Production hardening: security fixes, code quality, 724 skills complete

- Fix 25 shell=True subprocess calls with list-based commands
- Fix 49 verify=False in defensive skills (env-var override)
- Add timeout to 231 HTTP/subprocess/socket calls
- Fix 6 SQL injection patterns with whitelist validation
- Replace 8 __import__() with standard imports
- Remove 701 unused imports across 442 files
- Add authorized-testing disclaimers to all offensive skills
- Complete 11 incomplete skill directories
- Expand 10 stub SKILL.md files with full content
- Fix 2 YAML parse errors in frontmatter
- Fix 5 pre-existing syntax errors
- Convert 22 hardcoded paths/ports to environment variables
- Back up 21 redundant skill pairs to .bak
- Fix 2 global declaration errors
- 724/724 skills with full folder anatomy (SKILL.md + agent.py + api-reference.md + LICENSE)
- 0 compile errors across all 724 agent.py files

skills/performing-mobile-device-forensics-with-cellebrite/scripts/agent.py

@@ -9,11 +9,12 @@ iOS and Android file system extractions.
 import sqlite3
 import json
 import sys
-import csv
-import os
+import re
 from pathlib import Path
 from datetime import datetime
 
+_SAFE_TABLE_RE = re.compile(r'^[a-zA-Z_][a-zA-Z0-9_]*$')
+
 
 class MobileForensicsAgent:
     """Parses mobile device extraction data for forensic analysis."""
@@ -147,10 +148,14 @@ class MobileForensicsAgent:
                 cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
                 tables = [row[0] for row in cursor.fetchall()]
                 for table in tables:
+                    if not _SAFE_TABLE_RE.match(table):
+                        continue
                     try:
                         cursor.execute(f"SELECT * FROM [{table}] LIMIT 1")
                         columns = [desc[0] for desc in cursor.description]
                         for col in columns:
+                            if not _SAFE_TABLE_RE.match(col):
+                                continue
                             cursor.execute(
                                 f"SELECT [{col}] FROM [{table}] WHERE [{col}] LIKE ?",
                                 [f"%{keyword}%"]