ark-sdk

v0.1.63 safe
4.0
Medium Risk

Python SDK for ARK - Agentic Runtime for Kubernetes

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks as it does not engage in network calls, shell executions, or obfuscation techniques. However, the metadata risk slightly increases due to sparse author details.

  • No network calls detected
  • Sparse author details
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
  • Shell: No shell execution detected, indicating the package does not execute system commands, reducing potential risks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's details are sparse, suggesting potential unreliability.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://mckinsey.github.io/agents-at-scale-ark
  • Detailed PyPI description (2554 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 17 unique contributor(s) across 100 commits in mckinsey/agents-at-scale-ark
  • Active community — 5 or more distinct contributors

🔬 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

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: quantumblack.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mckinsey/agents-at-scale-ark appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 ark-sdk 
Create a Python-based mini-application that leverages the 'ark-sdk' package to manage and monitor workloads in a Kubernetes environment. Your application should be able to deploy, scale, and retrieve status of pods running within a specified namespace. Additionally, it should offer functionalities such as logging and metrics collection for these pods.

### Core Features:
1. **Pod Deployment**: Allow users to specify a Docker image and desired number of replicas to deploy a pod. Use the `ark-sdk` to interact with the Kubernetes API server for deployment.
2. **Pod Scaling**: Implement functionality to scale up or down the number of replicas for a given pod.
3. **Status Retrieval**: Fetch and display the current status of deployed pods, including details like pod name, phase, and conditions.
4. **Logging & Metrics**: Integrate with Kubernetes logs and metrics APIs to provide real-time logging and performance metrics for each pod.

### Advanced Features (Optional):
- Implement a UI dashboard using Flask or Django to visualize the collected data and control the pods.
- Add support for deploying and managing services alongside pods.
- Include automated health checks for deployed pods based on custom criteria.

### Utilizing 'ark-sdk':
- Use the `ark-sdk` package to establish a connection with your Kubernetes cluster.
- Leverage its methods for interacting with the Kubernetes API to perform CRUD operations on pods and other resources.
- Explore the `ark-sdk` documentation to understand how to fetch and manipulate resource configurations and states efficiently.

Your goal is to create a robust, user-friendly tool that simplifies Kubernetes management tasks and showcases the capabilities of the 'ark-sdk' package.

💬 Discussion Feed

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