playwright-smart-locators

v0.1.0 suspicious
4.0
Medium Risk

AI-powered self-healing smart locators for Playwright (Python).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to its metadata quality and new maintainer's limited history, despite having low risks in other areas such as shell execution and credential harvesting.

  • Metadata risk is high due to missing git repository and poor metadata quality.
  • New maintainer with limited historical contributions.
Per-check LLM notes
  • Network: The use of network calls to localhost might be intended for local testing or debugging but could also indicate unexpected behavior.
  • 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 package shows several red flags including lack of a git repo, low metadata quality, and a new maintainer with limited history.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • try: with socket.create_connection(("127.0.0.1", port), timeout=0.1): break
  • ut=None) -> str: with httpx.Client(timeout=timeout or self._timeout) as c: r = c.po
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T06:01:15.000Z)
  • Author "R&D Team" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)

💬 Discussion Feed

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