🤖 AI Analysis

Final verdict: SAFE

The package is deprecated and redirects to a new package. It poses minimal risk with no network calls, shell executions, obfuscations, or credential risks detected.

Deprecated package
Redirects to a new package
No detected malicious activities

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
Metadata: The author has only one package, which may indicate a new or less active account.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1369 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

✦ High Multiple Contributors 10.0

Active multi-contributor project

5 unique contributor(s) across 100 commits in Azure/agentops
Active community — 5 or more distinct contributors

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Azure/agentops appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AgentOps Toolkit Contributors" 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 agentops-toolkit

Create a mini-application called 'AgentOps Dashboard' that serves as a monitoring tool for a set of predefined agents running various tasks on different machines. This application will utilize the 'agentops-accelerator' package (previously known as 'agentops-toolkit') to manage and monitor these agents efficiently.

The application should have the following functionalities:
1. Agent Registration: Allow users to register new agents by specifying unique identifiers and the type of task each agent performs.
2. Status Monitoring: Continuously monitor the status of registered agents and display their current state (e.g., active, idle, error).
3. Task Scheduling: Enable users to schedule tasks for specific agents at certain times or intervals.
4. Event Logging: Maintain a log of events related to each agent, such as when they start, stop, encounter errors, etc.
5. Notification System: Send alerts or notifications to users via email or SMS if any critical issues arise with the agents.
6. User Interface: Develop a simple yet effective user interface where all the above information is presented in a clear and understandable manner.

How to Utilize 'agentops-accelerator':
- Use the package to create and manage agent configurations.
- Leverage its capabilities for task scheduling and event handling.
- Implement the notification system using the package's built-in alerting mechanisms.
- Ensure that all interactions with agents are performed through the package's API to maintain consistency and reliability.