AI Analysis
The package shows minimal risk indicators with no evidence of malicious activities or supply-chain attacks.
- Low network, shell, obfuscation, and credential risks.
- Metadata risk is slightly elevated due to the maintainer's limited presence.
Per-check LLM notes
- Network: The observed network calls seem to be part of normal API interaction with an endpoint, likely for operational purposes.
- 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 no GitHub repository, which may indicate a less established project.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
2 test file(s) detected (e.g. operator_nes_test.py)
Some documentation present
Detailed PyPI description (3669 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
19 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
Found 3 network call pattern(s)
_token response = requests.post( url=self.nes, json=request_> str: response = requests.get( url=f"{self.nes}/{self.run_id}",True: response = requests.delete(f"{self.nes}/{self.run_id}") status = response.j
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: sktai.io
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "aidp" 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 apache-airflow-providers-sktvane package to demonstrate its core features.
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