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Hooks in Claude Code

Extension Points for Agent Governance & Automation

πŸͺ Claude Code Hooks

Extension points that let you execute automated actions at specific moments in the agent's execution flow.

Official Docs β†’

1. What Are Hooks?

In Claude Code, hooks are extension points that allow you to execute automated actions at specific moments in the agent's execution flow. In simple terms:

πŸ” Hooks are triggers that execute code before, during, or after a Claude Code action.

They serve to intercept events and add custom behaviors β€” such as validations, logs, security, metrics, or external integrations.

2. Core Capabilities

In the context of Claude Code (Anthropic CLI / agent tooling), you can use hooks to:

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Execute code before a tool is called

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Execute something after a response is generated

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Validate commands before execution

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Register logs or metrics

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Block certain actions

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Send notifications

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Apply security policies

3. Where Are Hooks Used?

Hooks are commonly used in environments such as:

Agent Automation

Autonomous agent workflows

Custom CLIs

Customized command-line interfaces

Internal LLM Tools

Internal tools powered by LLMs

DevOps Flows

DevOps pipelines with agents

They are extremely useful when you want governance and control over what the agent can do β€” which is critical in enterprise contexts such as Celonis, AWS, and corporate bots.

4. Conceptual Example

Imagine that Claude Code is about to execute a dangerous command:

rm -rf /

You can define a hook like this:

def before_tool_execution(tool_name, args):
    if "rm -rf" in args:
        raise Exception("Command blocked by security policy.")

This hook intercepts before execution and blocks the dangerous command, enforcing a security policy.

5. Common Hook Types

While the exact implementation may vary, conceptually you will find these types:

Before Hook

Executes before the action. Used for validation, input transformation, or blocking.

After Hook

Executes after the action. Used for logging, notifications, and post-processing.

On Error Hook

Executes when an error occurs. Used for error handling, alerting, and fallback logic.

Tool Execution Hook

Intercepts tool calls. Used for auditing, rate limiting, or modifying tool inputs/outputs.

Message Hook

Modifies model input or output. Used for prompt injection defense, content filtering, or response formatting.

6. Why Are Hooks Important for Enterprise?

For teams working with corporate chatbots, process mining (Celonis), data governance, automation, and AWS, hooks enable:

Access Policies

Enforce role-based access controls and permission boundaries at the agent level.

Action Logging

Log every bot action for compliance, monitoring and debugging purposes.

Audit Trail

Create a complete, traceable audit trail of all agent decisions and actions.

Block Dangerous Queries

Prevent execution of harmful, unauthorized, or risky commands automatically.

Trigger Notifications

Send emails (e.g. via Outlook) or alerts after certain critical actions complete.

Cost Control

Monitor and limit API calls that generate costs, applying budgets and rate limits.

7. Hooks vs Middleware

Aspect Middleware Hooks
Scope HTTP request/response pipeline Internal agent events
Example Express.js middleware Claude Code before/after hooks
Orientation Request-oriented (web layer) Event-oriented (agent layer)
Execution Model Chain (one after another) Event-driven (specific triggers)
Typical Use Auth, CORS, body parsing Security policies, auditing, blocking

Hooks are similar to middleware (like in Express.js), but more oriented towards the agent's internal events rather than HTTP request/response cycles.

8. Hook Execution Flow

πŸ“₯ User Input / Query
πŸͺ Before Hook (Validate / Block)
πŸ€– Agent Execution (Tool Call)
πŸͺ After Hook (Log / Notify)
πŸ“€ Response to User
⚠️ On Error Hook (Handle / Alert) β€” triggers if any step fails

Ideal Use Cases

Enterprise Agent Governance Security Policy Enforcement Compliance & Audit Trails Cost Monitoring & Control Custom Integrations

Target Audience

Platform Engineers AI Architects DevOps & SRE Teams Security & Governance Teams Enterprise Developers

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