🤖 AI Analysis

Final verdict: SAFE

The package appears to be primarily for local development and testing with minimal risks identified. The network calls and shell executions seem benign, related to typical operations for CLI tools managing containerization and version control.

Low network and shell execution risks
No obfuscation or credential harvesting detected
Potential low maintenance effort noted but not conclusive evidence of malicious intent

Per-check LLM notes

Network: The network call is likely for checking loopback URL, possibly for local development or testing purposes.
Shell: Shell execution seems to be for Docker and Git operations, which are common for CLI tools managing containerization and version control.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintenance and effort, which could indicate potential risk.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

Test runner config found: conftest.py
10 test file(s) detected (e.g. conftest.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (10779 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 5.0

Partial type annotation coverage

152 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 score 1.5

Found 1 network call pattern(s)

> bool: try: with urllib.request.urlopen(url, timeout=2.0) as resp: # noqa: S310 (loopback U

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

dx() -> None: completed = subprocess.run( ["docker", "buildx", "version"], # noqa: S607
return 0 completed = subprocess.run(list(cmd), check=False) # noqa: S603 return completed.r
""" try: result = subprocess.run( ["git", "rev-parse", "--show-toplevel"], # noq
{' '.join(cmd)}") return subprocess.Popen(cmd, cwd=str(cwd)) # noqa: S603 # -----------------------
outExpired, OSError): subprocess.run( # noqa: S603 [docker, "compose", "down"],
st(ctx.args)] completed = subprocess.run(cmd, cwd=str(cwd), check=False) # noqa: S603 raise type

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: apache.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agentseek-cli

Create a comprehensive project management tool using the 'agentseek-cli' Python package. This tool will streamline the process of managing multiple projects from inception to deployment. The application should include the following key functionalities:

1. **Project Initialization**: Allow users to scaffold new projects using templates provided by 'agentseek-cli'. Users should be able to specify project types, such as web applications, data analysis projects, or machine learning models.
2. **Development Environment Setup**: Automatically set up the development environment required for the project type specified during initialization. This includes installing necessary dependencies and setting up any required configurations.
3. **Build Process Automation**: Implement a feature that allows users to build their projects with a single command. This should handle tasks like compiling code, running tests, and generating documentation.
4. **Deployment Management**: Provide options for deploying projects to various platforms, such as cloud services (AWS, Azure), containerization platforms (Docker), or hosting services (Heroku). Users should be able to choose their preferred deployment method based on the project type.
5. **Skill Integration**: Enable users to integrate custom skills or plugins into their projects to enhance functionality. These could include tools for version control, continuous integration/continuous delivery (CI/CD), or automated testing frameworks.
6. **API Documentation & Generation**: Automatically generate API documentation for web applications and services, ensuring that all endpoints and methods are clearly described. This should support multiple formats, such as Markdown, HTML, or JSON.

To achieve these goals, you'll need to leverage the core features of 'agentseek-cli', including scaffold, run, build, deploy, skills, and api commands. Your task is to design and implement each of these functionalities, ensuring they are user-friendly and efficient. Additionally, document your implementation process and provide examples of how users can utilize this tool effectively.