🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risk due to its use of obfuscation techniques and low maintainer activity, which could indicate potential malicious intent or supply-chain compromise.

High obfuscation risk
Low maintainer activity

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no immediate signs of executing external commands.
Obfuscation: The use of base64 and rot13 encoding suggests an attempt to obfuscate code, which could be malicious but may also serve legitimate purposes such as data protection.
Credentials: No clear patterns indicative of credential harvesting were detected.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, which could indicate potential risks.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1073 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

13 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 25 commits in 9hannahnine-jpg/arc-gate-mcp
Single author but highly active (25 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

try: decoded = base64.b64decode(chunk).decode('utf-8', errors='ignore') if len(d
try: variants.append(codecs.decode(text, 'rot13')) except Exception: pass for variant in v

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

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 arc-gate-mcp

Develop a real-time monitoring and governance system for microservices using the 'arc-gate-mcp' package. This system will serve as a middleware layer between microservices, enabling runtime governance of their interactions. Your task is to create a small-scale, fully functional application that demonstrates key features of 'arc-gate-mcp'. Here’s a detailed plan for your project:

1. **Setup Environment**: Begin by setting up a Python virtual environment and installing the 'arc-gate-mcp' package along with other necessary dependencies such as Flask for creating a RESTful API.
2. **Define Microservices Interface**: Create two mock microservices that interact with each other. These services should simulate common operations like user authentication and data retrieval.
3. **Implement Governance Logic**: Use 'arc-gate-mcp' to implement governance logic that includes rate limiting, circuit breaking, and request validation for the interactions between these microservices.
4. **Real-Time Monitoring**: Integrate real-time monitoring capabilities into your application. Display metrics such as request count, error rates, and latency on a simple dashboard.
5. **User Interface**: Develop a basic web interface using HTML/CSS/JavaScript that allows users to view the current status of microservice interactions, including any alerts or warnings generated by the governance rules.
6. **Testing and Validation**: Write tests to ensure that the governance rules are correctly applied under different scenarios. Validate that the system behaves as expected when traffic exceeds thresholds or when simulated failures occur.
7. **Documentation**: Provide comprehensive documentation detailing how the system works, how it was built, and how it can be extended or modified.

This project aims to showcase the capabilities of 'arc-gate-mcp' in managing complex microservice architectures while ensuring robustness and reliability through dynamic governance policies.