AI Analysis
The package shows minimal risk with no network calls, no obfuscation, and no credential harvesting. The shell execution could be a concern, but it appears to be used for legitimate purposes like version checking.
- Shell risk due to version checking
- Low activity maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external communications.
- Shell: Executing shell commands to check versioning can be legitimate but should be scrutinized for unexpected behaviors or permissions escalation.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (23583 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project225 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
Found 1 shell execution pattern(s)
try: completed = subprocess.run( [executable_path, "--version"],
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
1 maintainer concern(s) found
Author "trevor-nichols" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
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Build a simple Python application using the agentrules package to demonstrate its core features.