augur-schema

v0.6.0 safe
4.0
Medium Risk

Augur schema package — canonical JSON Schemas for CUA debugger records.

🤖 AI Analysis

Final verdict: SAFE

The package has no detected risks in terms of network usage, shell execution, or credential harvesting. The main concern lies in the incomplete metadata, but this alone does not indicate a supply-chain attack.

  • No network calls detected
  • Incomplete maintainer information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found and the maintainer's information is incomplete, raising some suspicion.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (914 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

  • Classifier: Typing :: Typed
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 augur-schema 
Create a Python-based mini-application named 'CUA Debugger Assistant' which leverages the 'augur-schema' package to validate and manage CUA debugger records efficiently. This application will serve as a tool for developers and system administrators to ensure the integrity of their CUA debugger logs, helping them to quickly identify issues related to code execution and debugging processes.

Step-by-Step Instructions:
1. Install the necessary packages including 'augur-schema'.
2. Import the relevant schemas from 'augur-schema' into your project.
3. Develop a function that reads in a JSON file containing CUA debugger records.
4. Implement validation logic using the imported schemas to check if the records adhere to the expected structure.
5. If any record fails validation, log the error details along with the specific issue found.
6. Create a feature to automatically correct common errors (e.g., missing fields) based on predefined rules, ensuring minimal manual intervention.
7. Add functionality to generate a summary report of the validation process, highlighting any issues found and suggesting potential fixes.
8. Optionally, implement a user-friendly command-line interface for interacting with the application.

Suggested Features:
- Support for multiple input formats (JSON, CSV).
- Real-time validation feedback during file upload.
- Detailed error reporting with suggestions for correction.
- Integration with popular version control systems for seamless workflow management.
- Ability to export validated data back into a clean JSON format.

How 'augur-schema' is Utilized:
- The 'augur-schema' package provides the foundational schemas required for validating CUA debugger records. These schemas define the expected structure and content of the records, ensuring consistency and accuracy across different debugging scenarios. By utilizing these schemas, the application can enforce strict adherence to the defined standards, facilitating easier identification and resolution of discrepancies within the debugger logs.

💬 Discussion Feed

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