Claude Code's lifecycle. They provide deterministic control over Claude Code's behavior, ensuring certain actions always happen rather than relying on the LLM to choose to run them. Use hooks to enforce project rules, automate repetitive tasks, and integrate Claude Code with your existing tools.

For decisions that require judgment rather than deterministic rules, you can also use prompt-based hooks or agent-based hooks that use a Claude model to evaluate conditions.

For other ways to extend Claude Code, see skills for giving Claude additional instructions and executable commands, subagents for running tasks in isolated contexts, and plugins for packaging extensions to share across projects.

Set up your first hook

The fastest way to create a hook is through the /hooks interactive menu in Claude Code. This walkthrough creates a desktop notification hook, so you get alerted whenever Claude is waiting for your input instead of watching the terminal.

<Tabs>
  <Tab title="macOS">
    Uses [`osascript`](https://ss64.com/mac/osascript.html) to trigger a native macOS notification through AppleScript:

    ```
    osascript -e 'display notification "Claude Code needs your attention" with title "Claude Code"'
    ```
  </Tab>

  <Tab title="Linux">
    Uses `notify-send`, which is pre-installed on most Linux desktops with a notification daemon:

    ```
    notify-send 'Claude Code' 'Claude Code needs your attention'
    ```
  </Tab>

  <Tab title="Windows (PowerShell)">
    Uses PowerShell to show a native message box through .NET's Windows Forms:

    ```
    powershell.exe -Command "[System.Reflection.Assembly]::LoadWithPartialName('System.Windows.Forms'); [System.Windows.Forms.MessageBox]::Show('Claude Code needs your attention', 'Claude Code')"
    ```
  </Tab>
</Tabs>

What you can automate

Hooks let you run code at key points in Claude Code's lifecycle: format files after edits, block commands before they execute, send notifications when Claude needs input, inject context at session start, and more. For the full list of hook events, see the Hooks reference.

Each example includes a ready-to-use configuration block that you add to a settings file. The most common patterns:

• Get notified when Claude needs input
• Auto-format code after edits
• Block edits to protected files
• Re-inject context after compaction

Get notified when Claude needs input

Get a desktop notification whenever Claude finishes working and needs your input, so you can switch to other tasks without checking the terminal.

This hook uses the Notification event, which fires when Claude is waiting for input or permission. Each tab below uses the platform's native notification command. Add this to ~/.claude/settings.json, or use the interactive walkthrough above to configure it with /hooks:

Auto-format code after edits

Automatically run Prettier on every file Claude edits, so formatting stays consistent without manual intervention.

This hook uses the PostToolUse event with an Edit|Write matcher, so it runs only after file-editing tools. The command extracts the edited file path with jq and passes it to Prettier. Add this to .claude/settings.json in your project root:

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Edit|Write",
        "hooks": [
          {
            "type": "command",
            "command": "jq -r '.tool_input.file_path' | xargs npx prettier --write"
          }
        ]
      }
    ]
  }
}

Block edits to protected files

Prevent Claude from modifying sensitive files like .env, package-lock.json, or anything in .git/. Claude receives feedback explaining why the edit was blocked, so it can adjust its approach.

This example uses a separate script file that the hook calls. The script checks the target file path against a list of protected patterns and exits with code 2 to block the edit.

```bash  theme={null}
#!/bin/bash
# protect-files.sh

INPUT=$(cat)
FILE_PATH=$(echo "$INPUT" | jq -r '.tool_input.file_path // empty')

PROTECTED_PATTERNS=(".env" "package-lock.json" ".git/")

for pattern in "${PROTECTED_PATTERNS[@]}"; do
  if [[ "$FILE_PATH" == *"$pattern"* ]]; then
    echo "Blocked: $FILE_PATH matches protected pattern '$pattern'" >&2
    exit 2
  fi
done

exit 0
```

```bash  theme={null}
chmod +x .claude/hooks/protect-files.sh
```

```json  theme={null}
{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Edit|Write",
        "hooks": [
          {
            "type": "command",
            "command": "\"$CLAUDE_PROJECT_DIR\"/.claude/hooks/protect-files.sh"
          }
        ]
      }
    ]
  }
}
```

Re-inject context after compaction

When Claude's context window fills up, compaction summarizes the conversation to free space. This can lose important details. Use a SessionStart hook with a compact matcher to re-inject critical context after every compaction.

