AI Analysis
The package exhibits low risks in network, shell execution, obfuscation, and credential handling, but its metadata suggests low maintainer effort and lack of a public repository, which raises concerns about potential supply-chain risks.
- Low maintainer effort
- Lack of public repository
Per-check LLM notes
- Network: Network calls are common for packages that require internet access to fetch data or communicate with external services.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer effort and lacks a public repository, raising some suspicion but not definitive evidence of malice.
Package Quality Overall: Low (3.6/10)
Test suite present — 3 test file(s) found
Test runner config found: pyproject.toml3 test file(s) detected (e.g. test_base.py)
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
13 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 2 network call pattern(s)
self._http_client = httpx.AsyncClient(timeout=self.config.timeout, verify=self.config.verify_ssl): try: async with httpx.AsyncClient(timeout=timeout, verify=verify_ssl) as client: r
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application that acts as a secure token exchange service using the 'agentsts-core' package. This application will serve as a demonstration of how OAuth 2.0 Token Exchange works in practice, allowing users to request and exchange tokens between different systems while maintaining security and compliance with the RFC 8693 standard. The application should include the following features: 1. User Authentication: Allow users to authenticate themselves via a simple username/password combination. Upon successful authentication, the user will receive an access token. 2. Token Exchange: Users should be able to exchange their initial access token for another type of token (e.g., an ID token or a refresh token), which can be used to access other services. 3. Token Validation: Implement a feature that allows any token issued by the system to be validated against the server to ensure its authenticity. 4. Logging: Maintain a log of all token exchanges and validations for auditing purposes. 5. Security Enhancements: Use HTTPS for all communications and ensure that tokens are securely stored and transmitted. Utilize the 'agentsts-core' package to handle the core functionalities related to token exchange, including generating, exchanging, and validating tokens according to the OAuth 2.0 Token Exchange protocol. This includes setting up the necessary endpoints for initiating token requests and handling responses from the client side. Your task is to design and implement this mini-application from scratch, ensuring it is fully functional, secure, and demonstrates a practical use case for the 'agentsts-core' package.