aiel-runtime

v0.5.3 suspicious
4.0
Medium Risk

AIEL Runtime adapter used by the Execution Plane to load and execute user projects.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits minimal direct security risks, but the metadata suggests potential issues with maintenance and authorship effort.

  • Low network, shell, obfuscation, and credential risks
  • Metadata risk due to low maintenance and authorship effort
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate use without security compromise.
  • Metadata: The package shows low maintenance and authorship effort, raising some suspicion but not definitive evidence of malice.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_runner.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (19232 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Governance file: security.py
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 66 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aiel-runtime 
Your task is to create a fully-functional mini-app that leverages the 'aiel-runtime' Python package to manage and execute user-defined scripts within a controlled environment. This app will serve as a sandbox where users can upload their Python scripts and have them run safely and efficiently without affecting the host system.

### Project Overview:
- **Name:** ScriptSandbox
- **Purpose:** To provide a secure, isolated environment for executing user-provided Python scripts.
- **Features:**
  - User script upload via web interface or API.
  - Secure execution of uploaded scripts using 'aiel-runtime'.
  - Real-time output logging and error handling.
  - Optional feature: support for script versioning.

### Detailed Steps:
1. **Setup Environment:** Create a virtual environment and install necessary packages including 'aiel-runtime', Flask (for web framework), and any other dependencies.
2. **User Interface Development:** Develop a simple web interface where users can upload their Python scripts. Ensure there is also an option to specify a unique identifier for each script.
3. **Script Execution:** Utilize 'aiel-runtime' to load and execute the uploaded scripts in a sandboxed environment. Handle any exceptions or errors gracefully and log them for review.
4. **Output Management:** Capture the standard output and errors from the executed scripts and display them back to the user in real-time through the web interface.
5. **Security Measures:** Implement basic security checks before executing any script to prevent malicious code execution. Use 'aiel-runtime' functionalities to further enhance security.
6. **Optional - Version Control:** Allow users to save different versions of their scripts and retrieve previous versions if needed.
7. **Testing & Deployment:** Test the application thoroughly and deploy it on a cloud service like Heroku or AWS.

### How 'aiel-runtime' is Used:
- **Loading Scripts:** Use 'aiel-runtime' to load user scripts into memory without directly executing them until explicitly instructed.
- **Execution Context:** Set up an execution context that isolates the script from the main application environment, ensuring no harmful actions can affect the host system.
- **Monitoring:** Monitor the execution process for any anomalies or failures, logging all relevant data for future analysis and troubleshooting.
- **Resource Management:** Manage resources allocated to each script execution carefully to avoid overloading the system.

This project aims to showcase the capabilities of 'aiel-runtime' while providing a practical solution for developers who need a safe way to test and execute Python code snippets.

💬 Discussion Feed

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