Any text your command writes to stdout is added to Claude's context. This example reminds Claude of project conventions and recent work. Add this to .claude/settings.json in your project root:

{
  "hooks": {
    "SessionStart": [
      {
        "matcher": "compact",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Reminder: use Bun, not npm. Run bun test before committing. Current sprint: auth refactor.'"
          }
        ]
      }
    ]
  }
}

You can replace the echo with any command that produces dynamic output, like git log --oneline -5 to show recent commits. For injecting context on every session start, consider using CLAUDE.md instead. For environment variables, see CLAUDE_ENV_FILE in the reference.

How hooks work

Hook events fire at specific lifecycle points in Claude Code. When an event fires, all matching hooks run in parallel, and identical hook commands are automatically deduplicated. The table below shows each event and when it triggers:

Each hook has a type that determines how it runs. Most hooks use "type": "command", which runs a shell command. Two other options use a Claude model to make decisions: "type": "prompt" for single-turn evaluation and "type": "agent" for multi-turn verification with tool access. See Prompt-based hooks and Agent-based hooks for details.

Read input and return output

Hooks communicate with Claude Code through stdin, stdout, stderr, and exit codes. When an event fires, Claude Code passes event-specific data as JSON to your script's stdin. Your script reads that data, does its work, and tells Claude Code what to do next via the exit code.

Hook input

Every event includes common fields like session_id and cwd, but each event type adds different data. For example, when Claude runs a Bash command, a PreToolUse hook receives something like this on stdin:

{
  "session_id": "abc123",          // unique ID for this session
  "cwd": "/Users/sarah/myproject", // working directory when the event fired
  "hook_event_name": "PreToolUse", // which event triggered this hook
  "tool_name": "Bash",             // the tool Claude is about to use
  "tool_input": {                  // the arguments Claude passed to the tool
    "command": "npm test"          // for Bash, this is the shell command
  }
}

Your script can parse that JSON and act on any of those fields. UserPromptSubmit hooks get the prompt text instead, SessionStart hooks get the source (startup, resume, compact), and so on. See Common input fields in the reference for shared fields, and each event's section for event-specific schemas.

Hook output

Your script tells Claude Code what to do next by writing to stdout or stderr and exiting with a specific code. For example, a PreToolUse hook that wants to block a command:

#!/bin/bash
INPUT=$(cat)
COMMAND=$(echo "$INPUT" | jq -r '.tool_input.command')

if echo "$COMMAND" | grep -q "drop table"; then
  echo "Blocked: dropping tables is not allowed" >&2  # stderr becomes Claude's feedback
  exit 2                                               # exit 2 = block the action
fi

exit 0  # exit 0 = let it proceed

The exit code determines what happens next:

• Exit 0: the action proceeds. For UserPromptSubmit and SessionStart hooks, anything you write to stdout is added to Claude's context.
• Exit 2: the action is blocked. Write a reason to stderr, and Claude receives it as feedback so it can adjust.
• Any other exit code: the action proceeds. Stderr is logged but not shown to Claude. Toggle verbose mode with Ctrl+O to see these messages in the transcript.

Structured JSON output

Exit codes give you two options: allow or block. For more control, exit 0 and print a JSON object to stdout instead.

For example, a PreToolUse hook can deny a tool call and tell Claude why, or escalate it to the user for approval:

{
  "hookSpecificOutput": {
    "hookEventName": "PreToolUse",
    "permissionDecision": "deny",
    "permissionDecisionReason": "Use rg instead of grep for better performance"
  }
}

Claude Code reads permissionDecision and cancels the tool call, then feeds permissionDecisionReason back to Claude as feedback. These three options are specific to PreToolUse:

• "allow": proceed without showing a permission prompt
• "deny": cancel the tool call and send the reason to Claude
• "ask": show the permission prompt to the user as normal

Other events use different decision patterns. For example, PostToolUse and Stop hooks use a top-level decision: "block" field, while PermissionRequest uses hookSpecificOutput.decision.behavior. See the summary table in the reference for a full breakdown by event.

