anip-graphql

v0.24.4 suspicious
4.0
Medium Risk

ANIP GraphQL bindings — expose ANIPService capabilities via GraphQL

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various categories but the metadata risk score suggests potential issues with the maintainer's account status and lack of author details.

  • Metadata risk due to new/inactive maintainer account
  • Lack of package description
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which may indicate low activity or oversight.

📦 Package Quality Overall: Medium (5.0/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_graphql.py)
○ 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
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 11 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in anip-protocol/anip
  • Small but multi-author team (3–4 contributors)

🔬 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: anip.dev>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository anip-protocol/anip appears legitimate

⚠ 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 anip-graphql 
Create a mini-application named 'AnimeSearcher' using the 'anip-graphql' package that integrates with a GraphQL API to provide a user-friendly interface for searching anime details. This application will allow users to query for specific anime titles, seasons, and genres, as well as retrieve related information such as episodes, characters, and staff involved.

The core functionalities of the 'AnimeSearcher' application include:
1. A search bar where users can input an anime title to find detailed information about it.
2. A dropdown menu to filter searches by genre.
3. A calendar view to show airing schedules for upcoming seasons.
4. An interactive graph to display relationships between characters and staff members.
5. Pagination support to handle large datasets efficiently.

To utilize the 'anip-graphql' package, follow these steps:
1. Install the 'anip-graphql' package in your Python environment.
2. Define a schema for your GraphQL queries based on the capabilities exposed by 'ANIPService'.
3. Implement resolver functions to fetch data from the GraphQL API and map it to your application's model.
4. Use the 'anip-graphql' client to execute queries against the GraphQL server.
5. Integrate the fetched data into your UI components to provide a seamless user experience.

Additional requirements:
- Ensure the application is responsive and works well on both desktop and mobile devices.
- Include error handling to manage cases where the API returns no results or encounters technical issues.
- Provide a brief documentation on how to run the application locally for testing purposes.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!