ap-client

v0.1.12 suspicious
4.0
Medium Risk

Agent Platform API Client & CLI

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to low maintainer activity and poor metadata quality, despite showing no direct malicious intent or shell execution.

  • Low maintainer activity and poor metadata quality suggest potential abandonment or lack of updates.
  • No significant network or shell execution risks identified.
Per-check LLM notes
  • Network: The observed network calls are likely legitimate for downloading resources and managing configurations, but could be monitored for unusual behavior.
  • Shell: No shell execution patterns detected, suggesting low risk of direct system command execution.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, which could indicate potential risk.

📦 Package Quality Overall: Low (3.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
○ 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

  • 224 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 4.5

Found 3 network call pattern(s)

  • config self.session = requests.Session() headers = dict(config.headers) user_agent
  • try: response = requests.get(download_url, timeout=_DOWNLOAD_TIMEOUT, stream=True)
  • raise response = requests.get(public_url, timeout=_DOWNLOAD_TIMEOUT, stream=True)
✓ 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

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 ap-client 
Your task is to create a command-line utility called 'AgentControl' using the Python package 'ap-client'. This tool will allow users to manage agents on an Agent Platform through its API. Your application should be user-friendly and provide robust functionalities to interact with the platform efficiently. Here’s a detailed breakdown of what your application should achieve:

1. **User Authentication**: Implement a login feature where users can authenticate themselves using their credentials provided by the Agent Platform. Use the 'ap-client' package to handle the authentication process seamlessly.
2. **Agent Management**: Provide commands to list all available agents, start or stop specific agents, and retrieve detailed information about any agent. Utilize the 'ap-client' package to communicate with the Agent Platform API for these operations.
3. **Configuration Management**: Allow users to update configuration settings for individual agents. Users should be able to specify which agent they want to modify and what settings need updating. Again, leverage the 'ap-client' package for interfacing with the API.
4. **Logs Retrieval**: Enable users to fetch logs from any agent. This feature should support specifying the time range and log level for more targeted log retrieval.
5. **Health Checks**: Integrate a functionality to perform health checks on agents. This includes checking if an agent is running smoothly and retrieving any associated alerts or warnings.
6. **Documentation and Help**: Ensure your utility has comprehensive documentation and a help command that explains each feature and provides usage examples.

To achieve these functionalities, you will heavily rely on the 'ap-client' package. It offers a client library and command-line interface for interacting with the Agent Platform API. Make sure to explore the official documentation of 'ap-client' to understand its methods and how best to utilize them in your application.

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