🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to network and metadata concerns, but lacks clear evidence of malicious intent.

Low activity in the git repository
Maintainer has only one package listed

Per-check LLM notes

Network: Network calls are likely related to downloading attachments and fetching configuration, which is typical for a Microsoft Teams integration.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags such as low activity in the git repository and a maintainer with a single package, indicating potential unreliability.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

3 test file(s) detected (e.g. test_attachments.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1221 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 7.0

Partial type annotation coverage

Classifier: Typing :: Typed
74 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

4 unique contributor(s) across 100 commits in Zetesis-Labs/PayloadAgents
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

n {}, skipped async with httpx.AsyncClient(timeout=ATTACHMENT_DOWNLOAD_TIMEOUT_S) as client: fo
} async with httpx.AsyncClient(timeout=10.0) as client: try: aw
tachments async with httpx.AsyncClient(timeout=30.0) as client: try: aw
e.keys_by_kid async with httpx.AsyncClient(timeout=10.0) as client: config = (await client.get(

✓ 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 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Zetesis Labs" 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 agno-microsoft-teams

Create a fully-functional mini-app that integrates with Microsoft Teams using the 'agno-microsoft-teams' package. This app will serve as a simple task management tool, allowing users to create, update, and delete tasks directly within their Teams chat. Here’s a detailed step-by-step guide on how to build this application:

1. **Setup**: Start by setting up your development environment. Ensure you have Python installed and create a new virtual environment for this project. Install the 'agno-microsoft-teams' package along with other necessary dependencies like Flask for web services.
2. **Authentication**: Configure OAuth 2.0 authentication to allow your app to interact with Microsoft Graph API. Follow Microsoft's documentation to set up the necessary permissions and redirect URIs.
3. **Task Management Features**: Implement the core functionalities of the task manager. Users should be able to:
   - Create new tasks by sending a specific command in the chat, e.g., `/create Task Title`.
   - Update existing tasks by providing a task ID and new details, e.g., `/update <task_id> New Title Description`.
   - Delete tasks by specifying the task ID, e.g., `/delete <task_id>`.
4. **Integration with Agno Agents**: Utilize the 'agno-microsoft-teams' package to handle interactions between the bot and Microsoft Teams. This includes setting up event handlers for message receipt and processing commands accordingly.
5. **User Interface Enhancements**: Improve user experience by adding emojis, buttons, and card attachments to messages. For example, display a confirmation message when a task is successfully created or updated.
6. **Testing**: Thoroughly test your application in a sandboxed environment before deploying it to production. Use Microsoft Teams’ Test Bot service for initial testing.
7. **Deployment**: Once tested, deploy your application to a cloud platform of your choice. Ensure all necessary configurations for running the app in a production environment are completed.

This mini-app not only demonstrates the capabilities of the 'agno-microsoft-teams' package but also provides practical value to its users by integrating task management into their daily communication workflow.