arcapprove-bendex

v0.1.0 safe
2.0
Low Risk

Human-in-the-loop approvals for AI agent actions — Bendex Geometry

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity with low risks in both network and shell execution categories. It appears to be designed for human-in-the-loop approvals without requiring external communications.

  • Low network risk
  • No shell execution detected
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or unauthorized system access.

📦 Package Quality Overall: Low (3.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

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

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in 9hannahnine-jpg/arc-gate
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • ck_token = slack_token or os.environ.get("SLACK_BOT_TOKEN", "") self.slack_channel = slack_channel
✓ 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 9hannahnine-jpg/arc-gate appears legitimate

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 arcapprove-bendex 
Create a fully-functional mini-application named 'GeoGuard' that integrates the 'arcapprove-bendex' package to manage human-in-the-loop approvals for AI agent actions specifically related to geometry tasks. This application will serve as a bridge between AI-driven geometry calculations and human oversight, ensuring that the results of these calculations are accurate and safe before being implemented.

Step-by-Step Guide:
1. Initialize the project environment with necessary dependencies including 'arcapprove-bendex'.
2. Design the user interface to allow users to input geometric problems and review proposed solutions from the AI agent.
3. Implement the core functionality where the AI agent performs calculations based on user inputs. Use 'arcapprove-bendex' to send these calculations to a human approver for verification.
4. Develop a feedback mechanism within the 'arcapprove-bendex' workflow that allows human approvers to either approve or reject the AI's calculations, providing reasons for rejection if necessary.
5. Integrate a logging system to record all actions, approvals, and rejections for auditing purposes.
6. Ensure the application supports multiple approvers and can handle concurrent requests efficiently.
7. Test the application thoroughly to ensure reliability and accuracy.
8. Document the setup process, usage instructions, and troubleshooting tips for end-users.

Suggested Features:
- User authentication and authorization to control who can submit geometry problems and who can approve solutions.
- Real-time notifications for both problem submitters and approvers.
- Detailed reports on approval history and performance metrics.
- A sandbox mode for testing without impacting real data.
- Integration with popular geometry calculation APIs to enhance the AI's capabilities.

The 'arcapprove-bendex' package will be primarily used to facilitate the human-in-the-loop approval process, ensuring that every geometry calculation made by the AI is vetted by a human before it is finalized. This will include setting up approval workflows, handling approval requests, and managing communication between the AI and human approvers.

💬 Discussion Feed

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