🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, and obfuscation activities, but there are concerns regarding the maintainer's history and metadata integrity.

Low risk in network, shell, and obfuscation activities.
Metadata risk due to potential issues with maintainer history.

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 executing arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no risk of secret theft.
Metadata: Low risk due to lack of suspicious links and typosquatting, but concerns about maintainer history suggest caution.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ 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 anna-app-schema

Create a mini-app called 'SchemaScribe' which is a tool designed to help developers manage and version their application schemas using the 'anna-app-schema' package. This app will allow users to define, validate, and version their data schemas, ensuring consistency across different versions of their applications.

Step-by-Step Instructions:
1. Define the schema structure: Users should be able to input their data fields, types, and constraints through a simple interface. This will generate a schema object that adheres to the 'anna-app-schema' format.
2. Schema Validation: Implement a feature where users can input sample data against their defined schema to check if it conforms to the specified rules. This will ensure that the data adheres to the schema before being stored or processed.
3. Versioning Support: Integrate version control into the schema management process. Users should be able to create new versions of their schema and compare differences between versions. This ensures backward compatibility and allows for controlled updates.
4. Export & Import Schemas: Provide options for users to export their schemas in various formats (JSON, YAML) and import existing schemas into the system.
5. Documentation Generation: Automatically generate documentation from the schema definitions, making it easier for other developers to understand the structure and usage of the data models.

Suggested Features:
- User-friendly UI for schema definition and validation.
- Integration with popular version control systems like Git for managing schema versions.
- Real-time preview of schema changes.
- Notifications for deprecated fields or types during schema upgrades.
- Support for multiple schema formats (JSON, YAML).
- Collaboration features allowing multiple users to work on the same schema simultaneously.

How to Utilize 'anna-app-schema':
The 'anna-app-schema' package provides essential functionalities such as schema definition, validation, and version management, which are critical components of 'SchemaScribe'. By leveraging its capabilities, you can ensure that your application schemas are robust, consistent, and easy to maintain over time. Use the package's API to handle schema operations, validation checks, and version tracking seamlessly within your mini-app.