agi-transformer

v5.1.0 suspicious
7.0
High Risk

AGi Transformer v5.1 Advanced — FP4-E2M1, Parallel Blocks, Mamba, Double Buffering

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows significant obfuscation and metadata risks, suggesting potential attempts to hide its true functionality or intentions. Given the limited history of the maintainer and the lack of a discoverable repository, this package warrants further scrutiny before use.

  • High obfuscation risk
  • Repository not found
  • Limited maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: The observed obfuscation patterns suggest an attempt to obscure code logic, which could indicate malicious intent but may also be part of a non-malicious obfuscation technique used to protect intellectual property.
  • Credentials: No clear patterns indicative of credential harvesting were detected.
  • Metadata: The repository is not found, and the maintainer has limited history with PyPI, which raises concerns.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_import.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://agi-transformer.readthedocs.io
  • Detailed PyPI description (1327 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 15 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • emperature=1.0): self.eval() for _ in range(max_new_tokens): logits
  • Transformer(config) model.eval() x = torch.randint(0, 100, (1, 5)) with torch.no_gr
✓ 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 score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "AGi Architecture Framework" 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 agi-transformer
Create a real-time audio processing application using the 'agi-transformer' package. This application will serve as a tool for musicians and sound engineers to experiment with advanced audio transformations in real-time. The application should include the following features:

1. Real-time audio input from a microphone or an external audio source.
2. A graphical user interface (GUI) that allows users to adjust parameters such as volume, pitch, and effects like reverb and delay.
3. Utilize the 'agi-transformer' package's advanced features including FP4-E2M1 quantization, parallel blocks, Mamba acceleration, and double buffering to enhance the performance and quality of the audio transformations.
4. Implement a feature that saves the processed audio to a file.
5. Include a visualization component that shows the frequency spectrum of the input and output audio in real-time.

The application should be designed to showcase the capabilities of the 'agi-transformer' package in handling complex audio transformations efficiently. It should also provide a user-friendly interface for non-technical users to interact with these advanced functionalities.

💬 Discussion Feed

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