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Wolfkit v1.3.2

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@CLewisMessina CLewisMessina released this 14 Jul 23:35
· 11 commits to main since this release
v1.3.2
b14fb00

🐺 Wolfkit v1.3.2 - Security Analysis Revolution

Try, Test, Trust. The comprehensive AI-powered development toolkit with enterprise-grade security analysis.

🌟 What's New in v1.3.2

🛡️ NEW: Security Analysis

  • OWASP Top 10 vulnerability scanning with professional reporting
  • Framework detection for FastAPI, Flask, Django, Express, Spring
  • Risk scoring (0-100) with executive summaries and technical details
  • Privacy-first approach: Code analysis stays local, only insights sent for reporting
  • Export capabilities: Markdown, HTML, and JSON security reports

🤖 AI Code Review

  • Pre-flight analysis of LLM-generated code for syntax, logic, and import issues
  • Multi-file batch processing with professional markdown reports
  • Budget-friendly with gpt-4o-mini (~$0.002-0.005 per file)

📄 Document Clustering & Merge

  • Semantic AI-powered document organization for PDF, Word, Text, Markdown files
  • Visual cluster cards with similarity scoring and merge previews
  • Intelligent filename suggestions and one-click merging
  • Cost-effective at ~$0.01-0.05 per document batch

🚀 Enhanced File Testing

  • Safe staging with automatic backups and one-click rollback
  • Python app and static web page launch support
  • Virtual environment auto-detection
  • Batch accept/revert operations

🎯 Complete Workflow: Analyze → Organize → Secure → Test → Trust

  1. 🤖 Code Review: Analyze AI-generated code for issues before deployment
  2. 📄 Document Merge: Organize and cluster related project documentation
  3. 🛡️ Security Analysis: Scan for vulnerabilities with professional insights
  4. 🚀 File Testing: Stage secure, reviewed code with automatic backups
  5. ✅ Trust: Deploy with confidence or revert instantly

🏗️ Architecture Highlights

  • 85% code reduction in main orchestrator (v1.3.1 refactoring)
  • Clean modular design with single-responsibility components
  • Type safety with comprehensive type hints throughout
  • Privacy-first AI integration - code stays local, only structured summaries sent
  • Professional reporting with executive summaries and technical details

💰 Transparent Pricing

Feature API Required Typical Cost
🤖 Code Review ✅ OpenAI ~$0.002-0.005/file
📄 Document Merge ✅ OpenAI ~$0.01-0.05/batch
🛡️ Security Analysis ✅ OpenAI ~$0.01-0.03/scan
🚀 File Testing ❌ None FREE

Monthly budget for active developer: ~$10-15

🚀 Quick Start

# 1. Clone and setup
git clone https://github.com/your-username/wolfkit.git
cd wolfkit
python -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows

# 2. Install dependencies
pip install -r requirements.txt

# 3. Setup AI features (optional - only for Code Review, Document Merge, Security Analysis)
cp .env.example .env
# Add your OpenAI API key to .env

# 4. Launch
python main.py

▶️ Windows Users: Use the included launch-wolfkit.bat for desktop shortcut

🛡️ Safety & Privacy

  • ✅ Local code analysis - your source code never leaves your machine
  • ✅ Automatic backups - every file change backed up until you accept
  • ✅ Reversible operations - all merges and staging can be undone
  • ✅ AI privacy - only structured summaries sent to OpenAI for insights
  • ✅ No data retention - OpenAI doesn't store your content per API policy

🎯 Perfect For

Developers:

  • Safe testing of ChatGPT/Claude-generated code
  • Pre-deployment security vulnerability scanning
  • Organizing scattered technical documentation
  • Catching syntax and logic errors before staging

Security Teams:

  • Regular vulnerability assessments without external tools
  • Professional compliance reports for management
  • Framework-specific security audits
  • Privacy-focused scanning (all local analysis)

Content Creators:

  • Merging multiple document drafts and research notes
  • Organizing interview transcripts by topic
  • Cleaning up duplicate files and assets

📄 What's Included

  • Complete desktop application with intuitive tabbed interface
  • Built-in documentation - no external docs needed
  • Professional reporting - markdown reports for all analysis
  • Cross-platform support - Windows, macOS, Linux
  • MIT License - use freely in commercial and personal projects

🧙‍♂️ Part of the Wolflow Ecosystem

💬 Built By

A developer who got tired of:

  • ✋ Breaking working code with AI-generated "improvements"
  • 🔓 Deploying vulnerabilities hidden in complex codebases
  • 📄 Managing chaos across multiple document versions
  • 🐛 Debugging issues that could be caught before staging

If you build with LLMs, care about security, and want to deploy with confidence...

Wolfkit is for you. 🐺

🚀 Try It Today

git clone https://github.com/your-username/wolfkit.git
cd wolfkit && pip install -r requirements.txt && python main.py

Try it. Test it. Secure it. Trust it. 🐺

"The best code review is the one that happens before you deploy. The best security analysis is the one that happens before you stage."

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