assertions-mate

v0.4.0 safe
3.0
Low Risk

(No description)

🤖 AI Analysis

Final verdict: SAFE

The package assertions-mate has minimal risks associated with network calls, shell execution, obfuscation, and credential harvesting. While there is a moderate concern regarding metadata, such as the repository's engagement level, the overall risk remains low.

  • Low risk scores across all technical indicators.
  • Moderate concern about repository engagement and author visibility.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a utility package like assertions-mate.
  • Shell: No shell execution patterns detected, indicating no suspicious system command invocations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's lack of engagement and the author's limited presence raise some suspicion but do not conclusively indicate malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • 5 test file(s) detected (e.g. test_validators_example.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/Terradue/assertions-mate#README.md
  • Detailed PyPI description (2661 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 12 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 32 commits in Terradue/assertions-mate
  • Two distinct contributors found

🔬 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

Email domain looks legitimate: terradue.com>

✓ 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

  • Author name is missing or very short
  • Author "" 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 assertions-mate 
Develop a small but comprehensive application that leverages the 'assertions-mate' package to validate input data for a simple command-line tool. This tool will accept user input and validate it against predefined rules using JSON Schema, Rego policies, and CQL2 expressions before executing a specific operation. Here’s a detailed breakdown of the steps and features:

1. **Setup**: Install necessary packages including 'assertions-mate', 'cwltool' for CWL workflow execution, and any other dependencies.
2. **Define Input Schema**: Create a CWL workflow definition file with embedded assertion hints. These hints should include JSON Schema definitions, Rego policies, and CQL2 expressions to validate various aspects of the input data.
3. **Input Validation**: Use 'assertions-mate' to validate the user input against the defined schema, policies, and expressions. Ensure the application provides clear error messages if any validation fails.
4. **Execution**: If all validations pass, proceed to execute a simple operation based on the validated input. For example, the operation could be generating a report, processing data, or any other relevant task.
5. **Output**: Display the result of the operation or any errors encountered during execution.
6. **User Interface**: Implement a basic CLI interface where users can provide input and see the results of their operations. Include options for verbose logging and help documentation.
7. **Testing**: Write unit tests to ensure the application correctly handles both valid and invalid inputs, and that it executes the intended operation successfully when validations pass.
8. **Documentation**: Provide clear documentation explaining how to install the application, use the CLI, and understand the validation process.

Suggested Features:
- Support for multiple types of input validations within a single workflow definition.
- Option to override default validation rules through command-line arguments.
- Detailed logging and reporting of validation results.
- Integration with external services for additional data verification (optional).

This project aims to demonstrate the power of 'assertions-mate' in ensuring robust input validation in command-line tools and workflows, enhancing security and reliability.

💬 Discussion Feed

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