🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderately high metadata risk due to missing maintainer information and potential inactivity, combined with an unusually long network timeout which could be indicative of hidden functionality or delays in malicious activities.

High metadata risk due to missing maintainer details
Unusually high network timeout of 480 seconds

Per-check LLM notes

Network: Network calls are common for packages that interact with APIs or external services, but the unusually high timeout of 480 seconds may warrant investigation.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of code being hidden maliciously.
Credentials: No credential harvesting patterns detected, indicating no suspicious activity related to stealing secrets.
Metadata: The maintainer's author name is missing and the account seems new or inactive, indicating low effort or potential malintent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

self._http_client = httpx.AsyncClient(timeout=480.0) self._token_usage_storage = TokenUsag
CONDS) async with httpx.AsyncClient( timeout=timeout, follow_redirects=True

✓ 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 score 3.0

Suspicious email domain flags: Very short email domain: qq.com>

Very short email domain: qq.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository 69gg/Undefined 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 Undefined-bot

Your task is to create a fully functional mini-application using the 'Undefined-bot' package, which is a QQ bot platform featuring cognitive memory architecture and multi-agent Skills through OneBot V11. This bot will serve as an intelligent assistant for a community of tech enthusiasts, providing them with up-to-date information on programming languages, tools, and technologies. Here’s a detailed plan on how to build this application:

Step 1: Setting Up the Environment
- Install Python and ensure it's properly configured.
- Install the 'Undefined-bot' package via pip.
- Set up a new project directory and initialize a virtual environment.

Step 2: Bot Configuration
- Configure your QQ bot using the provided documentation for 'Undefined-bot'.
- Set up the bot to connect to your QQ account and join specified groups.
- Define the bot's initial state, including its name, description, and avatar.

Step 3: Implementing Cognitive Memory Architecture
- Utilize the cognitive memory feature to store and recall information about users, such as their preferences and past interactions.
- Implement a system where the bot learns from user interactions and adapts its responses accordingly.

Step 4: Developing Multi-Agent Skills
- Create multiple skills for the bot, each designed to handle specific tasks or provide certain types of information.
- For example, one skill could fetch and share the latest news in programming, while another could answer common programming questions.
- Ensure these skills are modular and can be updated or expanded independently.

Step 5: Enhancing User Interaction
- Integrate a natural language processing module to improve the bot's ability to understand and respond to user queries.
- Implement a feedback mechanism where users can rate the bot's responses and suggest improvements.

Step 6: Testing and Deployment
- Thoroughly test the bot in a controlled environment to ensure all functionalities work as expected.
- Deploy the bot to a QQ group for real-world testing and gather user feedback.
- Based on feedback, refine and optimize the bot's performance and user experience.

Suggested Features:
- A news aggregator that fetches and summarizes the latest articles related to technology and programming.
- An interactive quiz generator that tests users' knowledge on various programming topics.
- A personal recommendation engine that suggests relevant resources based on user interests and activity history.
- Integration with popular programming forums and platforms to facilitate discussions and sharing of ideas.

By following these steps and incorporating the suggested features, you'll be able to create a versatile and engaging QQ bot that enhances the user experience for tech enthusiasts.