aspice-eval

v0.2.4 suspicious
5.0
Medium Risk

ASPICE Knowledge Base & Agent Workflow evaluation tool for SDP gap analysis

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows a moderate risk due to potential credential harvesting issues and the maintainer's limited presence in the ecosystem. These factors warrant further investigation.

  • Potential credential harvesting pattern detected with incomplete AWS environment variable handling.
  • Maintainer has only one package, suggesting a new or less active account.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar vulnerabilities.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: Potential credential harvesting pattern detected with incomplete AWS environment variable handling.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5030 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 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 score 2.5

Found 1 credential access pattern(s)

  • = ( region or os.environ.get("AWS_REGION") or "" ) try: # --- Fail-fa
✓ 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 2.0

1 maintainer concern(s) found

  • Author "ASPICE Eval Contributors" 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 aspice-eval 
Your task is to develop a fully functional mini-application that leverages the 'aspice-eval' Python package to perform SDP (Software Development Process) gap analysis for automotive software projects. This application will serve as a tool for teams to assess their current processes against the ASPICE standards and identify areas of improvement.

### Application Overview:
- **Name**: SDP Gap Analyzer
- **Purpose**: To help teams evaluate their current SDP against ASPICE standards, providing actionable insights on gaps and recommendations for process improvements.
- **Target Audience**: Software development teams in the automotive industry looking to enhance their compliance with ASPICE standards.

### Core Features:
1. **Process Evaluation**: Users input details about their current SDP processes. The app evaluates these against ASPICE criteria using the 'aspice-eval' package.
2. **Gap Identification**: For each process area, the app identifies gaps between the user's current practices and the ideal ASPICE standards.
3. **Recommendations**: Based on identified gaps, the app provides specific recommendations for process improvements.
4. **Reporting**: Generates a detailed report summarizing the evaluation results, including gap analysis and recommendations.
5. **User Interface**: A simple, intuitive web interface where users can input their data and view reports.
6. **Customization**: Allow users to customize certain aspects of the evaluation process according to their unique needs.

### Utilization of 'aspice-eval':
- **Knowledge Base Integration**: Use 'aspice-eval' to integrate its comprehensive knowledge base of ASPICE standards into your application.
- **Workflow Analysis**: Leverage 'aspice-eval' to analyze user-submitted workflows and identify discrepancies with best practices.
- **Evaluation Logic**: Implement the core evaluation logic provided by 'aspice-eval' to systematically compare user processes against ASPICE standards.
- **Report Generation**: Utilize 'aspice-eval' tools to generate insightful, actionable reports based on the evaluation outcomes.

### Additional Considerations:
- Ensure the application is user-friendly and accessible.
- Provide examples and tutorials within the app to guide new users through the evaluation process.
- Include a feedback mechanism for users to provide input on the usefulness of the recommendations and the accuracy of the evaluations.
- Explore integration options with existing project management tools commonly used in the automotive industry.

Develop this application as a standalone tool that can be easily deployed and used by any team looking to improve their SDP compliance with ASPICE standards.

💬 Discussion Feed

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