aqora-cli

v0.25.1 suspicious
4.0
Medium Risk

The aqora command line interface

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits shell execution, which could indicate legitimate functionality or potential risks. Incomplete metadata adds to the uncertainty.

  • Shell execution observed
  • Incomplete metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Shell execution is observed, possibly for local system operations, but requires further investigation to confirm legitimate use.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Low risk but requires further investigation due to incomplete author information and low metadata quality.

📦 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-cli 
Your task is to develop a fully functional mini-application named 'AquaLog' using the Python package 'aqora-cli'. AquaLog is designed to monitor water quality parameters in real-time and provide actionable insights for environmental scientists and local authorities. The application will leverage 'aqora-cli' to interact with a simulated water quality monitoring system, collecting data on various parameters such as pH level, dissolved oxygen, turbidity, and temperature.

Here are the key functionalities you need to implement:
1. **Data Collection**: Utilize 'aqora-cli' to connect to a simulated water quality monitoring system. This connection will allow your application to collect real-time data on water quality parameters.
2. **Data Visualization**: Implement a feature within AquaLog that visualizes collected data through graphs and charts. Use matplotlib or seaborn libraries for plotting these visuals. Ensure that users can view trends over time for each parameter.
3. **Threshold Alerts**: AquaLog should alert users when any of the monitored parameters exceed predefined thresholds. These alerts can be sent via email or displayed within the application itself.
4. **Report Generation**: Enable users to generate comprehensive reports based on the collected data. Reports should include statistical summaries, trend analyses, and recommendations for action based on the data.
5. **User Interface**: Although not mandatory, consider developing a simple CLI-based user interface for AquaLog, allowing users to interact with the application more intuitively.

To achieve these functionalities, you will primarily use 'aqora-cli' to handle the interaction with the water quality monitoring system. Additionally, incorporate other relevant Python packages as necessary to support the visualization, alerting, and reporting features. Your goal is to create a robust, user-friendly tool that effectively leverages 'aqora-cli' to enhance water quality management.

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