🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with low risks identified. It does not make network calls and shows no signs of obfuscation or credential harvesting. However, it uses shell commands which need to be justified within its functionality.

Low network risk
Potential unnecessary shell execution
Single package by author

Per-check LLM notes

Network: No network calls were detected, which is normal for many packages.
Shell: Shell execution patterns detected seem to be related to git operations and process checking, which could be part of the package's functionality but warrant further investigation into their necessity.
Obfuscation: No obfuscation patterns detected in the provided snippet.
Credentials: The snippet does not appear to be harvesting credentials but rather discussing a configuration option.
Metadata: The author has only one package, which may indicate a new or less active account.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

ent try: result = subprocess.run( ["git", "rev-parse", "--show-toplevel"],
try: rv = subprocess.run(editor_argv + [str(path)], check=False) except OSErr
""" try: rv = subprocess.run( ["ps", "-o", "command=", "-p", str(pid)],
rn 0 try: proc = subprocess.run(argv, check=False) except FileNotFoundError: pri

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

e don't want to depend on /etc/hosts here, and the only sane configuration that binds to "lo

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository jin-bo/agentao-kanban appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "jin-bo" 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 agentao-kanban

Create a fully-functional mini-application called 'AgentFlow' using the Python package 'agentao-kanban'. This application will serve as a simple yet powerful tool for managing tasks among multiple agents in a distributed system. The goal is to demonstrate how the 'agentao-kanban' package can be used to implement a basic workflow management system with features like task assignment, tracking progress, and reporting.

### Application Requirements:
1. **User Interface**: Develop a clean, user-friendly interface where users can view the Kanban board, assign tasks to different agents, and monitor their status.
2. **Task Management**: Users should be able to create new tasks, assign them to specific agents, and track their progress through various stages (To Do, In Progress, Done).
3. **Agent Assignment**: Implement a feature that allows assigning tasks to different agents dynamically based on availability and workload.
4. **Progress Tracking**: Provide real-time updates on task statuses and allow users to move tasks between columns manually or automatically based on predefined conditions.
5. **Reporting**: Generate reports summarizing completed tasks, pending tasks, and overall efficiency metrics.

### Utilization of 'agentao-kanban':
- Use 'agentao-kanban' to set up the Kanban board structure with at least three columns representing different stages of task completion.
- Integrate 'agentao-kanban' functionalities to manage task transitions smoothly between these stages.
- Leverage the multi-agent capabilities of 'agentao-kanban' to handle task assignments and ensure tasks are processed efficiently across different agents.

### Additional Features (Optional):
- Implement notifications for task updates.
- Allow users to comment on tasks.
- Incorporate a search functionality to find specific tasks quickly.
- Enable exporting reports to CSV or PDF formats.

### Deliverables:
- A fully functional 'AgentFlow' application.
- Detailed documentation explaining the architecture, key features, and usage of the application.
- Sample data demonstrating the application's capabilities.