agent-plugin-diagnostics

v0.1.0 safe
4.0
Medium Risk

Local-first diagnostics for MCP and AI coding-agent plugin setups.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks in terms of network, shell, obfuscation, and credential handling. While there is a moderate metadata risk due to its novelty and lack of community engagement, this alone does not indicate malicious intent.

  • Low network and shell risk scores.
  • No signs of obfuscation or credential harvesting.
  • Moderate metadata risk due to low activity.
Per-check LLM notes
  • Network: Network calls are typical for packages that need to communicate with external services for diagnostics.
  • Shell: Shell execution may be necessary for the package's functionality, but it increases risk due to potential command injection vulnerabilities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is new with low activity indicators which may suggest potential risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • on) async with ( httpx.AsyncClient(headers=server.headers or None, timeout=timeout) as http_cli
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • try: completed = subprocess.run( [str(path), *command.version_args],
  • ne try: process = subprocess.Popen( argv, cwd=cwd, env=merg
  • _mcp_server.py" process = subprocess.Popen( [sys.executable, str(fixture), str(port), server_tr
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Fenil Ramoliya" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agent-plugin-diagnostics 
Create a comprehensive local diagnostics tool for developers working with MCP (Multi-Cloud Platform) and AI coding-agent plugins. This tool will help developers identify potential issues in their setup before deploying their applications. Here’s what your application should achieve:

1. **Setup Configuration**: Allow users to input their MCP environment details and AI coding-agent plugin configurations.
2. **Diagnostic Checks**: Implement a series of diagnostic checks using the 'agent-plugin-diagnostics' package to verify connectivity, plugin compatibility, and other critical aspects of the setup.
3. **Report Generation**: Generate a detailed report highlighting any issues found during the diagnostic process. Include recommendations for resolving these issues.
4. **User Interface**: Develop a simple, intuitive user interface for easy interaction. Consider both command-line and GUI options.
5. **Customization Options**: Provide customization options for advanced users who want to tailor the diagnostic checks to their specific needs.
6. **Integration with CI/CD Pipelines**: Ensure the tool can be integrated into CI/CD pipelines for automated testing and validation.

**How to Utilize 'agent-plugin-diagnostics':** 
- Use the package's core functionalities to perform local diagnostics on MCP and AI coding-agent setups.
- Leverage the package’s APIs to interact with MCP and AI coding-agent environments.
- Incorporate the package’s logging and reporting capabilities to enhance the tool's diagnostic outputs.

This project aims to streamline the development and deployment process for developers working with complex MCP and AI coding-agent setups, ensuring they have a robust tool at their disposal to maintain system integrity and performance.