🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risks due to potential interactions with external services and cloud platforms, though there's no strong evidence of malicious intent. Further investigation is recommended.

network communication with external services
potential interaction with AWS and GitHub

Per-check LLM notes

Network: The network calls suggest the package is attempting to register or communicate with an external service, which could be legitimate but requires further investigation into its purpose and the destination URL.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: Detection of AWS and GitHub CLI conventions may indicate an attempt to interact with these services but requires further investigation to confirm legitimacy.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

2 test file(s) detected (e.g. test_oauth_refresh.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (4400 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

50 type-annotated function signatures detected in source

○ 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 score 7.5

Found 5 network call pattern(s)

}).encode("utf-8") req = urllib.request.Request( f"{base_url}/oauth/register", data=
, ) try: with urllib.request.urlopen(req, timeout=15) as resp: payload = json
ta).encode("utf-8") req = urllib.request.Request( url, data=body, headers={"C
, ) try: with urllib.request.urlopen(req, timeout=timeout) as resp: return re
o.Lock() self._http = httpx.AsyncClient( base_url=self._base_url, timeout=re

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

the AWS/gh CLI convention (~/.aws/credentials, ~/.config/gh/hosts.yml) so users immediately know what

✓ 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 agentrux-agent-tools

Develop a mini-application named 'AgentHelper' that serves as an intelligent personal assistant for managing daily tasks and information retrieval. This application will leverage the 'agentrux-agent-tools' package to interact with various external services and APIs seamlessly. Here’s a step-by-step guide on how to build this application:

1. **Setup Project Environment**: Initialize your Python environment and install the 'agentrux-agent-tools' package. Additionally, integrate other necessary packages such as Flask for web interactions or FastAPI for API development.

2. **Design Core Functionality**: Define the main functionalities of 'AgentHelper'. These include task management (adding, editing, deleting tasks), setting reminders, and retrieving information from the web or specific APIs.

3. **Utilize 'agentrux-agent-tools'**: Use the 'agentrux-agent-tools' package to call functions from different services without worrying about the underlying framework. For instance, you can use it to fetch weather updates, news headlines, or manage calendar events through Google Calendar API.

4. **Implement Task Management Features**: Allow users to input their daily tasks via a user-friendly interface. Implement features like categorizing tasks by priority or due date, and integrating with a calendar app to set reminders.

5. **Integrate Information Retrieval**: Enable the application to answer queries related to general knowledge, sports scores, stock market updates, etc., by leveraging the 'agentrux-agent-tools' for API calls.

6. **User Interface & Experience**: Design a simple yet effective UI using HTML/CSS/JavaScript for web-based interaction, or create a CLI version if preferred. Ensure the design enhances user experience and accessibility.

7. **Testing & Deployment**: Thoroughly test all features to ensure they work as expected. Deploy the application on a cloud service like Heroku or AWS Lambda, making sure it's accessible to end-users.

8. **Documentation & Support**: Provide comprehensive documentation on how to use 'AgentHelper', including setup instructions and troubleshooting tips. Also, establish a support channel for users to report issues or suggest improvements.

By following these steps and utilizing the powerful capabilities of 'agentrux-agent-tools', 'AgentHelper' will become a versatile tool for anyone looking to streamline their daily activities and access timely information effortlessly.