🤖 AI Analysis

Final verdict: SAFE

The package ai-img-cli v0.1.5 has been assessed with very low risks across all categories. There are no indications of malicious activities or supply-chain attacks.

No network calls detected
No shell execution patterns
No obfuscation techniques used
No credential harvesting attempts

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external services.
Shell: No shell execution patterns detected, indicating no direct system command execution observed.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Low (2.0/10)

○ 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 (796 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ 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

No suspicious network call patterns found

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ 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 ai-img-cli

Create a command-line tool called 'ImageMuse' that leverages the 'ai-img-cli' package to generate images based on user input descriptions. This tool should enable users to easily create, manage, and customize their image generation process directly from their terminal. Here’s a step-by-step guide to building this tool:

1. **Setup Project**: Initialize a new Python project and install 'ai-img-cli'. Ensure all necessary dependencies are included in a requirements.txt file.
2. **CLI Interface**: Develop a user-friendly command-line interface that allows users to interact with 'ImageMuse'. Users should be able to input text prompts to generate images.
3. **Image Generation**: Integrate 'ai-img-cli' to handle image generation based on user inputs. Allow users to specify parameters such as image size, number of images to generate, etc.
4. **Customization Options**: Implement additional customization options such as setting the style of the generated images (e.g., realistic, cartoonish), adding filters, or specifying background colors.
5. **Batch Processing**: Enable batch processing capabilities where users can submit multiple prompts at once and receive a batch of images as output.
6. **Output Management**: Provide functionality to save the generated images locally or upload them to a cloud storage service (optional).
7. **Help and Documentation**: Include comprehensive help documentation within the CLI to assist users with commands and usage instructions.
8. **Testing and Validation**: Write tests to validate the functionality of 'ImageMuse', ensuring it correctly handles various input scenarios and edge cases.

The goal is to make 'ImageMuse' a versatile tool that simplifies the process of generating images from text descriptions using 'ai-img-cli'.