AI Analysis
The package shows minimal signs of risk with no evidence of malicious activities such as shell execution or credential harvesting. The incomplete metadata suggests potential unreliability but does not indicate a supply-chain attack.
- Low risk in all categories except metadata.
- Incomplete author information.
Per-check LLM notes
- Network: The observed network calls are typical for SDKs that interact with remote services, indicating legitimate API communication.
- Shell: No shell execution patterns were detected, suggesting no risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete and they may be new or inactive, but there are no other red flags.
Package Quality Overall: Medium (5.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://gramaziokohler.github.io/antikytheraDetailed PyPI description (2032 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
272 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 100 commits in gramaziokohler/antikytheraTwo distinct contributors found
Heuristic Checks
Found 3 network call pattern(s)
encode("utf-8") req = urllib.request.Request(endpoint, data=data, headers={"Content-Type": "applitry: with urllib.request.urlopen(req) as res: body = res.read().decod) -> httpx.Client: return httpx.Client(base_url=_api_base, timeout=30.0) # ----------------------
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: arch.ethz.ch>
All external links appear legitimate
Repository gramaziokohler/antikythera appears legitimate
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
Your task is to develop a futuristic home automation system named 'Elysium Hub' using the 'antikythera-sdk' Python package. This system should be able to control various smart devices around your house, monitor environmental conditions, and even manage household tasks such as scheduling cleaning robots or adjusting lighting based on time of day and user preferences. ### Core Features: 1. **Device Control:** Users should be able to control smart devices like lights, thermostats, and security systems through a simple command-line interface (CLI) or a web-based dashboard. 2. **Environmental Monitoring:** Integrate sensors to monitor temperature, humidity, air quality, and light levels. These readings should be displayed in real-time and can trigger automated responses, such as turning on a fan if the room becomes too hot. 3. **Task Scheduling:** Implement a scheduler that allows users to set up recurring tasks, such as having the vacuum cleaner run at specific times, or adjusting the heating schedule according to the week's weather forecast. 4. **User Profiles:** Allow different profiles for each family member, with customizable settings for preferred temperatures, lighting, and device usage patterns. 5. **Voice Command Integration:** Integrate voice commands via a virtual assistant like Alexa or Google Assistant to allow hands-free control over Elysium Hub. ### Utilizing 'antikythera-sdk': - Use 'antikythera-sdk' to manage the processes that control your smart devices and handle environmental monitoring. It will act as the backbone of your automation system, coordinating actions between different components. - For example, you might use 'antikythera-sdk' to create a process that checks the current temperature and humidity levels against user-defined thresholds, then adjusts the HVAC system accordingly. - Additionally, leverage 'antikythera-sdk' to schedule and manage tasks. For instance, setting up a routine where the lights dim automatically at sunset could be handled efficiently with this package. ### Development Steps: 1. Set up a Python environment and install 'antikythera-sdk'. 2. Design the CLI and web dashboard interfaces for user interaction. 3. Connect and configure supported smart devices and sensors. 4. Develop the logic for monitoring environmental conditions and controlling devices. 5. Implement the task scheduler and user profile management system. 6. Test the integration of voice commands. 7. Deploy and refine the system based on user feedback. This project not only showcases the capabilities of 'antikythera-sdk' but also provides a practical solution for making homes smarter and more efficient.