For UserPromptSubmit hooks, use additionalContext instead to inject text into Claude's context. Prompt-based hooks (type: "prompt") handle output differently: see Prompt-based hooks.

Filter hooks with matchers

Without a matcher, a hook fires on every occurrence of its event. Matchers let you narrow that down. For example, if you want to run a formatter only after file edits (not after every tool call), add a matcher to your PostToolUse hook:

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Edit|Write",
        "hooks": [
          { "type": "command", "command": "prettier --write ..." }
        ]
      }
    ]
  }
}

The "Edit|Write" matcher is a regex pattern that matches the tool name. The hook only fires when Claude uses the Edit or Write tool, not when it uses Bash, Read, or any other tool.

Each event type matches on a specific field. Matchers support exact strings and regex patterns:

A few more examples showing matchers on different event types:

```json  theme={null}
{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Bash",
        "hooks": [
          {
            "type": "command",
            "command": "jq -r '.tool_input.command' >> ~/.claude/command-log.txt"
          }
        ]
      }
    ]
  }
}
```

The command below extracts the tool name from the hook's JSON input with `jq` and writes it to stderr, where it shows up in verbose mode (`Ctrl+O`):

```json  theme={null}
{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "mcp__github__.*",
        "hooks": [
          {
            "type": "command",
            "command": "echo \"GitHub tool called: $(jq -r '.tool_name')\" >&2"
          }
        ]
      }
    ]
  }
}
```

```json  theme={null}
{
  "hooks": {
    "SessionEnd": [
      {
        "matcher": "clear",
        "hooks": [
          {
            "type": "command",
            "command": "rm -f /tmp/claude-scratch-*.txt"
          }
        ]
      }
    ]
  }
}
```

For full matcher syntax, see the Hooks reference.

Configure hook location

Where you add a hook determines its scope:

You can also use the /hooks menu in Claude Code to add, delete, and view hooks interactively. To disable all hooks at once, use the toggle at the bottom of the /hooks menu or set "disableAllHooks": true in your settings file.

Hooks added through the /hooks menu take effect immediately. If you edit settings files directly while Claude Code is running, the changes won't take effect until you review them in the /hooks menu or restart your session.

Prompt-based hooks

For decisions that require judgment rather than deterministic rules, use type: "prompt" hooks. Instead of running a shell command, Claude Code sends your prompt and the hook's input data to a Claude model (Haiku by default) to make the decision. You can specify a different model with the model field if you need more capability.

The model's only job is to return a yes/no decision as JSON:

• "ok": true: the action proceeds
• "ok": false: the action is blocked. The model's "reason" is fed back to Claude so it can adjust.

This example uses a Stop hook to ask the model whether all requested tasks are complete. If the model returns "ok": false, Claude keeps working and uses the reason as its next instruction:

{
  "hooks": {
    "Stop": [
      {
        "hooks": [
          {
            "type": "prompt",
            "prompt": "Check if all tasks are complete. If not, respond with {\"ok\": false, \"reason\": \"what remains to be done\"}."
          }
        ]
      }
    ]
  }
}

For full configuration options, see Prompt-based hooks in the reference.

Agent-based hooks

When verification requires inspecting files or running commands, use type: "agent" hooks. Unlike prompt hooks which make a single LLM call, agent hooks spawn a subagent that can read files, search code, and use other tools to verify conditions before returning a decision.

Agent hooks use the same "ok" / "reason" response format as prompt hooks, but with a longer default timeout of 60 seconds and up to 50 tool-use turns.

This example verifies that tests pass before allowing Claude to stop:

{
  "hooks": {
    "Stop": [
      {
        "hooks": [
          {
            "type": "agent",
            "prompt": "Verify that all unit tests pass. Run the test suite and check the results. $ARGUMENTS",
            "timeout": 120
          }
        ]
      }
    ]
  }
}

Use prompt hooks when the hook input data alone is enough to make a decision. Use agent hooks when you need to verify something against the actual state of the codebase.

For full configuration options, see Agent-based hooks in the reference.

