🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate network risk due to potential external communications and lacks detailed metadata such as a repository link and maintainer information.

moderate network risk
sparse metadata

Per-check LLM notes

Network: The use of httpx.Client indicates network requests which may be legitimate for certain functionalities but could also indicate potential data exfiltration or C2 communication.
Shell: No shell execution patterns were detected, indicating low risk for direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The repository is not found and the maintainer's information is sparse, indicating potential risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

ls).""" try: with httpx.Client( base_url=base_url.rstrip("/"), timeout=timeout,
)``.""" try: with httpx.Client( base_url=base_url.rstrip("/"), timeout=timeout,
return try: with httpx.Client( base_url=base_url.rstrip("/"), cook
uuid.uuid4().hex} return httpx.Client( base_url=ctx.base_url.rstrip("/"), cookies=

✓ 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

Email domain looks legitimate: exosphere.host>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agenteye

Create a monitoring tool called 'AgentWatcher' using the Python package 'agenteye'. This tool will allow users to monitor their system resources and services in real-time via the AgentEye dashboard API. The goal is to provide an easy-to-use interface for viewing CPU usage, memory usage, disk space, network activity, and service statuses. Users should be able to set up alerts for critical conditions such as high CPU load, low disk space, or failed services. Additionally, the tool should log all monitoring data to a local file for historical analysis.

Step-by-Step Instructions:
1. Set up the environment by installing the 'agenteye' package and any other necessary Python libraries.
2. Design a command-line interface (CLI) where users can configure which metrics to monitor and set thresholds for alerts.
3. Implement a function that periodically fetches the current status of the system resources and services from the AgentEye dashboard API using the 'agenteye' package.
4. Integrate alert functionality that sends notifications when the monitored metrics exceed the user-defined thresholds.
5. Log all collected data into a CSV file for later review and analysis.
6. Ensure the application runs continuously in the background, checking the system every minute.
7. Provide options for users to start, stop, and restart the monitoring process.

Suggested Features:
- User-friendly CLI with clear prompts and help documentation.
- Ability to add multiple hosts/services for monitoring.
- Customizable alerting thresholds for different types of metrics.
- Support for different notification methods (email, SMS).
- Historical data logging with date/time stamps.
- Option to generate summary reports based on logged data.

How 'agenteye' is Utilized:
- Use 'agenteye' to authenticate with the AgentEye dashboard API and fetch the required monitoring data.
- Leverage the package's functions to interact with the API endpoints for retrieving system resource and service statuses.
- Implement error handling for cases where the API might not be reachable or returns unexpected responses.