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Hooks Configuration

Overview​

Hooks are an event-driven mechanism in iFlow CLI that allows you to automatically execute custom commands when specific lifecycle events occur. By configuring Hooks, you can implement automated processing before and after tool calls, environment setup enhancement, cleanup operations when sessions stop, and more.

Key Features​

  • Tool Call Interception: Run custom logic before and after tool execution
  • Environment Enhancement: Dynamically set environment information when sessions begin
  • Lifecycle Management: Execute cleanup operations when sessions or subagents stop
  • Flexible Configuration: Support hierarchical configuration at user and project levels
  • Security Control: Can block tool execution or modify tool behavior

Hook Types​

iFlow CLI supports the following 9 Hook types:

1. PreToolUse Hook​

Trigger Time: Before tool execution Use Cases:

  • Validate tool parameters
  • Set execution environment
  • Log tool calls
  • Block unsafe operations

Example Configuration:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Edit",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'File edit detected'"
          }
        ]
      }
    ]
  }
}

2. PostToolUse Hook​

Trigger Time: After tool execution Use Cases:

  • Process tool execution results
  • Clean up temporary files
  • Send notifications
  • Record execution statistics

Example Configuration:

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "write_file",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'File operation completed'"
          }
        ]
      }
    ]
  }
}

3. SetUpEnvironment Hook​

Trigger Time: At session start, during environment information setup phase Use Cases:

  • Dynamically generate project information
  • Set runtime environment variables
  • Enhance AI context information
  • Load project-specific configurations

Example Configuration:

{
  "hooks": {
    "SetUpEnvironment": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Session environment initialized'"
          }
        ]
      }
    ]
  }
}

4. Stop Hook​

Trigger Time: When the main session ends Use Cases:

  • Clean up session resources
  • Save session information
  • Send session summary
  • Execute cleanup scripts

Example Configuration:

{
  "hooks": {
    "Stop": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Main session ended'"
          }
        ]
      }
    ]
  }
}

5. SubagentStop Hook​

Trigger Time: When subagent session ends Use Cases:

  • Clean up subagent resources
  • Record subtask execution status
  • Merge subtask results
  • Execute post-subtask processing

Example Configuration:

{
  "hooks": {
    "SubagentStop": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Subagent task completed'"
          }
        ]
      }
    ]
  }
}

6. SessionStart Hook​

Trigger Time: When session starts (startup, resume, clear, compress) Use Cases:

  • Initialize session environment
  • Set up logging
  • Send session start notifications
  • Execute startup preprocessing

Supports matcher: Yes - can match based on session start source (startup, resume, clear, compress)

Example Configuration:

{
  "hooks": {
    "SessionStart": [
      {
        "matcher": "startup",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'New session started'"
          }
        ]
      }
    ]
  }
}

7. SessionEnd Hook​

Trigger Time: When session ends normally Use Cases:

  • Generate session summary reports
  • Backup session data
  • Send session end notifications
  • Execute session cleanup operations

Example Configuration:

{
  "hooks": {
    "SessionEnd": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "python3 ~/.iflow/hooks/session_report.py",
            "timeout": 30
          }
        ]
      }
    ]
  }
}

8. UserPromptSubmit Hook​

Trigger Time: Before user submits prompt, before iFlow processing Use Cases:

  • Content filtering and review
  • Prompt preprocessing and enhancement
  • Block inappropriate user input
  • Log user interaction

Supports matcher: Yes - can match based on prompt content Special behavior: Can block prompt submission (return non-zero exit code)

Example Configuration:

{
  "hooks": {
    "UserPromptSubmit": [
      {
        "matcher": ".*sensitive.*",
        "hooks": [
          {
            "type": "command",
            "command": "python3 ~/.iflow/hooks/content_filter.py",
            "timeout": 10
          }
        ]
      }
    ]
  }
}

9. Notification Hook​

Trigger Time: When iFlow sends notifications to user Use Cases:

  • Notification content logging
  • Third-party system integration
  • Notification format conversion
  • Custom notification handling

Supports matcher: Yes - can match based on notification message content Special behavior: Exit code 2 doesn't block notification, only displays stderr to user

Example Configuration:

{
  "hooks": {
    "Notification": [
      {
        "matcher": ".*permission.*",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Permission notification logged' >> ~/.iflow/permission.log"
          }
        ]
      }
    ]
  }
}

Configuration Methods​

1. Configuration Hierarchy​

Hooks configuration follows iFlow CLI's hierarchical configuration system:

  • User Configuration: ~/.iflow/settings.json
  • Project Configuration: ./.iflow/settings.json
  • System Configuration: System-level configuration files

Higher-level configurations merge with lower-level configurations, and project configurations supplement user configurations.