Limitations and troubleshooting

Limitations

• Hooks communicate through stdout, stderr, and exit codes only. They cannot trigger slash commands or tool calls directly.
• Hook timeout is 10 minutes by default, configurable per hook with the timeout field (in seconds).
• PostToolUse hooks cannot undo actions since the tool has already executed.
• PermissionRequest hooks do not fire in non-interactive mode (-p). Use PreToolUse hooks for automated permission decisions.
• Stop hooks fire whenever Claude finishes responding, not only at task completion. They do not fire on user interrupts.

Hook not firing

The hook is configured but never executes.

• Run /hooks and confirm the hook appears under the correct event
• Check that the matcher pattern matches the tool name exactly (matchers are case-sensitive)
• Verify you're triggering the right event type (e.g., PreToolUse fires before tool execution, PostToolUse fires after)
• If using PermissionRequest hooks in non-interactive mode (-p), switch to PreToolUse instead

Hook error in output

You see a message like "PreToolUse hook error: ..." in the transcript.

• Your script exited with a non-zero code unexpectedly. Test it manually by piping sample JSON:

  echo '{"tool_name":"Bash","tool_input":{"command":"ls"}}' | ./my-hook.sh
  echo $?  # Check the exit code

• If you see "command not found", use absolute paths or $CLAUDE_PROJECT_DIR to reference scripts

• If you see "jq: command not found", install jq or use Python/Node.js for JSON parsing
• If the script isn't running at all, make it executable: chmod +x ./my-hook.sh

/hooks shows no hooks configured

You edited a settings file but the hooks don't appear in the menu.

• Restart your session or open /hooks to reload. Hooks added through the /hooks menu take effect immediately, but manual file edits require a reload.
• Verify your JSON is valid (trailing commas and comments are not allowed)
• Confirm the settings file is in the correct location: .claude/settings.json for project hooks, ~/.claude/settings.json for global hooks

Stop hook runs forever

Claude keeps working in an infinite loop instead of stopping.

Your Stop hook script needs to check whether it already triggered a continuation. Parse the stop_hook_active field from the JSON input and exit early if it's true:

#!/bin/bash
INPUT=$(cat)
if [ "$(echo "$INPUT" | jq -r '.stop_hook_active')" = "true" ]; then
  exit 0  # Allow Claude to stop
fi
# ... rest of your hook logic

JSON validation failed

Claude Code shows a JSON parsing error even though your hook script outputs valid JSON.

When Claude Code runs a hook, it spawns a shell that sources your profile (~/.zshrc or ~/.bashrc). If your profile contains unconditional echo statements, that output gets prepended to your hook's JSON:

Shell ready on arm64
{"decision": "block", "reason": "Not allowed"}

Claude Code tries to parse this as JSON and fails. To fix this, wrap echo statements in your shell profile so they only run in interactive shells:

# In ~/.zshrc or ~/.bashrc
if [[ $- == *i* ]]; then
  echo "Shell ready"
fi

The $- variable contains shell flags, and i means interactive. Hooks run in non-interactive shells, so the echo is skipped.

Debug techniques

Toggle verbose mode with Ctrl+O to see hook output in the transcript, or run claude --debug for full execution details including which hooks matched and their exit codes.

Learn more

• Hooks reference: full event schemas, JSON output format, async hooks, and MCP tool hooks
• Security considerations: review before deploying hooks in shared or production environments
• Bash command validator example: complete reference implementation

Documentation Index

Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt Use this file to discover all available pages before exploring further.

Hooks reference

Reference for Claude Code hook events, configuration schema, JSON input/output formats, exit codes, async hooks, prompt hooks, and MCP tool hooks.

Hooks are user-defined shell commands or LLM prompts that execute automatically at specific points in Claude Code's lifecycle. Use this reference to look up event schemas, configuration options, JSON input/output formats, and advanced features like async hooks and MCP tool hooks. If you're setting up hooks for the first time, start with the guide instead.

Hook lifecycle

Hooks fire at specific points during a Claude Code session. When an event fires and a matcher matches, Claude Code passes JSON context about the event to your hook handler. For command hooks, this arrives on stdin. Your handler can then inspect the input, take action, and optionally return a decision. Some events fire once per session, while others fire repeatedly inside the agentic loop:

The table below summarizes when each event fires. The Hook events section documents the full input schema and decision control options for each one.

