auraone-sdk

v0.1.1 suspicious
6.0
Medium Risk

Official Python SDK and CLI for the AuraOne hosted API.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risk due to potential obfuscation techniques and signs of abandonment or malice in its metadata.

  • Potential use of base64 encoding for obfuscation
  • Low activity and single contributor indicating possible abandonment or malicious intent
Per-check LLM notes
  • Obfuscation: The use of base64 decoding might indicate an attempt to obfuscate code, but it could also be used for legitimate purposes such as encoding data.
  • Credentials: No suspicious patterns detected for credential harvesting.
  • Metadata: The repository shows signs of being abandoned or potentially malicious due to low activity and single contributor.

📦 Package Quality Overall: Medium (6.0/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • 3 test file(s) detected (e.g. test_client_services.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://www.auraone.ai/resources/docs
  • Detailed PyPI description (1300 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Governance file: governance.py
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 256 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in auraoneai/sdk-python
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • org_id self._client = httpx.Client(timeout=timeout) self._retry_attempts = max(1, retry
  • client self.client = httpx.Client( timeout=httpx.Timeout(timeout), fol
  • client self.client = httpx.AsyncClient( timeout=httpx.Timeout(timeout), fol
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • base64 decoded = base64.b64decode(payload_part) payload = json.loads(decoded.decod
✓ 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 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 2 total
  • Single contributor with only 2 commit(s) — possibly throwaway account
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AuraOne" 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 auraone-sdk 
Create a weather forecasting mini-app using the AuraOne SDK. This app will fetch real-time weather data from AuraOne's API and provide users with detailed weather forecasts for any location they input. The app should include the following features:

1. User Interface: Develop a simple, intuitive user interface using Python's Tkinter library for the graphical elements.
2. Location Input: Allow users to enter the name of a city or zip code for which they want weather information.
3. Weather Data Fetching: Use the AuraOne SDK to make API calls to fetch current weather conditions, including temperature, humidity, wind speed, and more.
4. Forecast Display: Present a five-day weather forecast, displaying the expected high and low temperatures, precipitation chances, and weather conditions for each day.
5. Error Handling: Implement robust error handling to manage issues such as invalid location inputs or network errors during API requests.
6. Data Visualization: Utilize matplotlib to create simple graphs showing temperature trends over the next five days.
7. Notifications: Add functionality to send email notifications about severe weather alerts based on the forecast data.
8. Logging: Incorporate logging to track application events and errors for debugging purposes.

The AuraOne SDK should be utilized for all interactions with the AuraOne API, including making requests to fetch weather data and handling responses. Ensure your application adheres to best practices for Python development, including modular design and documentation.

💬 Discussion Feed

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