prompt-design

prompt-design is a skill for Claude Code, Codex from basementstudio/xmcp. It costs 22 tokens per session (881 once invoked), scanned A, original, MIT.

Instructions for creating reusable prompt templates in xmcp, a framework for exposing prompts through MCP. It covers simple, parameterized, and multi-content prompts, along with their inputs, roles, and intended uses.

In plain words
What is it for?
Use it when creating xmcp prompt files for tasks such as code review, documentation generation, data analysis, or other parameterized workflows.
Why use it?
It gives a structured way to collect the details needed before writing a prompt definition. This helps make prompts reusable and predictable instead of embedding one-off instructions in code.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it when creating xmcp prompt files for tasks such as code review, documentation generation, data analysis, or other parameterized workflows.

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Install with agentmods
npx agentmods add skills/basementstudio/xmcp/prompt-design
About the project

xmcp is a TypeScript framework for building applications with the Model Context Protocol, a standard for connecting AI models with tools and external context. Developers use it to create MCP-based integrations.

basementstudio/xmcp · 1,341 stars · on GitHub · xmcp.dev

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add basementstudio/xmcp --skill prompt-design
Clone the repo
git clone --depth 1 https://github.com/basementstudio/xmcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prompt-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/basementstudio/xmcp/prompt-design/github.svg)](https://agentmods.dev/skills/basementstudio/xmcp/prompt-design)
Your own site
<a href="https://agentmods.dev/skills/basementstudio/xmcp/prompt-design"><img src="https://agentmods.dev/badge/skills/basementstudio/xmcp/prompt-design/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prompt-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/basementstudio/xmcp/prompt-design"><img src="https://agentmods.dev/badge/skills/basementstudio/xmcp/prompt-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 881 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00881
Opus 5.5 $0.00009 $0.00352
Sonnet 5.5 $0.00004 $0.00176
Haiku 4.5 $0.00002 $0.00088

Measured 1mo ago against content hash d369dc7bbdd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prompt-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

apps/website/agent-skills/prompt-design/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create xmcp Prompt

You are helping the user create a new xmcp prompt. Follow this interactive workflow.

Step 1: Gather Information

Before generating any code, ask the user these questions using AskUserQuestion:

  1. Prompt name (if not provided): What should the prompt be named? (Use kebab-case)

  2. Prompt type: Ask which type of prompt they need:

    • Simple - Static prompt text without parameters
    • Parameterized - Prompt with user-provided parameters (most common)
    • Multi-content - Returns multiple content blocks (text, images, etc.)
  3. Parameters (if parameterized): What inputs should the prompt accept?

    • Parameter name
    • Type (string, number, enum)
    • Description
    • Whether it's optional
    • Any validation or default values
  4. Role: What role should the prompt assume?

    • user - Prompt from user perspective (most common)
    • assistant - Prompt as assistant response template
  5. Use case: What is the prompt designed for?

    • Code review
    • Documentation generation
    • Data analysis
    • Content creation
    • Other specific task

Step 2: Generate the Prompt

Create the prompt file in src/prompts/:

File Location

src/prompts/{prompt-name}.ts

Prompt Structure Reference

Every xmcp prompt has three main exports:

// 1. Schema (optional) - Define parameters with Zod
export const schema = { /* ... */ };

// 2. Metadata (optional) - Prompt configuration
export const metadata: PromptMetadata = { /* ... */ };

// 3. Handler (required) - Default export function
export default function handler(params?) { /* ... */ }

Quick Reference

Essential Imports

import { type PromptMetadata } from "xmcp";

// For parameterized prompts
import { z } from "zod";
import { type InferSchema, type PromptMetadata } from "xmcp";

Metadata Fields

Field Type Required Description
name string No* Unique prompt identifier
title string No Human-readable title
description string No What this prompt does
role string No "user" or "assistant" (default: user)

Read the full file on GitHub · 126 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 126 lines · 22 tokens per session scan A d369dc7bbdd3

Subscribe to this mod's changes

prompt-design is a skill published in the GitHub repository basementstudio/xmcp (1,341 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 881 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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