Do I need to manually configure Honeyhive API keys?

No, you simply add the Rube MCP endpoint; authentication is handled via the RUBE_MANAGE_CONNECTIONS tool which provides an auth link if needed.

Why does this skill search for tools before every execution?

It uses RUBE_SEARCH_TOOLS to ensure it has the most current API schemas and tool slugs, preventing errors if Honeyhive's interface or features change.

What is the Honeyhive Automation skill for Claude Code?

It is a specialized skill that allows Claude to perform tasks within the Honeyhive platform, such as managing experiments and evaluations, through the Rube MCP interface.

Can I use this skill for bulk data operations in Honeyhive?

Yes, it supports RUBE_MULTI_EXECUTE_TOOL and RUBE_REMOTE_WORKBENCH for executing complex or batch operations efficiently.

Honeyhive Automation

Name: Honeyhive Automation
Author: ComposioHQ

byComposioHQ

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48,594

•

Analíticas y Monitorización

Automates LLM evaluation, observability, and experiment management workflows using the Honeyhive toolkit via Rube MCP.

The Honeyhive Automation skill enables Claude to interact directly with the Honeyhive platform to streamline AI development and testing. By leveraging Composio's Rube MCP, this skill allows users to automate the management of prompts, track model performance metrics, and execute evaluation runs without leaving the development environment. It features dynamic tool discovery to ensure interactions always use the most up-to-date Honeyhive API schemas, making it an essential utility for teams building production-grade AI applications that require rigorous testing and monitoring.

Características Principales

0148,594 GitHub stars

02Automated LLM evaluation and experiment tracking workflows

03Bulk operation support for efficient prompt and data management

04Real-time connection management and authentication via Rube MCP

05Dynamic discovery of Honeyhive tool schemas and input requirements

06Automatic schema compliance checking for tool execution

Casos de Uso

01Automating LLM output evaluations and scoring across datasets

02Tracking AI model performance and observability metrics during CI/CD

03Programmatically managing and updating prompt templates in Honeyhive

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add composiohq/awesome-claude-skills honeyhive-automation

For use in Claude.ai and ChatGPT

Características Principales

0148,594 GitHub stars

02Automated LLM evaluation and experiment tracking workflows

03Bulk operation support for efficient prompt and data management

04Real-time connection management and authentication via Rube MCP

05Dynamic discovery of Honeyhive tool schemas and input requirements

06Automatic schema compliance checking for tool execution

Casos de Uso

01Automating LLM output evaluations and scoring across datasets

02Tracking AI model performance and observability metrics during CI/CD

03Programmatically managing and updating prompt templates in Honeyhive

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add composiohq/awesome-claude-skills honeyhive-automation

For use in Claude.ai and ChatGPT