claude-code/plugins/hookify/core/config_loader.py
Daisy S. Hollman 59372c0921
feat: Add hookify plugin for custom hook rules via markdown
Adds the hookify plugin to public marketplace. Enables users to create custom
hooks using simple markdown configuration files instead of editing JSON.

Key features:
- Define rules with regex patterns to warn/block operations
- Create rules from explicit instructions or conversation analysis
- Pattern-based matching for bash commands, file edits, prompts, stop events
- Enable/disable rules dynamically without editing code
- Conversation analyzer agent finds problematic behaviors

Changes from internal version:
- Removed non-functional SessionStart hook (not registered in hooks.json)
- Removed all sessionstart documentation and examples
- Fixed restart documentation to consistently state "no restart needed"
- Changed license from "Internal Anthropic use only" to "MIT License"
- Kept test blocks in core modules (useful for developers)

Plugin provides:
- 4 commands: /hookify, /hookify:list, /hookify:configure, /hookify:help
- 1 agent: conversation-analyzer
- 1 skill: writing-rules
- 4 hook types: PreToolUse, PostToolUse, Stop, UserPromptSubmit
- 4 example rules ready to use

All features functional and suitable for public use.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 03:18:43 -08:00

297 lines
9.5 KiB
Python

#!/usr/bin/env python3
"""Configuration loader for hookify plugin.
Loads and parses .claude/hookify.*.local.md files.
"""
import os
import sys
import glob
import re
from typing import List, Optional, Dict, Any
from dataclasses import dataclass, field
@dataclass
class Condition:
"""A single condition for matching."""
field: str # "command", "new_text", "old_text", "file_path", etc.
operator: str # "regex_match", "contains", "equals", etc.
pattern: str # Pattern to match
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'Condition':
"""Create Condition from dict."""
return cls(
field=data.get('field', ''),
operator=data.get('operator', 'regex_match'),
pattern=data.get('pattern', '')
)
@dataclass
class Rule:
"""A hookify rule."""
name: str
enabled: bool
event: str # "bash", "file", "stop", "all", etc.
pattern: Optional[str] = None # Simple pattern (legacy)
conditions: List[Condition] = field(default_factory=list)
action: str = "warn" # "warn" or "block" (future)
tool_matcher: Optional[str] = None # Override tool matching
message: str = "" # Message body from markdown
@classmethod
def from_dict(cls, frontmatter: Dict[str, Any], message: str) -> 'Rule':
"""Create Rule from frontmatter dict and message body."""
# Handle both simple pattern and complex conditions
conditions = []
# New style: explicit conditions list
if 'conditions' in frontmatter:
cond_list = frontmatter['conditions']
if isinstance(cond_list, list):
conditions = [Condition.from_dict(c) for c in cond_list]
# Legacy style: simple pattern field
simple_pattern = frontmatter.get('pattern')
if simple_pattern and not conditions:
# Convert simple pattern to condition
# Infer field from event
event = frontmatter.get('event', 'all')
if event == 'bash':
field = 'command'
elif event == 'file':
field = 'new_text'
else:
field = 'content'
conditions = [Condition(
field=field,
operator='regex_match',
pattern=simple_pattern
)]
return cls(
name=frontmatter.get('name', 'unnamed'),
enabled=frontmatter.get('enabled', True),
event=frontmatter.get('event', 'all'),
pattern=simple_pattern,
conditions=conditions,
action=frontmatter.get('action', 'warn'),
tool_matcher=frontmatter.get('tool_matcher'),
message=message.strip()
)
def extract_frontmatter(content: str) -> tuple[Dict[str, Any], str]:
"""Extract YAML frontmatter and message body from markdown.
Returns (frontmatter_dict, message_body).
Supports multi-line dictionary items in lists by preserving indentation.
"""
if not content.startswith('---'):
return {}, content
# Split on --- markers
parts = content.split('---', 2)
if len(parts) < 3:
return {}, content
frontmatter_text = parts[1]
message = parts[2].strip()
# Simple YAML parser that handles indented list items
frontmatter = {}
lines = frontmatter_text.split('\n')
current_key = None
current_list = []
current_dict = {}
in_list = False
in_dict_item = False
for line in lines:
# Skip empty lines and comments
stripped = line.strip()
if not stripped or stripped.startswith('#'):
continue
# Check indentation level
indent = len(line) - len(line.lstrip())
