AI Analysis
The package shows low risk in terms of network usage, shell execution, and code obfuscation. However, the recent repository creation and rapid commit activity raise concerns about potential malicious intent.
- Recent repository creation
- Rapid commit activity
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Recent repository creation and rapid commit activity suggest potential malicious intent.
Package Quality Overall: Low (3.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (4347 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Limited contributor diversity
2 unique contributor(s) across 13 commits in abel1502/anyquestsTwo 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
Git history flags: Repository created very recently: 6 day(s) ago (2026-06-01T08:44:25Z)
Repository created very recently: 6 day(s) ago (2026-06-01T08:44:25Z)All 13 commits happened within 24 hours
1 maintainer concern(s) found
Author "abel1502" 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 anyquests package to demonstrate its core features.
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