AI Analysis
The package has minimal risks associated with network usage, shell execution, obfuscation, and credential handling. However, the metadata quality and maintenance level are low, which slightly increases the risk.
- Low risk in network operations, shell execution, and obfuscation.
- Poor metadata quality and low maintenance activity raise some concerns.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality for its intended use.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows low maintenance and poor metadata quality, but lacks clear indicators of malicious intent.
Package Quality Overall: Low (4.4/10)
Test suite present — 3 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml3 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (1478 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
18 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
No suspicious network call patterns found
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
Build a simple Python application using the astropods-adapter-langchain package to demonstrate its core features.
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