How a hook resolves

To see how these pieces fit together, consider this PreToolUse hook that blocks destructive shell commands. The hook runs block-rm.sh before every Bash tool call:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Bash",
        "hooks": [
          {
            "type": "command",
            "command": ".claude/hooks/block-rm.sh"
          }
        ]
      }
    ]
  }
}

The script reads the JSON input from stdin, extracts the command, and returns a permissionDecision of "deny" if it contains rm -rf:

#!/bin/bash
# .claude/hooks/block-rm.sh
COMMAND=$(jq -r '.tool_input.command')

if echo "$COMMAND" | grep -q 'rm -rf'; then
  jq -n '{
    hookSpecificOutput: {
      hookEventName: "PreToolUse",
      permissionDecision: "deny",
      permissionDecisionReason: "Destructive command blocked by hook"
    }
  }'
else
  exit 0  # allow the command
fi

Now suppose Claude Code decides to run Bash "rm -rf /tmp/build". Here's what happens:

```json  theme={null}
{ "tool_name": "Bash", "tool_input": { "command": "rm -rf /tmp/build" }, ... }
```

```json  theme={null}
{
  "hookSpecificOutput": {
    "hookEventName": "PreToolUse",
    "permissionDecision": "deny",
    "permissionDecisionReason": "Destructive command blocked by hook"
  }
}
```

If the command had been safe (like `npm test`), the script would hit `exit 0` instead, which tells Claude Code to allow the tool call with no further action.

The Configuration section below documents the full schema, and each hook event section documents what input your command receives and what output it can return.

Configuration

Hooks are defined in JSON settings files. The configuration has three levels of nesting:

1. Choose a hook event to respond to, like PreToolUse or Stop
2. Add a matcher group to filter when it fires, like "only for the Bash tool"
3. Define one or more hook handlers to run when matched

See How a hook resolves above for a complete walkthrough with an annotated example.

Hook locations

Where you define a hook determines its scope:

For details on settings file resolution, see settings. Enterprise administrators can use allowManagedHooksOnly to block user, project, and plugin hooks. See Hook configuration.

Matcher patterns

The matcher field is a regex string that filters when hooks fire. Use "*", "", or omit matcher entirely to match all occurrences. Each event type matches on a different field:

The matcher is a regex, so Edit|Write matches either tool and Notebook.* matches any tool starting with Notebook. The matcher runs against a field from the JSON input that Claude Code sends to your hook on stdin. For tool events, that field is tool_name. Each hook event section lists the full set of matcher values and the input schema for that event.

This example runs a linting script only when Claude writes or edits a file:

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Edit|Write",
        "hooks": [
          {
            "type": "command",
            "command": "/path/to/lint-check.sh"
          }
        ]
      }
    ]
  }
}

UserPromptSubmit and Stop don't support matchers and always fire on every occurrence. If you add a matcher field to these events, it is silently ignored.

Match MCP tools

MCP server tools appear as regular tools in tool events (PreToolUse, PostToolUse, PostToolUseFailure, PermissionRequest), so you can match them the same way you match any other tool name.

MCP tools follow the naming pattern mcp__<server>__<tool>, for example:

• mcp__memory__create_entities: Memory server's create entities tool
• mcp__filesystem__read_file: Filesystem server's read file tool
• mcp__github__search_repositories: GitHub server's search tool

Use regex patterns to target specific MCP tools or groups of tools:

• mcp__memory__.* matches all tools from the memory server
• mcp__.*__write.* matches any tool containing "write" from any server

This example logs all memory server operations and validates write operations from any MCP server:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "mcp__memory__.*",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Memory operation initiated' >> ~/mcp-operations.log"
          }
        ]
      },
      {
        "matcher": "mcp__.*__write.*",
        "hooks": [
          {
            "type": "command",
            "command": "/home/user/scripts/validate-mcp-write.py"
          }
        ]
      }
    ]
  }
}

Hook handler fields

Each object in the inner hooks array is a hook handler: the shell command, LLM prompt, or agent that runs when the matcher matches. There are three types:

• Command hooks (type: "command"): run a shell command. Your script receives the event's JSON input on stdin and communicates results back through exit codes and stdout.
• Prompt hooks (type: "prompt"): send a prompt to a Claude model for single-turn evaluation. The model returns a yes/no decision as JSON. See Prompt-based hooks.
• Agent hooks (type: "agent"): spawn a subagent that can use tools like Read, Grep, and Glob to verify conditions before returning a decision. See Agent-based hooks.