2. Configuration Format​

Add the hooks configuration item in the settings.json file:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "tool_pattern",
        "hooks": [
          {
            "type": "command",
            "command": "your_command",
            "timeout": 30
          }
        ]
      }
    ],
    "PostToolUse": [
      {
        "matcher": "another_pattern",
        "hooks": [
          {
            "type": "command",
            "command": "cleanup_command"
          }
        ]
      }
    ],
    "SetUpEnvironment": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "python ~/.iflow/hooks/env_enhancer.py",
            "timeout": 30
          }
        ]
      }
    ],
    "Stop": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Session ended'"
          }
        ]
      }
    ],
    "SubagentStop": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "cleanup_subagent.sh"
          }
        ]
      }
    ],
    "SessionStart": [
      {
        "matcher": "startup",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Session initialized'"
          }
        ]
      }
    ],
    "SessionEnd": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "python ~/.iflow/hooks/session_summary.py"
          }
        ]
      }
    ],
    "UserPromptSubmit": [
      {
        "matcher": ".*sensitive.*",
        "hooks": [
          {
            "type": "command",
            "command": "python ~/.iflow/hooks/content_filter.py"
          }
        ]
      }
    ],
    "Notification": [
      {
        "matcher": ".*permission.*",
        "hooks": [
          {
            "type": "command",
            "command": "logger 'iFlow permission request'"
          }
        ]
      }
    ]
  }
}

3. Hook Configuration Field Description​

Each Hook type contains a configuration array, with each configuration item including:

Common Fields​

  • hooks (required): Hook command array, each command includes:
    • type: Command type, currently only supports "command"
    • command: Command string to execute
    • timeout: Timeout in seconds, optional, no timeout by default
  • matcher: Tool matching pattern, used to specify which tools should trigger the Hook
Matching Patterns​
Matching PatternSyntax ExampleDescription
Wildcard Match"*" or ""Match all tools (default behavior)
Exact Match"Edit"Only match tools or aliases named "Edit"
Regular Expression`"Edit\MultiEdit\
Pattern Match".*_file"Match tool names ending with "_file"
MCP Tool Match"mcp__.*"Match all MCP tools
MCP Server Match"mcp__github__.*"Match all tools from a specific MCP server
Matching Rules​
  • Case Sensitive: matcher matching is case-sensitive
  • Regular Expression: Automatically recognized as regex when containing |\\^$.*+?()[]{} characters
  • Tool Aliases: Both tool names and aliases are checked during matching
  • Error Handling: Invalid regex patterns fall back to exact match mode
Hook Type and matcher Support​
Hook TypeSupports matcherDescription
PreToolUse✅Can specify matching specific tools
PostToolUse✅Can specify matching specific tools
SetUpEnvironment❌Always executes, doesn't support matcher
Stop❌Always executes, doesn't support matcher
SubagentStop❌Always executes, doesn't support matcher
SessionStart✅Can match based on session start source (startup, resume, clear, compress)
SessionEnd❌Always executes, doesn't support matcher
UserPromptSubmit✅Can match based on user prompt content
Notification✅Can match based on notification message content
Common Tool Name Reference​
Tool CategoryActual Tool NameCommon Aliases
File EditingreplaceEdit, edit, Write, write
Batch Editingmulti_editMultiEdit, multiEdit
File Writingwrite_filewrite, create, save
File Readingread_fileread
Shell Executionrun_shell_commandshell, Shell, bash, Bash
File Searchsearch_file_contentgrep, search
Directory Listlist_directoryls, list

