Skillget

honeydew-ai-coding-agents-plugins

skill
Security Audit
Pass
Health Pass
  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 20 GitHub stars
Code Pass
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This skill provides a collection of plugins designed to help AI coding assistants (like Claude Code, Cursor, and Codex) build semantic models and analyze data via natural language. It acts as a bridge allowing these agents to interact seamlessly with the Honeydew MCP server.

Security Assessment
Overall risk is rated as Low. A light code scan of 12 files found no dangerous patterns, no hardcoded secrets, and no requests for dangerous permissions. Since the tool is written in Shell and functions primarily as agent-agnostic markdown instructions, it relies entirely on the user's local coding agent to execute tasks rather than acting as a standalone executable. While it inherently requires network requests to communicate with the Honeydew MCP server and access your data warehouse, this is expected behavior for its stated purpose and does not pose a hidden threat.

Quality Assessment
The project demonstrates strong health and basic community validation. It is actively maintained, with its most recent push occurring today, and has garnered 20 GitHub stars. Furthermore, it uses the permissive Apache-2.0 license, making it highly accessible for integration into broader projects. The repository includes a clear description and comprehensive installation guides for multiple platforms.

Verdict
Safe to use.
SUMMARY

Honeydew AI plugins for coding agents (Claude Code, Codex, Cursor, etc...)

README.md

Honeydew AI Plugins for Coding Agents

Skills and tools powered by the Honeydew MCP that help coding agents build semantic models and analyze data through natural conversation.

Example Use Cases

Query your data — Ask "Show me revenue by region for last quarter." Your coding agent discovers the right entities and metrics, runs the query through the semantic layer, and returns the results.

Build a semantic model — Ask "I added a new orders table — create an entity with revenue and order count metrics." Your coding agent imports the table, defines attributes and metrics following your naming conventions, and validates the result.

Investigate anomalies — Ask "Why did churn spike last month?" Your coding agent runs a multi-step deep analysis, explores correlations across your model, and surfaces the key drivers with supporting data.

Prerequisites

Installation

Claude Code

Add this marketplace to Claude Code:

/plugin marketplace add honeydew-ai/honeydew-ai-coding-agents-plugins

Then install the plugin:

/plugin install honeydew-ai@honeydew-ai-coding-agents-plugins

Codex

Add this marketplace to Codex:

codex plugin marketplace add honeydew-ai/honeydew-ai-coding-agents-plugins

Then open the plugin directory and install the plugin:

codex
/plugins

If the marketplace was already added before this repo exposed the Codex wrapper path, refresh it first:

codex plugin marketplace upgrade honeydew-ai-coding-agents-plugins

Cursor

  1. Go to Cursor Settings -> Rules, Skills, Subagents and click on +New next to Rules.
  2. Select Add from GitHub and enter the URL of this repository.

Other Coding Agents

For coding agents that support MCP, configure the Honeydew MCP server and use the skill files in this repository as prompts or instructions. The skills are written as agent-agnostic markdown documentation that any coding agent can consume.

Available Skills

The honeydew-ai plugin includes 9 skills:

Skill Description
model-exploration Explore the semantic model — list entities, search fields, inspect relationships, and discover warehouse tables
entity-creation Create entities — the foundational business concepts built from data warehouse tables
relation-creation Define relationships between entities with join types, cardinality, and complex join conditions
attribute-creation Create calculated attributes (dimensions) — per-row virtual columns defined with SQL expressions
metric-creation Create metrics (KPIs) — reusable aggregations like totals, averages, ratios, and growth rates
domain-creation Create domains — curated subsets of the semantic model exposed to specific teams or use cases
validation Mandatory post-creation validation — type-specific sanity checks, cross-validation, and error handling
query Query data using structured YAML perspectives, natural language questions, or multi-step deep analysis
filtering Advanced filtering syntax — comparisons, string matching, date handling, nulls, and full-text search

Supported Data Warehouses

  • Snowflake
  • Databricks
  • BigQuery

License

Apache 2.0 — see LICENSE for details.

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