🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks, particularly concerning network and shell interactions, alongside potential obfuscation practices. While there's no definitive evidence of malicious behavior, the combination of these factors raises concerns about its true intentions.

moderate network interaction
potential interaction with local repositories
presence of obfuscated strings

Per-check LLM notes

Network: The network calls seem to be fetching resources which is typical for CLI tools that might require updates or fetch data from remote sources.
Shell: Executing git commands locally indicates the package may interact with local repositories, which could be intended functionality but requires further investigation into its purpose.
Obfuscation: The code snippet shows obfuscated string handling which could be used for hiding logic or data, raising suspicion but not conclusive evidence of malicious intent.
Credentials: No clear patterns indicative of credential harvesting were found in the provided snippet.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, which could indicate potential risks.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

9 test file(s) detected (e.g. test_api.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1321 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

97 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 3.0

Found 2 network call pattern(s)

try: response = httpx.get(url, timeout=10.0, headers=_auth_headers()) resp
b64data), ext response = httpx.get(uri, timeout=30.0, follow_redirects=True) response.raise

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

der else "png" return base64.b64decode(b64data), ext response = httpx.get(uri, timeout=30.0, f

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

str]) -> str: completed = subprocess.run( ["git", *args], cwd=repo_root, capt
ath) -> Path: completed = subprocess.run( ["git", "rev-parse", "--show-toplevel"], cw
str) -> str: completed = subprocess.run( [ "git", "diff",
# init a real git repo subprocess.run(["git", "init"], cwd=tmp_path, capture_output=True, check=Tr
(tmp_path: Path) -> None: subprocess.run(["git", "init"], cwd=tmp_path, capture_output=True, check=Tr

✓ 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 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 assertion-cli

Develop a user-friendly application named 'AssertionChecker' using Python that leverages the 'assertion-cli' package to validate various types of assertions. This application will serve as a versatile tool for developers and QA engineers to test their code snippets against predefined conditions. Here’s a detailed plan on how to approach building this application:

1. **Setup**: Start by installing the 'assertion-cli' package. Ensure your development environment is set up correctly with Python and pip.
2. **Core Functionality**: Implement the main feature which allows users to input a piece of code and specify assertions they want to test. The application should then execute these assertions and return the results.
3. **User Interface**: Design a simple command-line interface (CLI) where users can easily input their code snippets and assertions. The UI should provide clear instructions and feedback.
4. **Feature Enhancements**:
   - **Assertion Types**: Support multiple types of assertions such as equality checks, type checks, truthiness checks, etc.
   - **Custom Assertions**: Allow users to define custom assertions if needed.
   - **Batch Testing**: Provide an option to test multiple assertions at once.
5. **Error Handling**: Implement robust error handling to manage invalid inputs and failed assertions gracefully.
6. **Documentation**: Write comprehensive documentation explaining how to use the 'AssertionChecker' application and how it integrates with the 'assertion-cli' package.
7. **Testing**: Conduct thorough testing to ensure the application works as expected under different scenarios.
8. **Deployment**: Prepare the application for deployment. Consider packaging it as a standalone executable or a Docker container for easy distribution.

The goal is to create a powerful yet intuitive tool that enhances the debugging and validation process for developers and QA engineers.