Special Constraints​

  • SetUpEnvironment Hook: Does not support matcher field, applies to all sessions
  • Stop/SubagentStop/SessionEnd Hook: Does not support matcher field, executes at the end of corresponding lifecycle
  • UserPromptSubmit Hook: Can block prompt submission by returning non-zero exit code
  • Notification Hook: Exit code 2 has special meaning - doesn't block notification display, only shows stderr content to user

Complex Configuration Examples​

1. File Protection Hook​

Python Script (file_protection.py):

import json, sys
data = json.load(sys.stdin)
file_path = data.get('tool_input', {}).get('file_path', '')
sensitive_files = ['.env', 'package-lock.json', '.git/']
sys.exit(2 if any(p in file_path for p in sensitive_files) else 0)

Feature Description: Perform security checks before file editing operations to block modifications to sensitive files.

Prerequisites:

  • System needs python3 installed
  • Ensure Python can execute normally and access standard input

Specific Functions:

  • Monitor all file editing operations (Edit, MultiEdit, Write tools)
  • Check if target file path contains sensitive files (.env, package-lock.json, .git/ directory)
  • If sensitive files are detected, return exit code 2 to block tool execution
  • Provide security protection for file operations, avoiding accidental modification of important configuration files

Hook Configuration:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Edit|MultiEdit|Write",
        "hooks": [
          {
            "type": "command",
            "command": "python3 file_protection.py",
            "timeout": 10
          }
        ]
      }
    ]
  }
}

2. TypeScript Code Formatting​

Feature Description: Automatically format TypeScript files after file editing operations to ensure code style consistency.

Prerequisites:

  • System needs jq tool installed (for JSON data processing)
  • Need prettier code formatter installed (npm install -g prettier or local project installation)
  • Ensure project has prettier configuration file or uses default configuration

Specific Functions:

  • Monitor file editing and writing operations (Edit, MultiEdit, write_file tools)
  • Extract file path information from tool parameters
  • Check if file is a TypeScript file (.ts extension)
  • Automatically execute prettier formatting on qualifying files
  • Improve code quality and team collaboration efficiency
{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Edit|MultiEdit|Write",
        "hooks": [
          {
            "type": "command", 
            "command": "bash -c 'path=$(jq -r \".tool_input.file_path\"); [[ $path == *.ts ]] && npx prettier --write \"$path\"'",
            "timeout": 30
          }
        ]
      }
    ]
  }
}

3. Session Management and Performance Monitoring​

Python Script (session_summary.py):

import os, datetime, subprocess
session_id = os.environ.get('IFLOW_SESSION_ID', 'unknown')
timestamp = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
summary_dir = os.path.expanduser('~/.iflow/session-summaries')
os.makedirs(summary_dir, exist_ok=True)
try:
    git_log = subprocess.check_output(['git', 'log', '--oneline', '-3']).decode().strip()
except:
    git_log = 'No git repository'
summary_content = f'# Session Summary\\n\\n**ID:** {session_id}\\n**Time:** {timestamp}\\n\\n**Git Log:**\\n```\\n{git_log}\\n```'
with open(f'{summary_dir}/session-{session_id}.md', 'w') as f:
    f.write(summary_content)

Feature Description: Automatically generate session summaries when sessions end, record performance metrics when subagents end, implementing complete session lifecycle management.

Prerequisites:

  • System needs python3 installed
  • Need git command (for getting repository activity information)
  • Ensure sufficient disk space for storing session summaries and performance data

Specific Functions:

  • Session Summary Generation: Generate Markdown summary files containing session ID, end time, working directory, and recent Git activity when main session ends
  • Performance Metrics Collection: Record subagent runtime, type, success status and other performance data to JSONL format files
  • Automatic Directory Creation: Automatically create ~/.iflow/session-summaries and ~/.iflow/metrics directories
  • Environment Variable Support: Utilize environment variables like IFLOW_SESSION_ID, IFLOW_AGENT_TYPE, IFLOW_SUBAGENT_START_TIME
  • Error Tolerance: Provide default values when Git commands fail, ensuring summary generation is not interrupted

Hook Configuration:

{
  "hooks": {
    "Stop": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "python3 session_summary.py",
            "timeout": 15
          }
        ]
      }
    ]
  }
}

