🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential handling but has a high metadata risk due to suspicious activities around the git repository and maintainer history, raising concerns about potential supply-chain attacks.

High metadata risk
Suspicious git repository and maintainer history

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
Metadata: Suspicious activity around the git repository and maintainer history suggests potential risk.

🔬 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 5.0

Git history flags: Single contributor with only 4 commit(s) — possibly throwaway account

Single contributor with only 4 commit(s) — possibly throwaway account
All 4 commits happened within 24 hours

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AgentCulture" 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 agenda-cli

Develop a task management mini-application named 'TaskMaster' using Python and the 'agenda-cli' package. TaskMaster aims to streamline workflow management for software developers by integrating with their GitHub repositories. The app will track work states, set priorities, identify blockers, and manage next actions for each issue or task. Here’s a detailed breakdown of the steps and features required to complete this project:

1. **Setup**: Begin by installing the 'agenda-cli' package and setting up your GitHub API credentials to authenticate TaskMaster.
2. **Integration**: Integrate TaskMaster with GitHub to fetch issues from a user-defined repository. Users should be able to select specific repositories and filter issues based on labels or milestones.
3. **Work State Tracking**: Implement functionality to track the state of each issue (e.g., To Do, In Progress, Done). This should be done through a simple command-line interface where users can easily update the state of any issue.
4. **Prioritization**: Allow users to prioritize tasks by assigning them a priority level (High, Medium, Low). These priorities should influence the order in which issues are displayed and processed.
5. **Blocker Management**: Identify and log blockers for each task. A blocker is something that prevents progress on a task. Users should be able to add, remove, or edit blockers directly from the CLI.
6. **Next Actions**: For each issue, define a 'next action' - a concrete step that needs to be taken to move the issue forward. Users should be able to view and update these actions easily.
7. **Reporting**: Develop a reporting feature that summarizes the current state of all tracked issues, highlighting high-priority items, blockers, and next actions.
8. **User Interface**: Ensure the CLI is intuitive and user-friendly, providing clear prompts and feedback at every step.
9. **Testing**: Write unit tests to ensure each feature functions as expected and that the integration with GitHub works seamlessly.

By leveraging 'agenda-cli', TaskMaster will provide a robust framework for managing tasks and workflows, making it easier for teams to stay organized and focused on their objectives.