aix

v0.0.32 suspicious
7.0
High Risk

Artificial Intelligence eXtensions

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits several suspicious characteristics including potential typosquatting, low-effort metadata, and moderate levels of network and shell execution risks. These factors combined suggest a heightened risk level.

  • Potential typosquatting targeting 'pip'
  • Moderate network and shell execution risks
  • Low-effort metadata suggesting possible malicious intent
Per-check LLM notes
  • Network: Network calls seem to be part of normal API interactions, but should be reviewed for endpoints and data being accessed.
  • Shell: Shell executions appear specific to playing audio files on different operating systems, which could indicate functionality related to the package's purpose but also potential for misuse.
  • Obfuscation: The use of base64 decoding may indicate an attempt to obfuscate the code, but it could also be a legitimate need for data encoding.
  • Credentials: No clear signs of credential harvesting detected.
  • Metadata: The package shows signs of low effort and potential typosquatting, increasing suspicion of malicious intent.
  • ⚠ Typosquatting target: pip

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 10 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (19797 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

  • 142 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 87 commits in thorwhalen/aix
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • uests response = requests.get(self.url) response.raise_for_status()
  • requests response = requests.get(self._endpoint, timeout=self._timeout) response.rais
  • try: response = requests.get(f"{self._base_url}/api/tags", timeout=self._timeout)
  • try: response = requests.get( f"{self._base_url}/models", headers=headers
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • self._image_data = base64.b64decode(self.b64_json) return self._image_data
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • in": # macOS subprocess.run(["afplay", temp_path]) elif sys.platform == "lin
  • m == "linux": subprocess.run(["aplay", temp_path]) elif sys.platform == "win3
✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 10.0

Possible typosquat of: pip, six, nox, tox, arq

  • "aix" is 2 edit(s) from "pip"
  • "aix" is 1 edit(s) from "six"
  • "aix" is 2 edit(s) from "nox"
  • "aix" is 2 edit(s) from "tox"
  • "aix" is 2 edit(s) from "arq"
✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository thorwhalen/aix appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Thor Whalen" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aix 
Create a Python-based mini-app named 'AIAssistant' using the 'aix' package which provides Artificial Intelligence eXtensions. This app will serve as a personal AI assistant capable of performing various tasks such as answering user queries, providing weather updates, setting reminders, and more. The goal is to demonstrate the versatility and power of the 'aix' package by integrating it into a practical, user-friendly application.

### Features:
- **Query Response**: Utilize the 'aix' package to connect to an AI model that can understand and respond to natural language queries. For example, users can ask about the meaning of words, definitions of terms, or general knowledge questions.
- **Weather Updates**: Integrate a feature that fetches real-time weather data from an API and presents it in a readable format. The 'aix' package can help in parsing and understanding the weather data to provide more insightful responses.
- **Reminder Setting**: Allow users to set reminders for specific dates and times. Use the 'aix' package to parse natural language inputs for dates and times, making it easier for users to interact with the reminder feature.
- **Customization Options**: Users should be able to customize their experience by choosing themes, changing languages, and adjusting settings through a simple configuration file managed by the 'aix' package.

### How to Utilize 'aix':
- **Natural Language Processing**: Leverage 'aix' for advanced NLP capabilities to improve query understanding and response generation.
- **Data Parsing & Understanding**: Use 'aix' to parse external data sources like weather APIs and interpret them in a meaningful way.
- **User Interaction Enhancements**: Enhance the interaction between the user and the app by using 'aix' to better understand user commands and preferences.
- **Integration & Customization**: Employ 'aix' to integrate different functionalities seamlessly and allow for easy customization options for the end-user.

💬 Discussion Feed

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