4. User Input Content Filtering​

Python Script (content_filter.py):

import json, sys, re
data = json.load(sys.stdin)
prompt = data.get('prompt', '')
# Check for sensitive information
sensitive_patterns = [
    r'password\s*[=:]\s*\S+',
    r'api[_-]?key\s*[=:]\s*\S+',
    r'secret\s*[=:]\s*\S+',
    r'\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{4}\b'  # Credit card numbers
]
for pattern in sensitive_patterns:
    if re.search(pattern, prompt, re.IGNORECASE):
        print(f"Sensitive information detected, please remove and resubmit", file=sys.stderr)
        sys.exit(1)  # Block prompt submission
print("Content review passed")

Feature Description: Filter content before user submits prompts, detect and block input containing sensitive information.

Prerequisites:

  • System needs python3 installed
  • Ensure Python's regex module is available

Specific Functions:

  • Monitor all user submitted prompt content
  • Use regex to detect passwords, API keys, credit card numbers and other sensitive information
  • If sensitive content is detected, return exit code 1 to block prompt submission
  • Provide clear error messages to guide user input modification
  • Protect user privacy and data security

Hook Configuration:

{
  "hooks": {
    "UserPromptSubmit": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "python3 content_filter.py",
            "timeout": 5
          }
        ]
      }
    ]
  }
}

5. Notification Handling and Integration​

Bash Script (notification_handler.sh):

#!/bin/bash
# Read notification information from stdin
notification_data=$(cat)
message=$(echo "$notification_data" | jq -r '.message // "Unknown message"')
timestamp=$(date '+%Y-%m-%d %H:%M:%S')

# Log to file
echo "[$timestamp] iFlow Notification: $message" >> ~/.iflow/notifications.log

# If permission request, send to Slack
if [[ "$message" == *"permission"* ]]; then
    curl -X POST -H 'Content-type: application/json' \
         --data "{\"text\":\"iFlow Permission Request: $message\"}" \
         "$SLACK_WEBHOOK_URL" 2>/dev/null || true
fi

# If error notification, send email alert
if [[ "$message" == *"error"* ]] || [[ "$message" == *"failed"* ]]; then
    echo "iFlow Error: $message" | mail -s "iFlow Alert" admin@company.com 2>/dev/null || true
fi

Feature Description: Handle iFlow notification messages, implement logging and third-party system integration.

Prerequisites:

  • System needs jq, curl, mail commands installed
  • Configure SLACK_WEBHOOK_URL environment variable
  • Configure mail system

Specific Functions:

  • Capture all iFlow notification messages
  • Record notifications to local log files
  • Automatically send permission request notifications to Slack channels
  • Send email alerts for error notifications
  • Support multiple notification channel integration

Hook Configuration:

{
  "hooks": {
    "Notification": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "bash ~/.iflow/hooks/notification_handler.sh",
            "timeout": 10
          }
        ]
      }
    ]
  }
}

6. Git Status Environment Enhancer​

Python Script (git_status.py):

import subprocess, os
try:
    branch = subprocess.check_output(['git', 'rev-parse', '--abbrev-ref', 'HEAD']).decode().strip()
    status = subprocess.check_output(['git', 'status', '--porcelain']).decode().strip()
    commit = subprocess.check_output(['git', 'log', '-1', '--oneline']).decode().strip()
    print(f'## Git Information\\n\\n**Branch:** {branch}\\n**Status:** {"Clean" if not status else "Has Changes"}\\n**Latest Commit:** {commit}')
except:
    print('## Git Information\\n\\nNo Git repository found')

Feature Description: Automatically obtain and display detailed status information of the current Git repository when sessions start, providing project background context for AI.

