aqora

v0.25.3 suspicious
3.0
Low Risk

The aqora command line interface

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a low risk profile overall, with no network calls, obfuscation, or credential harvesting attempts detected. However, the presence of shell execution commands warrants further investigation to ensure they serve legitimate purposes.

  • Shell execution observed
  • No description provided
Per-check LLM notes
  • Network: No network calls detected, indicating low risk of data exfiltration or command and control communication.
  • Shell: Shell execution observed may be related to package functionality but requires further investigation to confirm legitimate use.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_aqora_client.py)
◈ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/aqora-io/cli
○ 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

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

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in aqora-io/cli
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • try: result = subprocess.check_output( ["aqora", "data", "infer", "--output", "jso
  • (): try: result = subprocess.run( ["sysctl", "-n", "sysctl.proc_translated"], cap
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: aqora.io>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aqora-io/cli appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 aqora 
Create a weather forecasting tool using the 'aqora' Python package. This tool should provide users with current weather conditions and forecasted weather for the next five days. The application should allow users to input a location (city name) and then display relevant weather data such as temperature, humidity, wind speed, and precipitation chances. Additionally, the app should have the capability to save previous searches for quick access and display them in a user-friendly format.

Steps to Build the Application:
1. Install the 'aqora' package if not already installed.
2. Design a simple UI where users can enter a city name and retrieve weather data.
3. Implement functionality to fetch current weather conditions using 'aqora'.
4. Extend the app to fetch and display weather forecasts for the next five days.
5. Add a feature to save past search queries and their results.
6. Allow users to view saved searches and quickly retrieve weather information for previously searched locations.
7. Ensure the application is well-documented and includes error handling for invalid inputs or API failures.

Suggested Features:
- Real-time updates of weather conditions.
- Graphical representation of temperature trends over the next five days.
- Notifications for severe weather warnings based on fetched data.
- Integration with a map service to show the location of the queried city.

How 'aqora' is Utilized:
- Use 'aqora' to interact with weather APIs to fetch real-time and forecasted weather data.
- Leverage 'aqora' to handle data processing and formatting for easy consumption by your application.

💬 Discussion Feed

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