AI Analysis
The package shows moderate risks due to its interaction with external services and the lack of a public git repository, raising concerns about its legitimacy.
- Moderate network risk due to external service interactions
- No public git repository found
Per-check LLM notes
- Network: The presence of network calls suggests the package interacts with external services, which is common but should be reviewed for legitimacy and necessity.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package and the git repository is not found, which raises some suspicion but does not confirm malicious activity.
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 (2416 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
17 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 1 network call pattern(s)
losed self._session = requests.Session() self._session.headers.update({ "Conten
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: antarraksha.ai
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
1 maintainer concern(s) found
Author "Akash Kumar Dey" 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 antarraksha-langchain package to demonstrate its core features.
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