archetype-py

v0.3.0 suspicious
6.0
Medium Risk

Enforce architectural rules as code. Catch structural violations before they merge.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows potential signs of obfuscation through the use of pickle.loads on binary data, which could be used for executing arbitrary code. While there are no direct indications of malicious intent, the combination of this risky behavior and the sparse metadata about the author warrant further scrutiny.

  • Use of pickle.loads on binary data
  • Sparse author metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Git commands suggest the package interacts with version control systems, likely for internal operations or development purposes.
  • Obfuscation: The use of pickle.loads on read binary data is suspicious and could indicate an attempt to execute arbitrary code.
  • Credentials: No credentials or secrets harvesting patterns detected in the provided snippet.
  • Metadata: The author's information is sparse and the account seems new or inactive, which raises some suspicion but not enough to conclusively determine malice.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 26 test file(s) found

  • Test runner config found: pyproject.toml
  • 26 test file(s) detected (e.g. test_performance_regression.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/MossabArektout/archetype-py
  • Detailed PyPI description (2753 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

  • 251 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 90 commits in MossabArektout/archetype-py
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • e try: payload = pickle.loads(cache_path.read_bytes()) graph, signatures = payload
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • try: completed = subprocess.run( ["git", "-C", str(project_path), *args],
  • try: completed = subprocess.run( [ "git", "log",
  • ude_patterns) completed = subprocess.run( ["git", "diff", "--name-only", "--diff-filter=ACMR"
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository MossabArektout/archetype-py appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 archetype-py 
Create a fully-functional mini-application named 'ArchitecturalGuard' using the Python package 'archetype-py'. This application will serve as a code architecture enforcer for a simple Python web application framework (e.g., Flask). ArchitecturalGuard should monitor a specified directory for changes and ensure that any new or modified files adhere to predefined architectural rules.

### Key Features:
1. **Rule Definition**: Users should be able to define architectural rules such as separation of concerns (e.g., no business logic in view files), naming conventions, and file structure guidelines.
2. **Real-time Monitoring**: Implement real-time monitoring of a specified directory to detect changes in files.
3. **Violation Detection**: When a violation is detected, ArchitecturalGuard should provide detailed feedback about the specific rule that was violated and the location of the violation within the codebase.
4. **Integration with Version Control Systems**: Allow users to integrate ArchitecturalGuard with Git to automatically check for violations before committing changes.
5. **Customizable Reports**: Generate customizable reports summarizing all detected violations and suggestions for improvements.
6. **User Interface**: Develop a basic command-line interface (CLI) for user interaction.

### Utilization of 'archetype-py':
- Use 'archetype-py' to define and enforce architectural rules as part of the development process. For example, you could use it to prevent developers from mixing database access logic with controller logic in a Flask application.
- Integrate 'archetype-py' into the monitoring functionality so that whenever a change is detected, it automatically checks if the new or updated files comply with the defined architectural rules.
- Ensure that 'archetype-py' is utilized in a way that provides actionable feedback to developers, helping them understand and correct their mistakes quickly.

Your task is to design and implement ArchitecturalGuard, ensuring it meets these requirements and effectively leverages 'archetype-py' to maintain high-quality architectural standards in Python web applications.

💬 Discussion Feed

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