Prerequisites:

  • System needs python3 installed
  • Need git command and a valid Git repository
  • Ensure current working directory is within a Git repository
  • Need read permissions for the repository

Specific Functions:

  • Branch Information Retrieval: Automatically identify and display current Git branch name
  • Working Directory Status: Check and display uncommitted changes in working directory (modified, added, deleted files)
  • Latest Commit Information: Retrieve and display brief information of the most recent commit (hash and commit message)
  • Formatted Output: Format Git status information into clear Markdown format for AI to understand project current state
  • Status Determination: Automatically determine if working directory is clean, displaying different status information accordingly
  • Enhanced AI Context: Help AI better understand project version control status and make more appropriate decisions

Hook Configuration:

{
  "hooks": {
    "SetUpEnvironment": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "python3 git_status.py",
            "timeout": 10
          }
        ]
      }
    ]
  }
}

Hook Execution Mechanism​

1. Execution Flow​

  1. Event Trigger: When corresponding lifecycle events occur
  2. Match Check: Check Hook configuration matching conditions (such as tool names)
  3. Parallel Execution: Hook commands that meet conditions execute in parallel
  4. Result Processing: Collect execution results and output
  5. Error Handling: Handle execution failure cases

2. Execution Environment​

Hook commands execute in the following environment:

  • Working Directory: Current iFlow CLI working directory

  • Environment Variables: Inherit iFlow CLI environment variables

  • Common Special Variables:

    • IFLOW_SESSION_ID: Current session ID (all Hooks)
    • IFLOW_TRANSCRIPT_PATH: Session transcript file path (all Hooks)
    • IFLOW_CWD: Current working directory (all Hooks)
    • IFLOW_HOOK_EVENT_NAME: Triggered Hook event name (all Hooks)

  • Tool-related Hook Special Variables:

    • IFLOW_TOOL_NAME: Current tool name (PreToolUse/PostToolUse Hook)
    • IFLOW_TOOL_ARGS: Tool parameters as JSON string (PreToolUse/PostToolUse Hook)
    • IFLOW_TOOL_ALIASES: Tool aliases array as JSON string (PreToolUse/PostToolUse Hook)

  • Session-related Hook Special Variables:

    • IFLOW_SESSION_SOURCE: Session start source like startup, resume, clear, compress (SessionStart Hook)

  • User Input Hook Special Variables:

    • IFLOW_USER_PROMPT: User submitted original prompt content (UserPromptSubmit Hook)

  • Notification Hook Special Variables:

    • IFLOW_NOTIFICATION_MESSAGE: Notification message content (Notification Hook)

3. Return Value Processing​

  • Blockable Execution Hooks:

    • PreToolUse Hook: Non-zero return code blocks tool execution, displays error message
    • UserPromptSubmit Hook: Non-zero return code blocks prompt submission, displays error message

  • Special Processing Hooks:

    • Notification Hook:
      • Return code 0: Normal processing, display standard output
      • Return code 2: Don't block notification display, only show stderr content to user
      • Other return codes: Display warning message, but don't affect notification flow

  • Other Hooks:

    • Return code doesn't affect main flow
    • Error output displays warning messages
    • Standard output is displayed to user

4. Timeout Handling​

  • Hooks configured with timeout will terminate after specified time
  • Timeout won't interrupt main flow, but will log warnings
  • Hooks without timeout configuration use system default timeout

Advanced Features​

1. Conditional Execution​

Add conditional logic in Hook scripts:

#!/bin/bash
# Only execute in Git repositories
if [ -d ".git" ]; then
    echo "Executing special operations in Git repository"
    # Your logic
fi

2. Parameter Passing​

Hooks can receive relevant parameters through environment variables:

import sys
import json

# Read JSON data from standard input
data = json.load(sys.stdin)

# Common fields (available for all Hooks)
session_id = data.get('session_id', '')
hook_event = data.get('hook_event_name', '')
cwd = data.get('cwd', '')

print(f"Session ID: {session_id}")
print(f"Hook Event: {hook_event}")
print(f"Working Directory: {cwd}")

# Tool-related Hook special fields
if hook_event in ['PreToolUse', 'PostToolUse']:
    tool_args = data.get('tool_input', {})
    tool_name = data.get('tool_name', '')
    print(f"Tool Name: {tool_name}")
    print(f"Tool Parameters: {tool_args}")

# User Input Hook special fields
if hook_event == 'UserPromptSubmit':
    user_prompt = data.get('user_prompt', '')  # Note: Original JSON example doesn't have this field, need to confirm actual structure
    print(f"User Prompt: {user_prompt}")

