AI Analysis
The package shows no signs of obfuscation or credential harvesting, indicating it poses minimal risk. The absence of such patterns strongly suggests that this package is not involved in any supply-chain attack.
- No obfuscation patterns detected
- No credential harvesting patterns detected
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://docs.airbyte.com/integrations/sources/smoke-testBrief PyPI description (462 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
14 unique contributor(s) across 100 commits in airbytehq/airbyteActive community — 5 or more distinct contributors
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
Email domain looks legitimate: airbyte.io
All external links appear legitimate
Repository airbytehq/airbyte appears legitimate
1 maintainer concern(s) found
Author "Airbyte" 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 airbyte-source-smoke-test package to demonstrate its core features.