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Automating with Hooks

Hooks let you run automated scripts at key moments during a Claude Code agent session — when a session starts or ends, when the user submits a prompt, or before and after the agent uses a tool. They’re the glue between Claude Code’s AI capabilities and your team’s existing tooling: linters, formatters, governance scanners, and notification systems.

This article explains how hooks work, how to configure them, and practical patterns for common automation needs.

Hooks are shell commands or scripts that run automatically in response to lifecycle events during a Claude Code agent session. They execute outside the AI model, they’re deterministic, repeatable, and under your full control.

Key characteristics:

  • Hooks run as shell commands on the user’s machine
  • They execute synchronously—the agent waits for them to complete
  • They can block actions (e.g., prevent commits that fail linting)
  • They’re defined in JSON files stored at .github/hooks/*.json in your repository
  • They receive detailed context via JSON input, enabling context-aware automation
  • They can include bundled scripts for complex logic
Use CaseBest Tool
Run a linter after every code changeHook
Teach Claude Code your coding standardsInstruction
Automate a multi-step workflowSkill or Agent
Scan prompts for sensitive dataHook
Format code before committingHook
Generate tests for new codeSkill

Hooks are ideal for deterministic automation that must happen reliably—things you don’t want to depend on the AI remembering to do.

Each hook in this repository is a folder containing:

hooks/
└── my-hook/
├── README.md # Documentation with frontmatter
├── hooks.json # Hook configuration
└── scripts/ # Optional bundled scripts
└── check.sh

Note: Not all of these files are required for a generalised hook implementation. In your own repository, hooks are stored as JSON files in .github/hooks/ (e.g., .github/hooks/my-hook.json). The folder structure above with README.md is specific to the Awesome Claude Code repository for documentation purposes.

The configuration defines which events trigger which commands:

{
"version": 1,
"hooks": {
"postToolUse": [
{
"type": "command",
"bash": "npx prettier --write .",
"cwd": ".",
"timeoutSec": 30
}
]
}
}

Hooks can trigger on several lifecycle events:

EventWhen It FiresCommon Use Cases
sessionStartAgent session begins or resumesInitialize environments, log session starts, validate project state
sessionEndAgent session completes or is terminatedClean up temp files, generate reports, send notifications
userPromptSubmittedUser submits a promptLog requests for auditing and compliance
preToolUseBefore the agent uses any tool (e.g., bash, edit)Approve or deny tool executions, block dangerous commands, enforce security policies
postToolUseAfter a tool successfully completes executionLog results, track usage, format code after edits
postToolUseFailureWhen a tool call fails with an errorLog errors for debugging, send failure alerts, track error patterns
PermissionRequestWhen the CLI shows a permission prompt to the userProgrammatically approve or deny permission requests, enable auto-approval in CI/headless environments
agentStopMain agent finishes responding to a promptRun final linters/formatters, validate complete changes
preCompactBefore the agent compacts its context windowSave a snapshot, log compaction event, run summary scripts
subagentStartA subagent is spawned by the main agentInject additional context into the subagent’s prompt, log subagent launches
subagentStopA subagent completes before returning resultsAudit subagent outputs, log subagent activity
errorOccurredAn error occurs during agent executionLog errors for debugging, send notifications, track error patterns

Key insight: The preToolUse hook is the most powerful — it can approve or deny individual tool executions. This enables fine-grained security policies like blocking specific shell commands or requiring approval for sensitive file operations.

The sessionStart hook supports an additionalContext field in its output. When your hook script writes JSON to stdout containing an additionalContext key, that text is injected directly into the conversation at the start of the session. This lets hooks dynamically provide environment-specific context—such as the current git branch, deployment environment, or team onboarding notes—without requiring the user to paste it manually.

