🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with network usage, shell execution, and obfuscation. However, it has lower metadata quality which might indicate a lack of proper maintenance.

Low network and shell risk
Poor metadata quality

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access to function properly.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The package contains non-HTTPS links and lacks a maintainer's contact information and PyPI classifiers, indicating low effort or poor metadata quality.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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: agently.tech>

⚠ Suspicious Page Links score 6.0

Found 3 suspicious link(s) on the package page

Non-HTTPS external link: http://127.0.0.1:15596/`
Non-HTTPS external link: http://127.0.0.1:15596/observation/ingest`
Non-HTTPS external link: http://127.0.0.1:15596

✓ 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 agently-devtools

Your task is to create a Python-based mini-application named 'Agently Monitor' that leverages the 'agently-devtools' package to enhance developer productivity and system observability. This application will serve as a powerful tool for developers working on projects that utilize the Agently framework, providing real-time insights into the performance and health of their applications.

#### Core Functionality:
1. **Real-Time Monitoring:** Integrate 'agently-devtools' to fetch and display real-time metrics about your application's performance, such as response times, error rates, and request volumes.
2. **Health Checks:** Implement automated health checks that use 'agently-devtools' to periodically verify the status of critical components within your application, alerting you if any issues arise.
3. **Custom Dashboards:** Allow users to create custom dashboards using 'agently-devtools', where they can visualize key performance indicators (KPIs) relevant to their specific needs.
4. **Logging Enhancements:** Utilize 'agently-devtools' to enrich logging outputs with contextual information, making it easier to diagnose issues and understand user behavior.
5. **Alert Notifications:** Set up customizable alert notifications based on predefined thresholds using 'agently-devtools'. These alerts should notify users via email or SMS when certain conditions are met.

#### Suggested Features:
- Support for multiple monitoring profiles to cater to different environments (development, staging, production).
- Integration with popular notification services like Slack, PagerDuty, or Email.
- Historical data storage and analysis capabilities, allowing users to review past performance trends over time.
- User-friendly interface for configuring and managing monitoring settings.
- Compatibility with various deployment scenarios, including cloud platforms and local servers.

#### How to Use 'agently-devtools':
- For Real-Time Monitoring, use 'agently-devtools' to establish connections to your application and continuously pull metric data.
- To perform Health Checks, leverage 'agently-devtools' APIs to execute diagnostic tests and evaluate outcomes against expected standards.
- Custom Dashboards can be constructed by mapping 'agently-devtools' data sources to visualization tools like Plotly or Matplotlib.
- Enhance logging by integrating 'agently-devtools' log parsers to extract meaningful information from raw logs.
- Configure Alert Notifications through 'agently-devtools' event listeners, which trigger actions based on observed conditions.

Your goal is to develop a robust and flexible tool that not only meets these requirements but also offers a smooth user experience, ensuring that developers can effectively monitor and maintain the health of their applications.