🛡️ Kavach AI (कवच)

Autonomous High-Precision Code Armor & 1-Click Surgical Patcher

Kavach AI (कवच) is an autonomous, high-speed static security inspector and surgical code repair engine. Operating like an impenetrable armor across your GitHub Pull Requests (CI/CD), local CLI, VS Code editor, and Web Console, it eliminates critical security hazards (CWE-89 SQLi, CWE-798 Secret Leaks, CWE-120 Buffer Overflows) and generates 1-click ready-to-merge patches with zero-regression self-healing verification.

⚡ Core Philosophy: Zero-Noise Precision

Most static code scanners overwhelm developers with hundreds of stylistic warnings (missing docstrings, trailing whitespace). Developers end up ignoring them.

AutoPatch operates on a strict zero-noise policy:

1. Ignores Noise: Lockfiles (package-lock.json, poetry.lock), minified bundles, images, and formatting diffs are discarded automatically.
2. Flags Real Hazards Only:
   • 🛡️ Hardcoded Credentials & Tokens (CWE-798): AWS keys, GitHub PATs, OpenAI/Stripe secret keys in Python and JavaScript.
   • 🛡️ Raw SQL Injections (CWE-89): Raw string interpolation inside queries.
   • 🛡️ Arbitrary OS Command Injection (CWE-78): Untrusted shell inputs via os.system / child_process.exec.
   • 🔴 Fatal Runtime Exceptions (CWE-369, CWE-95): ZeroDivisionError crashes, dynamic eval() execution.
   • ⚡ Resource Descriptors Leaks (CWE-775): Unmanaged open() handles missing with context managers.
3. Generates Instant Patches: AutoPatch outputs native GitHub markdown ```suggestion blocks that team leads can merge in 1 click right inside the GitHub UI.

🤖 GitHub Action Setup (Automated PR Reviews)

Add AutoPatch to any GitHub repository in 30 seconds by creating .github/workflows/autopatch.yml:

name: AutoPatch Security Review

on:
  pull_request:
    branches: [ main, master, dev ]
  push:
    branches: [ main, master ]

permissions:
  contents: read
  pull-requests: write
  issues: write

jobs:
  autopatch-ci:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout Code
        uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Set up Python 3.11
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'

      - name: AutoPatch PR Reviewer
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        run: |
          python ci_bot.py --fail-on CRITICAL

What Happens When a PR is Opened:

1. Inspects Changeset in < 0.05s without external network latency.
2. Posts an Official PR Review Comment with exact line numbers and 1-click GitHub commit suggestions.
3. Populates the GitHub Step Summary with executive metrics and CWE classifications.
4. Fails the CI status check to block merging if Critical vulnerabilities are detected.

🏗️ System Architecture

                  ┌───────────────────────────────┐
                  │   Incoming Git Pull Request   │
                  │   (git diff main...feature)   │
                  └───────────────┬───────────────┘
                                  │
                                  ▼
                  ┌───────────────────────────────┐
                  │    DiffParser (Zero-Noise)    │
                  │   - Filters lockfiles/assets  │
                  │   - Extracts modified hunks   │
                  └───────────────┬───────────────┘
                                  │
                                  ▼
                  ┌───────────────────────────────┐
                  │       Surgical Analyzer       │
                  │   - Python & JS/TS Parsers    │
                  │   - CWE-798 Credential Leaks  │
                  │   - CWE-89 SQL Injections     │
                  │   - CWE-78 Command Injections │
                  │   - CWE-775 Descriptor Leaks  │
                  └───────────────┬───────────────┘
                                  │
                                  ▼
                  ┌───────────────────────────────┐
                  │     1-Click Patch Engine      │
                  │   - GitHub suggestion blocks  │
                  │   - PR Commenter Bot (CI/CD)  │
                  │   - Standalone .patch export  │
                  └───────────────────────────────┘

🚀 Quickstart & Usage

1. Installation

Clone the repository and install requirements:

git clone https://github.com/rajrajak99/autopatch-ai.git
cd autopatch-ai
pip install -r requirements.txt

2. Standalone Terminal CLI (Scan 10,000+ Files Locally)

# Scan a directory and generate unified .patch
python cli.py ./my-project --patch autopatch.patch

# Apply patch directly via git
git apply autopatch.patch

3. Launch Local Review Workstation (Raycast / Linear Dark UI)

streamlit run app.py

Open http://localhost:8502 in your browser.

4. Run Automated Unit Tests

pytest -o pythonpath=. tests/

📂 Project Structure

autopatch-ai/
├── action.yml                  # GitHub Action specification (Composite)
├── ci_bot.py                   # Automated CI/CD PR Reviewer & Commenter
├── cli.py                      # Standalone high-speed Terminal CLI scanner
├── app.py                      # Luxury Raycast/Linear Dark review workstation
├── core/
│   ├── __init__.py
│   ├── diff_parser.py          # Unified Git diff & hunk pre-filtering
│   ├── surgical_analyzer.py    # Zero-noise CWE & bug detection engine
│   └── patch_validator.py      # Syntax and indentation patch validator
├── samples/
│   ├── __init__.py
│   └── vulnerable_samples.py   # Multi-language test scenarios (Python + Node.js)
├── tests/
│   ├── __init__.py
│   └── test_autopatch.py       # Comprehensive pytest test suite (4/4 passing)
├── .github/
│   └── workflows/
│       └── autopatch.yml       # Production CI workflow configuration
├── .streamlit/
│   └── config.toml             # Raycast/Linear Obsidian theme configuration
├── requirements.txt            # Minimal production dependencies
├── LICENSE                     # PolyForm Noncommercial 1.0.0
└── README.md                   # Technical documentation

🛡️ Supported CWE Vulnerability Matrix

📄 License & Commercial Rights

Kavach AI is licensed under the PolyForm Noncommercial License 1.0.0.

• Free for Community: Free forever for individuals, students, open-source projects, and noncommercial research.
• Commercial Restrictions: Commercial deployment, SaaS hosting, or commercial redistribution is strictly prohibited without a commercial license.
• Enterprise & Commercial Licensing: For commercial use or organization subscriptions, contact Raja Rajak (rajabhaiyarajak2008@gmail.com).

Copyright (c) 2026 Raja Rajak (@rajrajak99). All rights reserved.