Example hook script that surfaces context:

#!/usr/bin/env bash
# Output JSON with additionalContext to inject into the session
cat <<EOF
{
"additionalContext": "Current branch: $(git rev-parse --abbrev-ref HEAD). Open tickets: $(gh issue list --limit 3 --json number,title | jq -r '.[] | \"#\(.number) \(.title)\"' | tr '\n' '; ')"
}
EOF

When multiple IDE extensions (or a mix of extensions and a hooks.json file) each define hooks, all hook definitions are merged rather than the last one overwriting the others. This means you can layer hooks from different sources—a project’s .github/hooks/ file, an extension you have installed, and a personal settings file—and all of them will fire for the relevant events.

Hook event names can be written in camelCase (e.g., preToolUse) or PascalCase (e.g., PreToolUse). Both are accepted, making hook configuration files compatible across Claude Code CLI, VS Code, and Claude Code without modification. Hooks also support Claude Code’s nested matcher/hooks structure alongside the standard flat format.

When hooks are defined inside a plugin, the hook scripts receive two additional environment variables automatically:

VariableDescription
CLAUDE_PROJECT_DIRThe path to the current project (working) directory
CLAUDE_PLUGIN_DATAThe path to a persistent data directory scoped to the plugin

You can also use these as template variables directly in the bash or powershell fields of your hooks.json configuration:

{
"version": 1,
"hooks": {
"sessionStart": [
{
"type": "command",
"bash": "{{plugin_data_dir}}/scripts/init.sh --project {{project_dir}}",
"timeoutSec": 10
}
]
}
}

This makes it straightforward to write plugin hooks that are portable across machines and projects without hardcoding paths.

Each hook entry supports these fields:

{
"type": "command",
"bash": "./scripts/my-check.sh",
"powershell": "./scripts/my-check.ps1",
"cwd": ".",
"timeoutSec": 10,
"env": {
"CUSTOM_VAR": "value"
}
}

type: Always "command" for shell-based hooks.

bash: The command or script to execute on Unix systems. Can be inline or reference a script file.

powershell: The command or script to execute on Windows systems. Either bash or powershell (or both) must be provided.

cwd: Working directory for the command (relative to repository root).

timeoutSec: Maximum execution time in seconds (default: 30). The hook is killed if it exceeds this limit.

env: Additional environment variables merged with the existing environment.

The README provides metadata and documentation for the Awesome Claude Code repository. While not required in your own implementation, it serves as a useful way to document them for your team.

---
name: 'Auto Format'
description: 'Automatically formats code using project formatters before commits'
tags: ['formatting', 'code-quality']
---
# Auto Format
Runs your project's configured formatter (Prettier, Black, gofmt, etc.)
automatically before the agent commits changes.
## Setup
1. Ensure your formatter is installed and configured
2. Copy the hooks.json to your `.github/hooks/` directory
3. Adjust the formatter command for your project

Auto-Approve Permissions in CI with PermissionRequest

Section titled “Auto-Approve Permissions in CI with PermissionRequest”

The PermissionRequest hook fires when the CLI shows a permission prompt to the user — for example, when the agent wants to run a shell command for the first time. Unlike preToolUse (which can block specific tool calls), PermissionRequest intercepts the permission approval UI itself, making it ideal for headless and CI environments where no one is available to click “Allow”.

When your hook script exits with code 0, the permission request is approved. Exit with a non-zero code to deny it (the user will still see the prompt).

{
"version": 1,
"hooks": {
"PermissionRequest": [
{
"type": "command",
"bash": "./scripts/ci-permission-policy.sh",
"cwd": ".",
"timeoutSec": 5
}
]
}
}

Example policy script that auto-approves all permissions when running in CI:

scripts/ci-permission-policy.sh
#!/usr/bin/env bash
# Auto-approve all permission requests in CI environments
if [ "${CI}" = "true" ]; then
exit 0 # approve
fi
exit 1 # deny (let the user decide interactively)

Security note: Use PermissionRequest hooks carefully. Blanket auto-approval in non-CI environments removes an important safety check. Scope the auto-approval logic precisely (e.g., only in CI, only for specific tools).