# Notification Hook special fields
if hook_event == 'Notification':
    notification_message = data.get('notification_message', '')  # Similarly, need to confirm actual field name
    print(f"Notification Message: {notification_message}")

# Session Start Hook special fields
if hook_event == 'SessionStart':
    session_source = data.get('session_source', '')  # Need to confirm if this field actually exists
    print(f"Session Start Source: {session_source}")


tool_response_result = data.get('tool_response', {}).get('result', {}).get('llmContent', '')
print(f"Model return result: {tool_response_result}")

3. Output Processing​

Hook standard output is displayed to users:

#!/bin/bash
echo "INFO: Starting preprocessing"
echo "WARNING: Potential risk detected"
echo "ERROR: Operation blocked" >&2  # Error output
exit 1  # Block tool execution (PreToolUse Hook only)

4. Configuration Validation​

iFlow CLI validates Hook configuration at startup:

  • Check JSON format correctness
  • Verify required fields exist
  • Check field types and value ranges
  • Validate Hook type-specific constraints

Troubleshooting​

1. Hook Not Executing​

Possible Causes:

  • Configuration file format error
  • Incorrect matching pattern
  • Hook script path error
  • Insufficient permissions

Troubleshooting Steps:

  1. Check settings.json format
  2. Verify Hook script exists and is executable
  3. Check iFlow CLI error logs
  4. Use simple test Hook to verify configuration

2. Hook Execution Failure​

Possible Causes:

  • Script syntax error
  • Missing dependency programs
  • Insufficient permissions
  • Timeout

Troubleshooting Steps:

  1. Manually execute Hook script for testing
  2. Check if script dependencies are installed
  3. Add debug output to Hook script
  4. Adjust timeout settings

3. Performance Issues​

Optimization Suggestions:

  • Reduce unnecessary Hooks
  • Optimize Hook script performance
  • Set reasonable timeout values
  • Avoid blocking operations

4. Debugging Tips​

Enable Verbose Logging​

export IFLOW_DEBUG=1
iflow

Create Test Hook​

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "*",
        "hooks": [
          {
            "type": "command",
            "command": "echo \"Hook triggered: $IFLOW_TOOL_NAME\""
          }
        ]
      }
    ]
  }
}

Output Debug Information​

#!/bin/bash
echo "DEBUG: Hook starting execution"
echo "DEBUG: Tool name: $IFLOW_TOOL_NAME"
echo "DEBUG: Tool parameters: $IFLOW_TOOL_ARGS"
echo "DEBUG: Current directory: $(pwd)"
echo "DEBUG: Hook execution completed"

Security Considerations​

1. Script Security​

  • Input Validation: Always validate data obtained from environment variables
  • Path Checking: Avoid path injection attacks
  • Minimal Permissions: Hook scripts use minimal necessary permissions

2. Execution Environment​

  • Sandboxing: Consider executing Hooks in restricted environments
  • Resource Limits: Set reasonable timeout and resource limits
  • Error Isolation: Hook errors should not affect main functionality

3. Configuration Security​

  • Configuration Validation: Validate Hook configuration at startup
  • Path Restrictions: Limit Hook script storage paths
  • Permission Checking: Check configuration file and script permissions

Best Practices​

1. Configuration Management​

  • Version Control: Include project-level Hook configurations in version control
  • Documentation: Add clear descriptions for each Hook
  • Modularization: Organize related Hook logic into independent scripts

2. Script Writing​

  • Error Handling: Add comprehensive error handling logic
  • Logging: Record key information about Hook execution
  • Performance Optimization: Avoid unnecessary repetitive operations

3. Testing and Validation​

  • Unit Testing: Write tests for Hook scripts
  • Integration Testing: Test Hook integration with iFlow CLI
  • Regression Testing: Ensure Hook changes don't affect existing functionality

4. Monitoring and Maintenance​

  • Execution Monitoring: Monitor Hook execution status and performance
  • Regular Review: Regularly review and update Hook configurations
  • Documentation Maintenance: Keep Hook documentation up to date

By properly configuring and using Hooks, you can significantly extend iFlow CLI functionality and implement more intelligent and automated development workflows. The Hook system provides powerful extension capabilities, allowing you to customize AI assistant behavior according to specific needs.