alpha-avatar-plugins-persona

v0.6.0 safe
3.0
Low Risk

AlphaAvatar Framework plugin for persona service

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with no strong indicators of malicious activity. The low credential and metadata risks, combined with common use cases for observed obfuscation techniques, suggest that this package is likely safe.

  • Low credential risk
  • Common data serialization practices observed
  • Maintainer metadata is weak but not indicative of malicious intent
Per-check LLM notes
  • Obfuscation: The base64 decoding and numpy array creation may indicate data obfuscation, but it is commonly used for legitimate purposes such as data serialization.
  • Credentials: No suspicious patterns indicating credential harvesting were found.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some concerns but does not strongly indicate malicious intent.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3534 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 53 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in AlphaAvatar/AlphaAvatar
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • arr = np.frombuffer(base64.b64decode(x["base64"]), dtype=np.dtype(x["dtype"])) re
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

Repository AlphaAvatar/AlphaAvatar appears legitimate

Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with alpha-avatar-plugins-persona
Build a simple Python application using the alpha-avatar-plugins-persona package to demonstrate its core features.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!