arcsolve

v0.1.0 suspicious
4.0
Medium Risk

Bundle the public APIs of popular services as MCP tools and Claude Skills, verified against official contracts (FastMCP).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in network, shell, obfuscation, and credential areas but raises concerns due to the newness and lack of activity in the repository along with the maintainer's limited history.

  • Repository is new with no activity
  • Maintainer has limited history
Per-check LLM notes
  • Network: Network calls are expected if the package is designed to fetch or interact with external resources. However, it's important to verify the legitimacy of these interactions.
  • Shell: No shell execution patterns detected, which is normal and expected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is new with no activity, and the maintainer has limited history, indicating potential risk.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (8368 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

  • 304 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 47 commits in ArcSolver/ArcSolve-Kit
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • ink"). """ async with httpx.AsyncClient(timeout=timeout, transport=transport) as client: r =
  • 수 있다. """ async with httpx.AsyncClient(timeout=timeout, transport=transport) as client: r =
  • nt_secret} async with httpx.AsyncClient(timeout=_TIMEOUT, transport=self.transport) as client:
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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 score 5.0

Git history flags: Repository created very recently: 6 day(s) ago (2026-06-01T07:45:27Z)

  • Repository created very recently: 6 day(s) ago (2026-06-01T07:45:27Z)
  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "ArcSolver" 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 arcsolve 
Create a Python-based mini-app that serves as a personal task manager using the 'arcsolve' package. This app will integrate seamlessly with various cloud services to manage tasks across different platforms. Here's a detailed breakdown of the project requirements and steps:

1. **Project Overview**: Develop a command-line interface (CLI) application named 'TaskMaster' that allows users to create, update, delete, and track their daily tasks. It should also allow users to sync these tasks with multiple cloud services for cross-platform management.

2. **Features**:
   - User Authentication: Allow users to sign in via OAuth 2.0 with Google, Microsoft, or other supported services.
   - Task Management: Enable users to add new tasks, mark them as completed, and delete unnecessary ones.
   - Sync Functionality: Integrate with cloud storage services like Google Drive or OneDrive to automatically save and retrieve task lists.
   - Notifications: Use email or SMS to notify users about upcoming deadlines.
   - Reporting: Provide weekly reports summarizing completed and pending tasks.

3. **Utilizing 'arcsolve'**:
   - Use 'arcsolve' to bundle and verify API calls to the aforementioned services, ensuring secure and reliable interactions.
   - Implement 'arcsolve' tools to streamline the authentication process and data synchronization between the user's local task list and cloud services.

4. **Implementation Steps**:
   - Set up your development environment with Python 3.x and install necessary packages including 'arcsolve'.
   - Design the CLI interface using standard input/output methods.
   - Implement user authentication logic using 'arcsolve' to securely connect to external services.
   - Develop task management functionalities allowing CRUD operations on tasks.
   - Integrate cloud storage services for saving and retrieving task lists.
   - Add notification and reporting features to enhance user experience.

5. **Testing and Deployment**:
   - Test all functionalities thoroughly, ensuring security and reliability.
   - Deploy the application to a platform like GitHub or PyPI for wider distribution.

This project aims to showcase the capabilities of 'arcsolve' while providing a practical solution for personal task management.

💬 Discussion Feed

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