argus-code

v0.3.1 suspicious
6.0
Medium Risk

Local-first dashboard for Claude Code cost, token, tool-usage, and full-text search analytics

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high credential risk and shell risk, indicating potential unauthorized access and command execution. Despite no confirmed malicious activity, these risks warrant further scrutiny.

  • High credential risk
  • High shell risk
Per-check LLM notes
  • Network: The HTTP GET request suggests the package may be performing network operations which could be benign but should be reviewed for context.
  • Shell: Executing subprocesses can pose a significant risk if not properly sanitized or controlled, suggesting potential for unauthorized command execution.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: Suspicious behavior detected that may indicate attempts to access sensitive files like /etc/passwd.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 16 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 16 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (13088 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

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

Limited contributor diversity

  • 2 unique contributor(s) across 71 commits in KrishBhimani/argus-code
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • t[str, Any]: r = httpx.get(u, timeout=30.0) r.raise_for_status()
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • ession"] = True proc = subprocess.Popen(daemon_argv(data_dir), **kwargs) return proc.pid d
⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • tile symlink pointing at ``/etc/passwd``). - On Windows, lowercase the comparison since the files
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository KrishBhimani/argus-code appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Krish Bhimani" 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 argus-code 
Your task is to create a fully-functional mini-application called 'ClaudeCodeAnalyzer' using the Python package 'argus-code'. This application will serve as a local-first dashboard to monitor and analyze various aspects of your coding projects with Claude Code, including cost, token usage, tool usage, and provide full-text search capabilities over your codebase. Here’s a detailed breakdown of what your application should achieve:

1. **Setup and Installation**: Start by ensuring that the 'argus-code' package is installed and properly configured on your development environment. Include instructions on how to set up the necessary API keys and configurations.

2. **Dashboard Creation**: Develop a clean and user-friendly dashboard interface that displays key metrics such as total tokens used, cost incurred, and tool usage statistics. Use 'argus-code' to fetch these details from your local storage or any connected data source.

3. **Real-time Monitoring**: Implement real-time monitoring features that update the dashboard dynamically as you write code. This includes tracking token usage and cost in real-time, which should be displayed prominently on the dashboard.

4. **Full-text Search**: Integrate a full-text search feature that allows users to search through their entire codebase efficiently. Users should be able to find specific functions, variables, or comments quickly. Utilize 'argus-code' for indexing and searching through the codebase.

5. **Tool Usage Analytics**: Provide analytics on different tools used within your coding environment. This could include insights into popular tools, time spent using each tool, and more. Use 'argus-code' to gather and present this data effectively.

6. **Reporting and Exporting**: Allow users to generate reports based on the collected data and export them in formats like CSV or PDF. This feature should leverage 'argus-code' for data extraction and formatting.

7. **User Interface Customization**: Offer options for customizing the dashboard layout and appearance. Users should be able to choose themes, add widgets, and rearrange elements according to their preferences.

8. **Security and Privacy**: Ensure that all user data is securely stored and handled. Discuss how 'argus-code' assists in maintaining privacy and security standards.

9. **Documentation and Support**: Create comprehensive documentation for setting up and using 'ClaudeCodeAnalyzer', along with FAQs and a support section.

Remember, the goal is to utilize the core functionalities of 'argus-code' to make 'ClaudeCodeAnalyzer' a powerful yet easy-to-use tool for developers looking to optimize their coding efficiency and resource management.

💬 Discussion Feed

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