Improve microsoft/RD-Agent Trust Score

# Security Policy

## Supported Versions

| Version | Supported |
| ------- | --------- |
| latest  | ✅         |

## Reporting a Vulnerability

Please report security vulnerabilities to [email protected]

We will respond within 48 hours and provide a fix timeline.

Do NOT open public issues for security vulnerabilities.

# .github/workflows/security.yml
name: Security Scan
on:
  push:
    branches: [main]
  pull_request:
  schedule:
    - cron: '0 6 * * 1'

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run Trivy vulnerability scanner
        uses: aquasecurity/trivy-action@master
        with:
          scan-type: 'fs'
          severity: 'HIGH,CRITICAL'

# For Python:
pip install --upgrade -r requirements.txt
pip freeze > requirements.txt

# For Node:
npx npm-check-updates -u
npm install

# .github/dependabot.yml
version: 2
updates:
  - package-ecosystem: "pip"
    directory: "/"
    schedule:
      interval: "weekly"
    open-pull-requests-limit: 5

## Installation

```bash
pip install microsoft-rd-agent
```

## Quick Start

```python
from microsoft_rd_agent import Client

client = Client()
result = client.run()
print(result)
```

## API Reference

See [docs/api.md](docs/api.md) for full API documentation.

## Contributing

See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

# PyPI:
python -m build
twine upload dist/*

# npm:
npm publish

# Contributing to microsoft/RD-Agent

## Getting Started

1. Fork the repository
2. Create a feature branch: `git checkout -b feature/my-feature`
3. Commit changes: `git commit -am 'Add feature'`
4. Push: `git push origin feature/my-feature`
5. Open a Pull Request

## Code Style

- Follow existing code patterns
- Add tests for new features
- Update documentation as needed

## Bug Reports

Use GitHub Issues with a clear description and reproduction steps.

{
  "name": "microsoft/RD-Agent",
  "description": "Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe",
  "version": "1.0.0",
  "capabilities": [],
  "trust_score": "https://nerq.ai/is-microsoft-rd-agent-safe"
}

[![Nerq Trust Score](https://nerq.ai/badge/microsoft/RD-Agent)](https://nerq.ai/is-microsoft-rd-agent-safe)