algorepo

v0.1.1 suspicious
6.0
Medium Risk

CLI utility for parsing and managing algorithmic problems from platforms like LeetCode and CodeWars

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high risks related to shell execution and code obfuscation, which are concerning indicators. However, it does not show any direct evidence of malicious intent or credential theft.

  • High shell risk due to use of subprocess.run
  • Significant obfuscation risk
Per-check LLM notes
  • Network: GET and POST requests to REST and GraphQL URLs may be normal for packages that interact with APIs.
  • Shell: Use of subprocess.run can execute arbitrary commands, posing a risk if not properly sanitized or controlled.
  • Obfuscation: The code snippet shows signs of obfuscation which could be used to hide logic or evade detection, raising suspicion.
  • Credentials: No clear evidence of credential harvesting is present in the provided snippet.
  • Metadata: The author has only one package, which may indicate a new or less active maintainer, but no other red flags are present.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 13 test file(s) found

  • 13 test file(s) detected (e.g. test_aggregator.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6649 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

  • 90 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 30 commits in elsmirroad/algorepo
  • Single author but highly active (30 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • try: response = httpx.get( url=f"{self.REST_URL}/{slug}",
  • try: response = httpx.post( url=self.GRAPHQL_URL, json=
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • cted)) return __import__("numpy").array_equal(res, expected) elif type(expected)
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • r""" try: subprocess.run([self.config.editor, str(filepath)]) except FileNotF
  • .""" try: subprocess.run(cmd, check=True, cwd=cwd) except subprocess.CalledPr
  • "-lm"] result = subprocess.run(compile_cmd, capture_output=True, text=True) if
  • try: subprocess.run(compile_cmd, check=True, capture_output=True, text=True)
  • version_out = subprocess.check_output(["dotnet", "--version"], text=True).strip()
  • # Compile subprocess.run(["javac", str(runner_java)], check=True, capture_output=True
✓ 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

Repository elsmirroad/algorepo appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "algorepo authors" 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 algorepo 
Your task is to develop a command-line tool that assists developers in organizing and tracking their progress on algorithmic problems from various coding challenge platforms such as LeetCode and CodeWars. This tool will leverage the 'algorepo' package, which provides functionalities to parse and manage these problems efficiently. Your goal is to create a comprehensive application that not only fetches problems but also allows users to mark them as solved, track their difficulty levels, and generate summaries of their progress over time.

### Project Requirements:
1. **Problem Fetching**: Integrate the 'algorepo' package to fetch algorithmic problems from both LeetCode and CodeWars. Ensure the application can handle different problem types and categories.
2. **Progress Tracking**: Allow users to mark problems as solved or unsolved directly within the application. Store this information locally or in a database.
3. **Difficulty Management**: Implement a feature where users can rate the difficulty of each problem they solve. This should help in generating personalized learning paths.
4. **Summary Reports**: Create a reporting module that generates summary reports based on user activity. These reports should include details such as total problems attempted, solved, unsolved, average difficulty level, etc.
5. **User Interface**: Design a clean and intuitive command-line interface that makes it easy for users to interact with the application. Include options for adding, removing, and viewing problems, as well as marking them as solved or unsolved.
6. **Database Integration**: Consider integrating a lightweight database (such as SQLite) to store user data persistently.
7. **Customization Options**: Offer customization options allowing users to set preferences such as default problem sources (LeetCode, CodeWars), preferred difficulty levels, etc.
8. **Help and Documentation**: Provide clear documentation and help commands within the application to assist new users.

### Utilizing 'algorepo':
- Use 'algorepo' to parse problem data from LeetCode and CodeWars.
- Utilize 'algorepo' to manage the local storage of fetched problems and their statuses (solved/unsolved).
- Explore additional functionalities provided by 'algorepo' to enhance the application's capabilities.

### Deliverables:
- A fully functional command-line tool built using Python and the 'algorepo' package.
- Comprehensive documentation covering installation, setup, and usage instructions.
- Sample usage scenarios demonstrating the application's key features.
- A README file detailing the project structure, dependencies, and any additional notes.

This project aims to provide a robust solution for developers looking to streamline their practice of solving algorithmic challenges and track their progress effectively.

💬 Discussion Feed

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