🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some network interaction risks and concerns over its metadata, such as an unverified repository and a single-package maintainer, which could suggest potential suspicious behavior.

Network calls with configurable base URLs
Repository not found and single-package maintainer

Per-check LLM notes

Network: Network calls with configurable base URLs might be for legitimate API interactions but should be reviewed to ensure they do not lead to unexpected data transfers.
Shell: No shell execution patterns detected, indicating low risk of direct system command misuse.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The repository is not found, and the maintainer has only one package, which may indicate a less established or potentially suspicious activity.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

Test runner config found: conftest.py
Test runner config found: pyproject.toml
4 test file(s) detected (e.g. conftest.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (6423 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

◈ Medium Type Annotations 5.0

Partial type annotation coverage

60 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

= config self._http = httpx.Client( base_url=config.base_url, timeout=t

✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AIMA Labs" 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 aimalabs-cli

Create a mini-application called 'CampaignDirector' using the Python package 'aimalabs-cli'. CampaignDirector is designed to streamline the process of managing voice and WhatsApp marketing campaigns by integrating human, continuous integration (CI), and artificial intelligence (AI) agent interactions. The application should allow users to initiate, monitor, and analyze campaigns directly through the command line interface.

Step-by-step functionality:
1. User authentication: Implement a secure login system where users can authenticate their credentials provided by AIMA Labs.
2. Campaign creation: Allow users to create new campaigns specifying target audience, message content, and delivery method (voice or WhatsApp).
3. Agent selection: Provide options for users to choose between human, CI, or AI agents to handle campaign execution.
4. Real-time monitoring: Develop real-time tracking capabilities that display the status of ongoing campaigns including progress, engagement metrics, and any errors encountered.
5. Analysis and reporting: Enable post-campaign analysis with detailed reports on performance metrics such as conversion rates, engagement levels, and ROI.

Suggested Features:
- Integration with popular CI tools like Jenkins or GitHub Actions for automated campaign deployment.
- Support for multi-language messages to cater to diverse audiences.
- Customizable templates for quick campaign setup.
- Advanced analytics dashboard for deep insights into campaign performance.

Utilizing 'aimalabs-cli':
- Use 'aimalabs-cli' commands to authenticate user credentials and establish a connection with AIMA Labs services.
- Leverage 'aimalabs-cli' for initiating campaigns by passing parameters related to audience targeting and message delivery.
- Monitor campaign progress through 'aimalabs-cli' by fetching real-time data and updating the UI accordingly.
- Employ 'aimalabs-cli' for generating comprehensive reports after each campaign completion, providing valuable feedback for future optimizations.