astromesh-adk

v0.1.8 suspicious
6.0
Medium Risk

Agent Development Kit for the Astromesh runtime

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high obfuscation risk due to the use of 'eval', which can be exploited for malicious purposes. Additionally, the low level of maintenance effort and the presence of network communication raise concerns about potential misuse.

  • High obfuscation risk due to 'eval'
  • Low maintenance effort
  • Potential network communication
Per-check LLM notes
  • Network: The use of an HTTP client suggests network communication, which may be legitimate but requires further investigation to ensure it is not being used for unauthorized purposes.
  • Shell: No shell execution patterns were detected, indicating a low risk of direct system command execution.
  • Obfuscation: The use of 'eval' with no validation is highly suspicious and could be used for malicious purposes.
  • Credentials: No clear patterns indicative of credential harvesting were detected.
  • Metadata: The package shows low maintenance and effort, which raises some suspicion but not enough to conclusively label it as malicious.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 17 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 17 test file(s) detected (e.g. conftest.py)
○ 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

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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • (self): self.client = httpx.AsyncClient() def parameters(self): return { "u
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • tr: try: result = eval(expression) return str(result) except Exception
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 astromesh-adk 
Create a mini-application named 'AstroTaskMaster' using the 'astromesh-adk' package. AstroTaskMaster will serve as a task management tool specifically designed for space missions, where tasks are assigned, tracked, and completed by different agents on board. Each agent represents a specific role such as a pilot, engineer, or scientist, and each task is related to mission-critical activities like navigation, equipment maintenance, or scientific experiments.

Step 1: Set up your development environment and install the 'astromesh-adk' package.

Step 2: Define the structure of your application, including classes for Agents, Tasks, and the Mission Control Center (MCC). Use 'astromesh-adk' to develop these components, ensuring they can communicate effectively within the Astromesh runtime.

Step 3: Implement functionalities for Agents to receive, update, and complete tasks. This includes methods for Agents to request new tasks, report progress, and mark tasks as completed. Utilize 'astromesh-adk' to manage these interactions efficiently.

Step 4: Develop MCC capabilities to assign tasks to appropriate Agents based on their roles and current workload. Additionally, implement a feature to monitor the status of all tasks and Agents in real-time, providing insights into mission efficiency and potential issues.

Suggested Features:
- Role-based task assignment
- Real-time task updates
- Historical performance tracking
- Alerts for overdue or critical tasks
- Integration with existing space communication protocols

Throughout the development process, leverage the 'astromesh-adk' package's core features to ensure seamless integration and robust functionality of AstroTaskMaster.

💬 Discussion Feed

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