(Add System Command Line tooling) Development to Main

[noelsaw1]

Run AI-powered triage directly from the command line with Claude Code integration:

# Basic usage - auto-detect and run AI triage
wpcc ~/my-plugin --ai-triage

# Explicit Claude backend with custom timeout
wpcc ~/my-plugin --ai-triage --ai-backend claude --ai-timeout 600

# With verbose output to see progress
wpcc ~/my-plugin --ai-triage --ai-verbose

# Limit AI analysis to top 50 findings
wpcc ~/my-plugin --ai-triage --ai-max-findings 50

# Combine with other options
wpcc ~/my-plugin --format json --ai-triage --ai-verbose

New CLI Flags:

Flag	Description	Default
--ai-triage	Enable AI-powered finding analysis	Disabled
--ai-backend <name>	Backend: claude or fallback	auto (detect)
--ai-timeout <seconds>	AI analysis timeout	300
--ai-max-findings <n>	Max findings to analyze	200
--ai-verbose	Show AI triage progress	Disabled

====

• AI-powered finding analysis: New --ai-triage flag enables automatic AI analysis of scan findings using Claude Code CLI with graceful fallback to built-in Python triage
• Backend orchestration: Modular architecture supports multiple LLM backends (Claude, fallback) with extensibility for future providers (OpenAI, Ollama)
• Configurable AI options:
  • --ai-backend <name> - Specify backend (claude|fallback, default: auto-detect)
  • --ai-timeout <seconds> - AI analysis timeout (default: 300s)
  • --ai-max-findings <n> - Limit findings to analyze (default: 200)
  • --ai-verbose - Show AI triage progress
• Automatic HTML regeneration: After AI triage completes, HTML report is automatically regenerated with AI analysis included
• Graceful degradation: If Claude CLI unavailable or fails, automatically falls back to built-in ai-triage.py without interrupting scan
• JSON schema integration: AI triage results injected into JSON log with ai_triage section containing classifications, confidence levels, and recommendations