axc-agent-engine

v2.2.0 safe
4.0
Medium Risk

Agent execution engine with Plan-Observe-Replan (POR) and plugin architecture

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with minimal risks identified. The network and metadata risks are minor and do not strongly indicate a supply-chain attack.

  • Low risk scores across all categories except for network and metadata.
  • No evidence of malicious behavior or supply-chain attack vectors.
Per-check LLM notes
  • Network: The presence of network calls is common for packages that require external services or APIs, but the specific implementation should be reviewed for security practices.
  • Shell: No shell execution patterns were detected, which is positive from a security standpoint.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not pose a threat for stealing secrets.
  • Metadata: The maintainer has only one package, suggesting a new or less active account which may warrant further investigation.

📦 Package Quality Overall: Low (4.4/10)

◈ 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/axclogo/AxcAgentEngine#readme
  • Detailed PyPI description (16342 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

  • 292 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 13 commits in axclogo/AxcAgentEngine
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • elf._client self._client = httpx.AsyncClient( base_url=self._config.base_url.rstrip("/"), headers
✓ 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

Repository axclogo/AxcAgentEngine appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AxcTeam" 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 axc-agent-engine 
Develop a smart home automation system using the 'axc-agent-engine' Python package. This system will allow users to automate various tasks around their homes based on specific conditions or schedules, utilizing sensors and devices connected via IoT. Here’s a detailed breakdown of the project requirements:

1. **System Overview**: Create a user-friendly interface where users can configure their home automation scenarios. These scenarios will involve actions like turning lights on/off, adjusting thermostat settings, or initiating security checks.

2. **Core Features**:
   - **Plan-Observe-Replan (POR) Cycle**: Implement a cycle where the system plans actions based on user configurations, observes the outcomes (e.g., whether a light was successfully turned off), and replans if necessary (e.g., if the light did not turn off as expected).
   - **Plugin Architecture**: Allow for easy integration of different types of IoT devices and sensors through plugins. For example, support for Philips Hue lights, Nest thermostats, and Ring doorbells.
   - **User Interface**: Develop a simple web-based UI where users can set up and manage their automation scenarios. This UI should also display real-time status updates of the home's systems.

3. **Implementation Steps**:
   - **Step 1**: Set up the development environment and install the 'axc-agent-engine'. Understand its core functionalities and how it supports POR cycles and plugin architectures.
   - **Step 2**: Define the basic structure of your smart home automation system, including classes for agents that represent each IoT device or sensor, and a main controller that orchestrates the POR cycle.
   - **Step 3**: Integrate plugins for supported IoT devices. Each plugin should communicate with its respective device/sensor according to the device's API or protocol.
   - **Step 4**: Implement the POR cycle within your system. Ensure that the system can plan actions based on user-defined rules, observe the results, and adjust plans accordingly.
   - **Step 5**: Build a user interface that allows users to interact with the system easily. Users should be able to set up new scenarios, view the status of their home systems, and receive notifications about any issues.

4. **Deliverables**:
   - A fully functional smart home automation system capable of handling multiple IoT devices and sensors.
   - Detailed documentation explaining the implementation of 'axc-agent-engine', the POR cycle, and the plugin architecture.
   - A user manual for end-users to help them set up and use the system effectively.

This project aims to showcase the capabilities of 'axc-agent-engine' in creating adaptable and intelligent systems that can handle complex environments like smart homes.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!