Handling Tool Failures with postToolUseFailure

Section titled “Handling Tool Failures with postToolUseFailure”

The postToolUseFailure hook fires when a tool call fails with an error — distinct from postToolUse, which only fires on success. Use it to log errors, send failure alerts, or implement retry logic:

{
"version": 1,
"hooks": {
"postToolUseFailure": [
{
"type": "command",
"bash": "./scripts/notify-tool-failure.sh",
"cwd": ".",
"timeoutSec": 10
}
]
}
}

The hook receives JSON input describing which tool failed and the error message. This separation lets you write targeted failure-handling logic without adding conditional checks to your postToolUse hooks.

Note: Before v1.0.15, postToolUse fired for both successful and failed tool calls. If you have existing postToolUse hooks that handle failures, migrate that logic to postToolUseFailure.

Ensure all code is formatted after the agent edits files:

{
"version": 1,
"hooks": {
"postToolUse": [
{
"type": "command",
"bash": "npx prettier --write . && git add -A",
"cwd": ".",
"timeoutSec": 30
}
]
}
}

Run ESLint after the agent finishes responding and block if there are errors:

{
"version": 1,
"hooks": {
"agentStop": [
{
"type": "command",
"bash": "npx eslint . --max-warnings 0",
"cwd": ".",
"timeoutSec": 60
}
]
}
}

If the lint command exits with a non-zero status, the action is blocked.

Block dangerous commands before they execute:

{
"version": 1,
"hooks": {
"preToolUse": [
{
"type": "command",
"bash": "./scripts/security-check.sh",
"cwd": ".",
"timeoutSec": 15
}
]
}
}

The preToolUse hook receives JSON input with details about the tool being called. Your script can inspect this input and exit with a non-zero code to deny the tool execution, or exit with zero to approve it.

Beyond approve/deny, preToolUse hooks can also modify tool arguments before they are passed to the tool, and inject additional context into the agent’s reasoning. To do this, write JSON to stdout from your hook script:

scripts/sanitize-bash-args.sh
#!/usr/bin/env bash
#
# Reads the proposed bash command from stdin, strips dangerous flags,
# and writes back the sanitized command as modifiedArgs.
INPUT=$(cat)
COMMAND=$(echo "$INPUT" | jq -r '.tool_input.command // empty')
# Strip the --no-sandbox flag if present
SAFE_COMMAND=$(echo "$COMMAND" | sed 's/--no-sandbox//g')
echo "{\"modifiedArgs\": {\"command\": \"$SAFE_COMMAND\"}, \"additionalContext\": \"Command was sanitized by security policy.\"}"

The output fields are:

FieldDescription
modifiedArgs (or updatedInput)Replacement tool arguments. These are used instead of the originals.
additionalContextText injected into the agent’s context for this turn — useful for explaining why a change was made.

This enables sophisticated patterns like normalizing file paths, enforcing naming conventions, adding required flags, or surfacing policy context—without blocking the tool entirely.

Note: Both modifiedArgs and updatedInput are accepted field names for the replacement arguments (for cross-tool compatibility).

Scan user prompts for potential security threats and log session activity:

{
"version": 1,
"hooks": {
"sessionStart": [
{
"type": "command",
"bash": ".github/hooks/governance-audit/audit-session-start.sh",
"cwd": ".",
"timeoutSec": 5
}
],
"userPromptSubmitted": [
{
"type": "command",
"bash": ".github/hooks/governance-audit/audit-prompt.sh",
"cwd": ".",
"env": {
"GOVERNANCE_LEVEL": "standard",
"BLOCK_ON_THREAT": "false"
},
"timeoutSec": 10
}
],
"sessionEnd": [
{
"type": "command",
"bash": ".github/hooks/governance-audit/audit-session-end.sh",
"cwd": ".",
"timeoutSec": 5
}
]
}
}

This pattern is useful for enterprise environments that need to audit AI interactions for compliance.

