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.

osascript -e 'display notification "Claude Code needs your attention" with title "Claude Code"'

notify-send 'Claude Code' 'Claude Code needs your attention'

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

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
• Audit configuration changes

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:

{
"hooks": {
"Notification": [
{
"matcher": "",
"hooks": [
{
"type": "command",
"command": "osascript -e 'display notification \"Claude Code needs your attention\" with title \"Claude Code\"'"
}
]
}
]
}
}

{
"hooks": {
"Notification": [
{
"matcher": "",
"hooks": [
{
"type": "command",
"command": "notify-send 'Claude Code' 'Claude Code needs your attention'"
}
]
}
]
}
}

{
"hooks": {
"Notification": [
{
"matcher": "",
"hooks": [
{
"type": "command",
"command": "powershell.exe -Command \"[System.Reflection.Assembly]::LoadWithPartialName('System.Windows.Forms'); [System.Windows.Forms.MessageBox]::Show('Claude Code needs your attention', 'Claude Code')\""
}
]
}
]
}
}

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.

#!/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

chmod +x .claude/hooks/protect-files.sh

{
"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.

Audit configuration changes

Track when settings or skills files change during a session. The ConfigChange event fires when an external process or editor modifies a configuration file, so you can log changes for compliance or block unauthorized modifications.

This example appends each change to an audit log. Add this to ~/.claude/settings.json:

{
  "hooks": {
    "ConfigChange": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "jq -c '{timestamp: now | todate, source: .source, file: .file_path}' >> ~/claude-config-audit.log"
          }
        ]
      }
    ]
  }
}

The matcher filters by configuration type: user_settings, project_settings, local_settings, policy_settings, or skills. To block a change from taking effect, exit with code 2 or return {"decision": "block"}. See the ConfigChange reference for the full input schema.

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:

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

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

{
"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