🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across network, shell, obfuscation, and credential fronts. However, the metadata risk due to missing git repository and a new maintainer account raises suspicion, warranting further investigation.

Suspicious metadata risk due to missing git repository.
New maintainer account without a proven track record.

Per-check LLM notes

Network: No network calls detected, which is not unusual but should be confirmed with an understanding of the package's intended functionality.
Shell: No shell executions detected, indicating low risk of immediate system compromise.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Suspicious due to missing git repository and new maintainer account, but no direct evidence of malice.

🔬 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 score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "The AgentForge Authors" 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 agentforge-chat-slack

Create a Slack-based task management tool using the 'agentforge-chat-slack' package. This application will allow users to create, assign, track, and manage tasks directly through Slack channels. Here’s a detailed breakdown of the functionalities and steps to implement the project:

1. **Setup**: Begin by setting up your development environment with Python and installing the necessary packages including 'agentforge-chat-slack'. Ensure you have access to a Slack workspace where you can test the integration.
2. **Integration**: Use the 'agentforge-chat-slack' package to integrate your application with Slack. This includes setting up OAuth tokens and configuring your application to listen to events from Slack.
3. **Task Creation**: Implement functionality for users to create new tasks by sending specific commands in the Slack channel. For example, '/task create