arbiter-ops

v1.0.5 suspicious
4.0
Medium Risk

AIOps substrate · 9-plane hexagonal decomposition · pluggable adapters · audit-port primitive · alignment patterns for ISO 42001 / NIST AI RMF / EU AI Act / DORA

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package presents a moderate level of risk due to its unknown repository and single-package maintainer, which could suggest potential supply-chain risks.

  • Metadata risk due to unverified repository
  • Single-package maintainer raises suspicion
Per-check LLM notes
  • Network: The presence of network calls is not inherently suspicious but should be reviewed to ensure they align with the package's intended functionality.
  • Shell: No shell execution patterns were detected, which is expected and indicates a lower risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found and the maintainer has only one package, which may indicate a new or less active account, raising some suspicion.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/mjayason/arbiter-ops/tree/main/docs
  • Detailed PyPI description (11696 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

  • 234 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • onstructor: http_client httpx.AsyncClient (test harness injects a mock transport) base_url def
  • ient, # httpx.AsyncClient (or compatible) base_url: str = _DEFAULT_BASE_URL,
✓ 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 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "arbiter-ops 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 arbiter-ops 
Create a fully functional mini-application that leverages the 'arbiter-ops' package to manage and monitor the performance of various IT operations within a simulated enterprise environment. This application will serve as a proof-of-concept for AIOps capabilities, focusing on compliance with ISO 42001, NIST AI RMF, EU AI Act, and DORA standards. The application should include the following core functionalities:

1. **Hexagonal Decomposition**: Implement a system architecture that decomposes the application into 9 distinct planes, each responsible for a different aspect of operation management such as monitoring, logging, alerting, etc.
2. **Pluggable Adapters**: Design the application to support multiple data sources and services through a modular approach, allowing for easy integration and replacement of components.
3. **Audit-Port Primitive**: Integrate an audit feature that records all interactions and changes within the system, ensuring transparency and traceability.
4. **Compliance Alignment**: Ensure that the application adheres to the specified compliance frameworks by implementing relevant policies and procedures within its design.
5. **Real-Time Monitoring**: Develop real-time monitoring tools that provide insights into the health and performance of IT operations, enabling proactive management.
6. **Alerting System**: Create an alerting mechanism that triggers notifications based on predefined conditions or anomalies detected in the monitored systems.
7. **User Interface**: Build a simple yet effective user interface that allows administrators to view system status, configure settings, and manage alerts.

The application should demonstrate the flexibility and robustness of the 'arbiter-ops' package while providing practical value in managing and optimizing IT operations. Additionally, include documentation that explains how each component of the application relates to the core features of 'arbiter-ops', and how these features contribute to overall system efficiency and compliance.

💬 Discussion Feed

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