anytool

v0.3.1 safe
4.0
Medium Risk

Agent-native API integration SDK. Curated specs. Direct execution. Zero wrappers.

🤖 AI Analysis

Final verdict: SAFE

The package poses a relatively low risk with notable concerns only around metadata and network interactions. It lacks evidence of malicious intent such as obfuscation, shell execution, or credential harvesting.

  • Moderate network risk due to interaction with external services
  • Potential issues with maintainer activity and community engagement
Per-check LLM notes
  • Network: The presence of network calls suggests the package interacts with external services, which is common but may indicate potential data exfiltration risks if not properly documented.
  • Shell: No shell execution patterns were detected, indicating low risk for direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of potential new or inactive maintainer activity with no community engagement.

📦 Package Quality Overall: Medium (5.0/10)

◈ 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/ayudo-ai/anytool#readme
  • Detailed PyPI description (8475 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

  • 123 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 83 commits in ayudo-ai/anytool
  • Single author but highly active (83 commits)

🔬 Heuristic Checks

Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • rip("/") self._http = httpx.AsyncClient( timeout=30.0, headers={
  • en_store self._http = httpx.AsyncClient(timeout=30.0) async def get_auth_url( self,
  • y: async with httpx.AsyncClient(timeout=self._timeout) as client: resp =
  • = False self._http = httpx.AsyncClient(timeout=10.0) # ── Trigger Management ─────────────────
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: anytool.dev>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
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 anytool
Create a command-line tool named 'AgentFlow' using the Python package 'anytool'. This tool should facilitate the execution of various agent-native APIs directly without the need for wrapper functions, showcasing the zero-wrappers principle of 'anytool'. The application should allow users to integrate different services like weather data retrieval, news feed updates, and stock market information into their workflows seamlessly.

### Features:
1. **Service Integration**: Users should be able to specify which service they want to integrate (e.g., OpenWeatherMap for weather data, NewsAPI for news feeds, AlphaVantage for stock market data).
2. **Direct Execution**: Implement direct execution capabilities provided by 'anytool', allowing the application to call these services' APIs natively without additional wrapping code.
3. **Curated Specs**: Utilize the curated specifications offered by 'anytool' to ensure that the application adheres to best practices for API integration.
4. **User Interface**: Develop a simple yet effective command-line interface that allows users to input parameters such as API keys, service names, and specific requests (e.g., 'get current weather in New York').
5. **Output Display**: Ensure that the output from the API calls is displayed in a readable format on the console.
6. **Error Handling**: Implement robust error handling to manage issues such as invalid API keys, incorrect service requests, and network failures.
7. **Configuration Management**: Allow users to configure default settings (like preferred units for weather data) through a configuration file.

### Steps to Build:
1. **Setup Environment**: Install necessary packages including 'anytool' and any other dependencies required for interfacing with the chosen APIs.
2. **Design CLI**: Create a command-line interface design that supports user interaction for specifying API requests.
3. **Implement Service Integration**: Use 'anytool' to directly integrate with the specified services based on user inputs.
4. **Develop Core Functionality**: Write the main logic of the application focusing on leveraging 'anytool' for direct API execution.
5. **Configure Output Formatting**: Define how the output from the APIs should be formatted before displaying it to the user.
6. **Test Thoroughly**: Test the application with various scenarios to ensure reliability and accuracy.
7. **Document Usage**: Provide clear documentation on how to use the application, including setting up configurations and running commands.
8. **Finalize and Deploy**: Prepare the application for deployment by packaging it appropriately and making it available for download.

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