AI Analysis
Final verdict: SAFE
The package shows minimal signs of risk based on the analysis notes provided. There are no indications of malicious activities such as obfuscation, shell execution, or credential harvesting.
- Low risk scores across all categories except metadata.
- No suspicious patterns detected in the code.
Per-check LLM notes
- Network: The use of httpx for making network calls is common and expected for packages that interact with external services or APIs.
- Shell: No shell execution patterns were detected, which is normal and expected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk to stored secrets.
- Metadata: The package appears to be new and has limited activity, which could indicate potential risk but lacks clear evidence of malicious intent.
Package Quality Overall: Low (4.4/10)
✦ High
Test Suite
9.0
Test suite present — 2 test file(s) found
Test runner config found: pyproject.toml2 test file(s) detected (e.g. test_backend.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (34403 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
31 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 4.5
Found 3 network call pattern(s)
self._http = http_client or httpx.AsyncClient(timeout=30.0) # ---------------------------------------ansport(handler) client = httpx.AsyncClient(transport=transport) return AltsCodexBackend(**SDK_OPTIOansport(handler) client = httpx.AsyncClient(transport=transport) sdk = AltsCodexBackend(**SDK_OPTION
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 4.0
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "altscodex" 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 altscodex-sdk
Create a mini-application using FastAPI and the 'altscodex-sdk' package that allows users to manage their OAuth tokens securely. The app should provide a user-friendly interface for logging in via OAuth, viewing their current OAuth tokens, and revoking tokens when necessary. Additionally, include a feature that allows users to generate a report on the usage history of their tokens. Utilize the core functionalities of 'altscodex-sdk' to handle the OAuth deauthorization process efficiently. Step-by-Step Instructions: 1. Set up a new FastAPI project. 2. Install the 'altscodex-sdk' package. 3. Create routes for user authentication via OAuth. 4. Implement functionality to display a user's OAuth tokens. 5. Add a route for revoking OAuth tokens. 6. Develop a reporting system that tracks token usage. 7. Ensure all data interactions with the 'altscodex-sdk' are secure and comply with best practices. Suggested Features: - User registration and login - OAuth provider integration (e.g., Google, GitHub) - Token management dashboard - Token revocation confirmation dialog - Detailed usage reports including dates and times of token usage - Secure storage and handling of user credentials and tokens
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