Common fields

These fields apply to all hook types:

Command hook fields

In addition to the common fields, command hooks accept these fields:

Prompt and agent hook fields

In addition to the common fields, prompt and agent hooks accept these fields:

All matching hooks run in parallel, and identical handlers are deduplicated automatically. Handlers run in the current directory with Claude Code's environment. The $CLAUDE_CODE_REMOTE environment variable is set to "true" in remote web environments and not set in the local CLI.

Reference scripts by path

Use environment variables to reference hook scripts relative to the project or plugin root, regardless of the working directory when the hook runs:

• $CLAUDE_PROJECT_DIR: the project root. Wrap in quotes to handle paths with spaces.
• ${CLAUDE_PLUGIN_ROOT}: the plugin's root directory, for scripts bundled with a plugin.

```json  theme={null}
{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Write|Edit",
        "hooks": [
          {
            "type": "command",
            "command": "\"$CLAUDE_PROJECT_DIR\"/.claude/hooks/check-style.sh"
          }
        ]
      }
    ]
  }
}
```

This example runs a formatting script bundled with the plugin:

```json  theme={null}
{
  "description": "Automatic code formatting",
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Write|Edit",
        "hooks": [
          {
            "type": "command",
            "command": "${CLAUDE_PLUGIN_ROOT}/scripts/format.sh",
            "timeout": 30
          }
        ]
      }
    ]
  }
}
```

See the [plugin components reference](/en/plugins-reference#hooks) for details on creating plugin hooks.

Hooks in skills and agents

In addition to settings files and plugins, hooks can be defined directly in skills and subagents using frontmatter. These hooks are scoped to the component's lifecycle and only run when that component is active.

All hook events are supported. For subagents, Stop hooks are automatically converted to SubagentStop since that is the event that fires when a subagent completes.

Hooks use the same configuration format as settings-based hooks but are scoped to the component's lifetime and cleaned up when it finishes.

This skill defines a PreToolUse hook that runs a security validation script before each Bash command:

---
name: secure-operations
description: Perform operations with security checks
hooks:
  PreToolUse:
    - matcher: "Bash"
      hooks:
        - type: command
          command: "./scripts/security-check.sh"
---

Agents use the same format in their YAML frontmatter.

The /hooks menu

Type /hooks in Claude Code to open the interactive hooks manager, where you can view, add, and delete hooks without editing settings files directly. For a step-by-step walkthrough, see Set up your first hook in the guide.

Each hook in the menu is labeled with a bracket prefix indicating its source:

• [User]: from ~/.claude/settings.json
• [Project]: from .claude/settings.json
• [Local]: from .claude/settings.local.json
• [Plugin]: from a plugin's hooks/hooks.json, read-only

Disable or remove hooks

To remove a hook, delete its entry from the settings JSON file, or use the /hooks menu and select the hook to delete it.

To temporarily disable all hooks without removing them, set "disableAllHooks": true in your settings file or use the toggle in the /hooks menu. There is no way to disable an individual hook while keeping it in the configuration.

Direct edits to hooks in settings files don't take effect immediately. Claude Code captures a snapshot of hooks at startup and uses it throughout the session. This prevents malicious or accidental hook modifications from taking effect mid-session without your review. If hooks are modified externally, Claude Code warns you and requires review in the /hooks menu before changes apply.

Hook input and output

Hooks receive JSON data via stdin and communicate results through exit codes, stdout, and stderr. This section covers fields and behavior common to all events. Each event's section under Hook events includes its specific input schema and decision control options.

Common input fields

All hook events receive these fields via stdin as JSON, in addition to event-specific fields documented in each hook event section:

*Truncated - read the full file at https://github.com/luicabref97/sushi-jungle-web/blob/b14e6405deee23f56a85b86d51831e22f7651286/.claude/skills/customaize-agent-create-hook/SKILL.md.