πͺ Claude Code Hooks
Extension points that let you execute automated actions at specific moments in the agent's execution flow.
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:
π 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:
Execute code before a tool is called
Execute something after a response is generated
Validate commands before execution
Register logs or metrics
Block certain actions
Send notifications
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
Ideal Use Cases
Target Audience
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