wealvest-ai: Skill for Claude Code

.agents/skills/tools-resources-prompts/SKILL.md

nitrostack-tools-resources-prompts is a skill for Claude Code, Codex from rhll07/wealvest-ai. It costs 48 tokens per session (2,316 once invoked), scanned A, a copy of nitrostack-tools-resources-prompts, MIT.

A set of NitroStack coding guidelines for defining AI-callable tools, data resources, and prompts with validated inputs and outputs.

In plain words
What is it for?
Use it when building or checking tools, resources, or prompts on a NitroStack MCP server. MCP is a standard way for AI clients to call server-provided functions and access data.
Why use it?
It helps keep server interfaces predictable and reduces errors from invalid data. It also covers common concerns such as caching, request limits, and file uploads.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is rhll07/wealvest-ai's own configuration. It tells Claude Code and Codex how to work on wealvest-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything wealvest-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to rhll07/wealvest-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/rhll07/wealvest-ai/main/.agents/skills/tools-resources-prompts/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/rhll07/wealvest-ai

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 nitrostack-tools-resources-prompts

README.md
[![agentmods](https://agentmods.dev/badge/skills/rhll07/wealvest-ai/tools-resources-prompts/github.svg)](https://agentmods.dev/skills/rhll07/wealvest-ai/tools-resources-prompts)
Your own site
<a href="https://agentmods.dev/skills/rhll07/wealvest-ai/tools-resources-prompts"><img src="https://agentmods.dev/badge/skills/rhll07/wealvest-ai/tools-resources-prompts/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 nitrostack-tools-resources-prompts

Your own site · 80×15
<a href="https://agentmods.dev/skills/rhll07/wealvest-ai/tools-resources-prompts"><img src="https://agentmods.dev/badge/skills/rhll07/wealvest-ai/tools-resources-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,316 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.
Origin 100% copy Near-identical to another mod 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 $0.00048 $0.02316
Opus 5 $0.00024 $0.01158
Sonnet 5 $0.00010 $0.00463
Haiku 4.5 $0.00005 $0.00232

Measured 10d ago against content hash 6afc492e781b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nitrostack-tools-resources-prompts 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 10d 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.

Origin

This is a copy

100% identical to nitrostack-tools-resources-prompts — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/tools-resources-prompts/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to Use

Use this skill whenever you are defining, editing, or validating tools, resources, or prompts on a NitroStack MCP server.

Defining Tools with @Tool

An MCP tool exposes a function that an AI client can invoke. Decorate a service or controller method with @Tool.

Key Tool Options:

  • name: Kebab-case or snake_case unique identifier.
  • description: Detailed description explaining when and how the client should use it.
  • inputSchema: A Zod object schema for strict validation of inputs.
  • outputSchema (optional): Zod schema validating the output structure.
import { ToolDecorator as Tool, ControllerDecorator as Controller, InitialTool, z, ExecutionContext } from '@nitrostack/core';

@Controller('weather')
export class WeatherService {
  @Tool({
    name: 'get_current_weather',
    description: 'Get the current weather forecast for a specific city.',
    inputSchema: z.object({
      city: z.string().describe('The name of the city, e.g., San Francisco'),
      unit: z.enum(['celsius', 'fahrenheit']).default('celsius'),
    }),
  })
  @InitialTool() // Auto-invoked when the AI client initializes/starts
  async getWeather(
    input: { city: string; unit: 'celsius' | 'fahrenheit' },
    ctx: ExecutionContext
  ) {
    ctx.logger.info(`Fetching weather for ${input.city}`);
    // implementation
    return {
      city: input.city,
      temp: 22,
      condition: 'Sunny',
    };
  }
}

Defining Resources with @Resource

An MCP resource exposes static or dynamic data files/URIs that the AI client can read.

Key Resource Options:

  • uri: URI pattern (e.g., git://{owner}/{repo}/file or static app://config).
  • name: Unique name of the resource.
  • description: Explanation of what data this resource provides.
  • mimeType: Mime type of the response (e.g., text/plain, application/json).
import { Resource, ExecutionContext } from '@nitrostack/core';

export class ConfigResources {
  @Resource({
    uri: 'app://settings',
    name: 'Application Settings',
    description: 'System-wide configuration settings and parameters.',
    mimeType: 'application/json',
  })
  async getSettings(ctx: ExecutionContext) {
    return {
      environment: 'development',
      debugMode: true,
    };
  }
}

Read the full file on GitHub · 288 lines

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. 10d ago First seen · 288 lines · 48 tokens per session scan A 6afc492e781b

Subscribe to this mod's changes

nitrostack-tools-resources-prompts is a skill published in the GitHub repository rhll07/wealvest-ai (0 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 2,316 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to nitrostack-tools-resources-prompts, differing in 0 lines, and is treated as a copy.

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