apron-tools

v0.4.1 safe
4.0
Medium Risk

Agent-ready provider API wrappers with typed schemas, OAuth scope mappings, and LLM function-calling definitions.

🤖 AI Analysis

Final verdict: SAFE

The package does not exhibit significant risks and appears to serve a legitimate purpose. However, the low-effort metadata and the use of base64 encoding suggest a need for closer monitoring.

  • Low metadata quality
  • Use of base64 encoding
Per-check LLM notes
  • Network: The presence of network calls is not inherently suspicious but should be reviewed to ensure they align with the package's intended functionality.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The use of base64 decoding might indicate an attempt to hide code logic, but it could also be used for legitimate purposes such as data serialization.
  • Credentials: No suspicious patterns for credential harvesting were detected.
  • Metadata: The package shows some low-effort signs and lacks proper maintainer information, but there are no clear indicators of malicious intent.

📦 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 7.0

Some documentation present

  • 4 documentation file(s) (e.g. __init__.py)
  • Detailed PyPI description (4775 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 5.0

Partial type annotation coverage

  • 318 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 score 6.0

Found 4 network call pattern(s)

  • e response.""" async with httpx.AsyncClient(timeout=_TIMEOUT, follow_redirects=True) as client:
  • " try: async with httpx.AsyncClient(timeout=_TIMEOUT) as client: resp = await client
  • try: async with httpx.AsyncClient(timeout=_TIMEOUT) as client: resp = await client
  • ) try: async with httpx.AsyncClient(timeout=_TIMEOUT) as client: get_resp = await cl
Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • decoded = base64.b64decode(contents.content).decode("utf-8") except (Un
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 apron-tools
Create a mini-application called 'OAuthScopeMapper' using the Python package 'apron-tools'. This application will serve as a tool for developers to easily manage OAuth scopes across different APIs. It will help in defining and mapping scopes for various APIs, ensuring that developers can request only the necessary permissions for their applications. The application should include the following features:

1. **API Integration**: Integrate with at least three popular APIs (e.g., Twitter, GitHub, and Google Maps) using 'apron-tools' to handle OAuth authentication and scope management.
2. **Scope Definition**: Allow users to define custom OAuth scopes for each API, including read-only, write-only, and read-write permissions.
3. **Scope Mapping**: Implement functionality to map these custom scopes to the actual scopes required by each API, using 'apron-tools' to ensure type safety and correct OAuth scope mappings.
4. **Function Calling Definitions**: Utilize 'apron-tools' to generate function-calling definitions for LLMs (Large Language Models) to interact with the APIs, making it easier for developers to integrate these APIs into their projects.
5. **User Interface**: Develop a simple command-line interface (CLI) for users to interact with the application, add or modify scopes, and see the mapped scopes.
6. **Documentation**: Provide clear documentation on how to use the application, including examples of scope definitions and mappings.

The goal is to create a useful tool that simplifies OAuth scope management for developers working with multiple APIs. Use 'apron-tools' effectively to streamline the process and ensure that the application is robust and easy to maintain.

💬 Discussion Feed

Leave a comment

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