AI Analysis
The package shows low risks across multiple categories with no network calls, shell executions, or obfuscation techniques observed. The metadata risk slightly increases due to the author's limited package history.
- Low network and shell risk
- No obfuscation or credential harvesting
- Single package from author
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires online services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The author has only one package, suggesting a new or less active account which may warrant further investigation.
Package Quality Overall: Medium (5.8/10)
Test suite present — 7 test file(s) found
Test runner config found: pyproject.toml7 test file(s) detected (e.g. test_contextual_policy.py)
Some documentation present
Detailed PyPI description (6657 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
123 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 14 commits in microsoft/azure-agents-learning-sdkTwo distinct contributors found
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
Repository microsoft/azure-agents-learning-sdk appears legitimate
1 maintainer concern(s) found
Author "CMS Top Customers" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the azure-agents-learning-sdk package to demonstrate its core features.
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