# Top-level key (no indentation or minimal)
if indent == 0 and ':' in line and not line.strip().startswith('-'):
# Save previous list/dict if any
if in_list and current_key:
if in_dict_item and current_dict:
current_list.append(current_dict)
current_dict = {}
frontmatter[current_key] = current_list
in_list = False
in_dict_item = False
current_list = []
key, value = line.split(':', 1)
key = key.strip()
value = value.strip()
if not value:
# Empty value - list or nested structure follows
current_key = key
in_list = True
current_list = []
else:
# Simple key-value pair
value = value.strip('"').strip("'")
if value.lower() == 'true':
value = True
elif value.lower() == 'false':
value = False
frontmatter[key] = value
# List item (starts with -)
elif stripped.startswith('-') and in_list:
# Save previous dict item if any
if in_dict_item and current_dict:
current_list.append(current_dict)
current_dict = {}
item_text = stripped[1:].strip()
# Check if this is an inline dict (key: value on same line)
if ':' in item_text and ',' in item_text:
# Inline comma-separated dict: "- field: command, operator: regex_match"
item_dict = {}
for part in item_text.split(','):
if ':' in part:
k, v = part.split(':', 1)
item_dict[k.strip()] = v.strip().strip('"').strip("'")
current_list.append(item_dict)
in_dict_item = False
elif ':' in item_text:
# Start of multi-line dict item: "- field: command"
in_dict_item = True
k, v = item_text.split(':', 1)
current_dict = {k.strip(): v.strip().strip('"').strip("'")}
else:
# Simple list item
current_list.append(item_text.strip('"').strip("'"))
in_dict_item = False
# Continuation of dict item (indented under list item)
elif indent > 2 and in_dict_item and ':' in line:
# This is a field of the current dict item
k, v = stripped.split(':', 1)
current_dict[k.strip()] = v.strip().strip('"').strip("'")
# Save final list/dict if any
if in_list and current_key:
if in_dict_item and current_dict:
current_list.append(current_dict)
frontmatter[current_key] = current_list
return frontmatter, message
def load_rules(event: Optional[str] = None) -> List[Rule]:
"""Load all hookify rules from .claude directory.
Args:
event: Optional event filter ("bash", "file", "stop", etc.)
Returns:
List of enabled Rule objects matching the event.
"""
rules = []
# Find all hookify.*.local.md files
pattern = os.path.join('.claude', 'hookify.*.local.md')
files = glob.glob(pattern)
for file_path in files:
try:
rule = load_rule_file(file_path)
if not rule:
continue
# Filter by event if specified
if event:
if rule.event != 'all' and rule.event != event:
continue
# Only include enabled rules
if rule.enabled:
rules.append(rule)
except (IOError, OSError, PermissionError) as e:
# File I/O errors - log and continue
print(f"Warning: Failed to read {file_path}: {e}", file=sys.stderr)
continue
except (ValueError, KeyError, AttributeError, TypeError) as e:
# Parsing errors - log and continue
print(f"Warning: Failed to parse {file_path}: {e}", file=sys.stderr)
continue
except Exception as e:
# Unexpected errors - log with type details
print(f"Warning: Unexpected error loading {file_path} ({type(e).__name__}): {e}", file=sys.stderr)
continue
return rules
def load_rule_file(file_path: str) -> Optional[Rule]:
"""Load a single rule file.
Returns:
Rule object or None if file is invalid.
"""
try:
with open(file_path, 'r') as f:
content = f.read()
frontmatter, message = extract_frontmatter(content)
if not frontmatter:
print(f"Warning: {file_path} missing YAML frontmatter (must start with ---)", file=sys.stderr)
return None
rule = Rule.from_dict(frontmatter, message)
return rule
except (IOError, OSError, PermissionError) as e:
print(f"Error: Cannot read {file_path}: {e}", file=sys.stderr)
return None
except (ValueError, KeyError, AttributeError, TypeError) as e:
print(f"Error: Malformed rule file {file_path}: {e}", file=sys.stderr)
return None
except UnicodeDecodeError as e:
print(f"Error: Invalid encoding in {file_path}: {e}", file=sys.stderr)
return None
except Exception as e:
print(f"Error: Unexpected error parsing {file_path} ({type(e).__name__}): {e}", file=sys.stderr)
return None
# For testing
if __name__ == '__main__':
import sys
# Test frontmatter parsing
test_content = """---
name: test-rule
enabled: true
event: bash
pattern: "rm -rf"
---
⚠️ Dangerous command detected!
"""
fm, msg = extract_frontmatter(test_content)
print("Frontmatter:", fm)
print("Message:", msg)
rule = Rule.from_dict(fm, msg)
print("Rule:", rule)