AI Analysis
The package shows minimal risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the incomplete maintainer information and lack of community engagement raise concerns about its legitimacy and trustworthiness.
- Incomplete maintainer information
- Lack of community engagement
Per-check LLM notes
- Network: The network call to localhost suggests internal health checking and is likely not indicative of malicious activity.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The maintainer's author information is incomplete, and the repository lacks community engagement, which raises some suspicion.
Heuristic Checks
Found 1 network call pattern(s)
try: resp = urllib.request.urlopen("http://localhost:8000/health", timeout=2)
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: meok.ai>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application named 'AdCraft' that leverages the capabilities of the 'ad-copy-ai-mcp' package from MEOK AI Labs. This application will serve as a tool for digital marketers and advertisers to efficiently generate high-quality ad copies, create multiple variants of ads, and even set up entire advertising campaigns. Hereβs a detailed breakdown of what your 'AdCraft' application should include: 1. **User Interface**: Design a clean, user-friendly interface where users can input basic information about their product/service, target audience demographics, preferred tone, and other relevant details. 2. **Ad Copy Generation**: Utilize the 'ad-copy-ai-mcp' package to automatically generate compelling ad copy based on the inputs provided by the user. Ensure the generated content is tailored to the specified audience and aligns with the desired tone. 3. **Variants Creation**: Allow users to request multiple variations of the generated ad copy. Use the package's functionality to produce several versions of the ad copy, each slightly different but still aligned with the initial specifications. 4. **Campaign Setup**: Provide an option for users to set up an entire advertising campaign using the generated ad copies. This feature should allow users to specify campaign goals, budget, duration, and select channels/platforms where the ads will be published. 5. **Analytics Dashboard**: Include a simple analytics dashboard that tracks performance metrics such as click-through rates, conversion rates, and engagement levels for each ad variant within the campaign. 6. **Export & Share**: Enable users to export the generated ad copies and campaign setups into various formats (e.g., PDF, CSV) and share them via email or social media platforms directly from the application. Your task is to develop this application using Python and integrate it seamlessly with the 'ad-copy-ai-mcp' package. Focus on making the user experience intuitive and the output highly customizable to cater to diverse marketing needs.