What platforms does this skill support?

It supports plugin structures and Model Context Protocol (MCP) configurations for Claude Code, OpenCode, and Codex.

What is the 'Intern Test' for tools?

It is a quality standard used by the skill to verify if a tool's description is clear enough for the AI to use correctly without needing to see the source code.

Can it automatically fix security vulnerabilities?

No, security warnings are advisory to ensure developer oversight. However, it can automatically fix high-certainty structural and schema issues like missing required fields.

How does it improve AI response accuracy?

It enforces strict schemas and detailed descriptions, reducing model confusion and improving tool-use reliability by up to 89% according to optimization benchmarks.

Does it work with local MCP servers?

Yes, it specifically analyzes MCP server patterns including stdio and http transport configurations for local development.

Plugin & MCP Schema Optimizer

Name: Plugin & MCP Schema Optimizer
Author: avifenesh

byavifenesh

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311

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Security & Testing

Audits and optimizes AI plugin structures, MCP tool schemas, and security patterns for Claude Code and related platforms.

This skill provides a comprehensive auditing framework for AI plugins, ensuring they adhere to function calling best practices and secure coding standards. It automatically detects issues like missing schema constraints, vague tool descriptions, and potential security vulnerabilities like command injection or path traversal across Claude Code, OpenCode, and Codex environments. By applying automated fixes for high-certainty issues, it helps developers build more reliable, efficient, and secure AI-integrated tools while significantly improving the accuracy of model-tool interactions.

Key Features

01Auto-fix capabilities for high-certainty schema and structural issues

02Automated MCP tool schema validation and optimization

03Deep security pattern scanning for command injection and path traversal

04Cross-platform support for Claude Code, OpenCode, and Codex plugin structures

05311 GitHub stars

06Quality analysis of tool descriptions for improved AI model performance

Use Cases

01Pre-deployment auditing of new MCP servers to ensure schema compliance and security

02Standardizing plugin structures across large-scale AI development projects

03Refining tool and parameter descriptions to increase AI function calling accuracy

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add avifenesh/awesome-slash plugins

For use in Claude.ai and ChatGPT

Download Skill