🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories analyzed. It does not engage in network calls, shell executions beyond likely version control usage, or any form of obfuscation or credential harvesting.

No network calls
Minimal shell risk due to potential use of git commands
No signs of obfuscation or credential harvesting

Per-check LLM notes

Network: No network calls detected, indicating no direct external communication.
Shell: Git commands are likely used for version control and management within the package's context.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

4 test file(s) detected (e.g. test_cli.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (5827 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

◈ Medium Type Annotations 5.0

Partial type annotation coverage

202 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

r]: try: result = subprocess.run( ["git", "-C", str(root), "rev-parse", "--show-t
r]: try: result = subprocess.run( ["git", "-C", str(root), "diff", "--cached", "-
str]: try: return subprocess.run( ["git", "-C", str(root), *args], ca
root: Path) -> None: subprocess.run(["git", "-C", str(root), "init"], capture_output=True, check
nt, encoding="utf-8") subprocess.run(["git", "-C", str(root), "add", relative_path], capture_outp
processes = [ subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, tex

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "ai-board 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 ai-board

Create a mini-application named 'AI-ProjectManager' using Python and the 'ai-board' package. This application will serve as a local planning board for managing various aspects of an AI-assisted project. It should allow users to create, manage, and track tasks related to their project, including but not limited to brainstorming ideas, setting milestones, assigning tasks, and tracking progress.

The core functionalities of 'AI-ProjectManager' include:
1. User Authentication: Allow users to sign up, log in, and manage their profiles.
2. Project Creation: Users can create multiple projects and set project-specific goals and objectives.
3. Task Management: Within each project, users can create tasks, assign them to team members, set deadlines, and mark them as completed.
4. Milestone Tracking: Users can define milestones for each project and track their completion status.
5. Brainstorming Section: Provide a space where users can jot down ideas and thoughts related to their projects.
6. Integration with 'ai-board': Use the 'ai-board' package to enhance task management and brainstorming sections by providing AI-assisted suggestions and insights based on the input provided by the user.
7. Reporting and Analytics: Generate reports and analytics based on project progress, task completion rates, and other key metrics.

How 'ai-board' is utilized:
- For task management, integrate 'ai-board' to provide AI-generated suggestions for task prioritization and time estimation.
- In the brainstorming section, use 'ai-board' to offer AI-driven idea generation and improvement suggestions.
- Implement 'ai-board' to analyze project data and provide insights into potential bottlenecks and areas for improvement.