Send a Slack or Teams notification when an agent session completes:

{
"version": 1,
"hooks": {
"sessionEnd": [
{
"type": "command",
"bash": "curl -X POST \"$SLACK_WEBHOOK_URL\" -H 'Content-Type: application/json' -d '{\"text\": \"Claude Code agent session completed\"}'",
"cwd": ".",
"env": {
"SLACK_WEBHOOK_URL": "${input:slackWebhook}"
},
"timeoutSec": 5
}
]
}
}

The subagentStart hook fires when the main agent spawns a subagent (e.g., via the task tool). Use it to inject additional context—such as project conventions or security guidelines—directly into the subagent’s prompt:

{
"version": 1,
"hooks": {
"subagentStart": [
{
"type": "command",
"bash": "echo 'Follow the team coding standards in .github/instructions/ for all code changes.'",
"cwd": ".",
"timeoutSec": 5
}
]
}
}

This is especially useful in multi-agent workflows where subagents may not automatically inherit context from the parent session.

When hooks are defined inside a plugin, Claude Code CLI automatically injects two extra environment variables so scripts can locate project-specific and plugin-specific directories:

VariableDescription
CLAUDE_PROJECT_DIRAbsolute path to the working project directory
CLAUDE_PLUGIN_DATAAbsolute path to the plugin’s persistent data directory

You can also reference these paths as template variables in your hook configuration:

{
"version": 1,
"hooks": {
"postToolUse": [
{
"type": "command",
"bash": "{{plugin_data_dir}}/scripts/format.sh {{project_dir}}",
"timeoutSec": 30
}
]
}
}

This is useful for plugins that bundle scripts or data files alongside their hooks, since {{plugin_data_dir}} always points to the correct installed location regardless of where the plugin is installed.

For complex logic, use bundled scripts instead of inline bash commands:

scripts/pre-commit-check.sh
#!/usr/bin/env bash
set -euo pipefail
echo "Running pre-commit checks..."
# Format code
npx prettier --write .
# Run linter
npx eslint . --fix
# Run type checker
npx tsc --noEmit
# Stage any formatting changes
git add -A
echo "Pre-commit checks passed ✅"

Tips for hook scripts:

  • Use set -euo pipefail to fail fast on errors
  • Keep scripts focused—one responsibility per script
  • Make scripts executable: chmod +x scripts/pre-commit-check.sh
  • Test scripts manually before adding them to hooks.json
  • Use reasonable timeouts—formatting a large codebase may need 30+ seconds
  • Keep hooks fast: Hooks run synchronously, so slow hooks delay the agent. Set tight timeouts and optimize scripts.
  • Use non-zero exit codes to block: If a hook exits with a non-zero code, the triggering action is blocked. Use this for must-pass checks.
  • Bundle scripts in the hook folder: Keep related scripts alongside the hooks.json for portability.
  • Document setup requirements: If hooks depend on tools being installed (Prettier, ESLint), document this in the README.
  • Test locally first: Run hook scripts manually before relying on them in agent sessions.
  • Layer hooks, don’t overload: Use multiple hook entries for independent checks rather than one monolithic script.

Q: Where do I put hooks configuration files?

A: There are several supported locations, loaded in order of precedence:

  • Repository-level (shared with team): .github/hooks/*.json in your repository — all JSON files in this folder are loaded automatically
  • Claude/Claude Code project settings: .claude/settings.json and .claude/settings.local.json — hooks defined here are applied to the current repository without committing them to .github/
  • Global settings: settings.json or settings.local.json (user-level CLI config)
  • Legacy config: config.json (also supported)

For team-wide hooks that everyone should use, .github/hooks/ is the recommended location as it is version-controlled and shared automatically.

Q: Can hooks access the user’s prompt text?

A: Yes, for userPromptSubmitted events the prompt content is available via JSON input to the hook script. Other hooks like preToolUse and postToolUse receive context about the tool being called. See the Claude Code hooks documentation for details.

Q: What happens if a hook times out?

A: The hook is terminated and the agent continues. Set timeoutSec appropriately for your scripts.

Q: Can I have multiple hooks for the same event?

A: Yes. Hooks for the same event run in the order they appear in the array. If any hook fails (non-zero exit), subsequent hooks for that event may be skipped.

Q: Do hooks work with the Claude Code coding agent?

A: Yes. Hooks are especially valuable with the coding agent because they provide deterministic guardrails for autonomous operations. See Using the Claude Code Coding Agent for details.