🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some potential risks due to its network activity and the fact that the maintainer has only published one package, suggesting it might be from a less experienced or newer developer.

Network risk due to unknown endpoint interactions
Maintainer has only one package, indicating possible new or less active account

Per-check LLM notes

Network: The package makes network calls which may be intended for health checks or API interactions, but further investigation is needed to confirm the legitimacy of these endpoints.
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 maintainer has only one package, which might indicate a new or less active account, but no other suspicious activities are detected.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Brief PyPI description (392 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

51 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

sage try: httpx.get(backend_url, timeout=1) backend_available = True
else: response = httpx.get(f"{backend_url}/api/v2/status/healthcheck", timeout=1)
try: response = httpx.get( url=f"{BACKEND_URL}{endpoint}", hea
t try: response = httpx.post( url=f"{BACKEND_URL}{endpoint}", hea
t try: response = httpx.put( url=f"{BACKEND_URL}{endpoint}", hea
try: response = httpx.delete( url=f"{BACKEND_URL}{endpoint}", hea

✓ 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

Email domain looks legitimate: simplelogin.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Alexander Salge" 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 ai4ce-helpers

Create a mini-application named 'AI4CE Weather Companion' that integrates the 'ai4ce-helpers' package to provide weather forecasts tailored to users' locations using AI4CE backend services. This app will fetch real-time weather data from AI4CE, process it through their advanced AI models for more accurate predictions, and present it in an intuitive way to the user.

The application should include the following features:
1. User Authentication: Allow users to sign up and log in securely.
2. Location Detection: Automatically detect the user's location or allow them to manually input a location.
3. Real-Time Weather Data: Fetch current weather conditions including temperature, humidity, wind speed, and UV index.
4. Forecast Prediction: Use AI4CE's AI models to predict weather conditions for the next 7 days.
5. Personalized Alerts: Send notifications based on user preferences (e.g., high UV index, heavy rain).
6. Interactive Dashboard: Display weather data in a visually appealing dashboard format.
7. Historical Data Review: Provide access to historical weather data for the past month.

Utilize the 'ai4ce-helpers' package as follows:
- For user authentication, use the package's functions to securely manage user data and interactions with the AI4CE backend.
- To detect and process location data, leverage the package's location handling capabilities.
- Fetch real-time weather data and forecast predictions by utilizing the package's functions designed to communicate with the AI4CE backend.
- Implement personalized alerts by integrating the package's alert management system with user preferences.
- For the interactive dashboard, utilize the visualization tools provided by 'ai4ce-helpers' to create an engaging interface.
- Access historical weather data using the package's data retrieval functions.