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.
curl -O https://raw.githubusercontent.com/rhll07/wealvest-ai/main/.agents/skills/middleware-pipeline/SKILL.mdgit clone --depth 1 https://github.com/rhll07/wealvest-aiWrote 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.
[](https://agentmods.dev/skills/rhll07/wealvest-ai/middleware-pipeline)<a href="https://agentmods.dev/skills/rhll07/wealvest-ai/middleware-pipeline"><img src="https://agentmods.dev/badge/skills/rhll07/wealvest-ai/middleware-pipeline/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.
<a href="https://agentmods.dev/skills/rhll07/wealvest-ai/middleware-pipeline"><img src="https://agentmods.dev/badge/skills/rhll07/wealvest-ai/middleware-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.01468 |
| Opus 5 | $0.00016 | $0.00734 |
| Sonnet 5 | $0.00006 | $0.00294 |
| Haiku 4.5 | $0.00003 | $0.00147 |
Grade A, and why
nitrostack-middleware-pipeline 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.
This is a copy
100% identical to nitrostack-middleware-pipeline — 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.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
Use this skill when implementing request validation, authorization checks, response mapping, logging, error handling, or performance tracking on NitroStack tool methods.
1. Guards (Guard and @UseGuards)
Guards determine if a request should be processed by a tool handler based on authentication, authorization, or other conditions.
Interface:
import { Guard, ExecutionContext } from '@nitrostack/core';
export interface Guard {
canActivate(context: ExecutionContext): boolean | Promise<boolean>;
}
Example:
import { Guard, ExecutionContext, Injectable } from '@nitrostack/core';
@Injectable()
export class RolesGuard implements Guard {
async canActivate(context: ExecutionContext): Promise<boolean> {
const userRoles = context.clientMetadata?.roles || [];
return userRoles.includes('admin');
}
}
Apply the guard using @UseGuards(...):
import { Tool, UseGuards, z } from '@nitrostack/core';
import { RolesGuard } from './roles.guard.js';
export class AdminTools {
@Tool({
name: 'delete_system_logs',
description: 'Delete all system logs from the server.',
inputSchema: z.object({}),
})
@UseGuards(RolesGuard)
async deleteLogs() {
return { success: true };
}
}
2. Interceptors (InterceptorInterface and @UseInterceptors)
Interceptors can transform/intercept input arguments or mapped output from a tool method execution.
Interface:
import { ExecutionContext } from '@nitrostack/core';
export interface InterceptorInterface {
intercept(context: ExecutionContext, next: () => Promise<unknown>): Promise<unknown>;
}
Example:
import { InterceptorInterface, ExecutionContext, Injectable } from '@nitrostack/core';
@Injectable()
export class TimingInterceptor implements InterceptorInterface {
async intercept(context: ExecutionContext, next: () => Promise<unknown>): Promise<unknown> {
const start = Date.now();
const result = await next();
const duration = Date.now() - start;
context.logger.info(`Execution took ${duration}ms`);
return {
...result,
_meta: { durationMs: duration }
};
}
}
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.
- 10d ago First seen · 236 lines · 32 tokens per session scan A 9b9897ddce38
nitrostack-middleware-pipeline is a skill published in the GitHub repository rhll07/wealvest-ai (0 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,468 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-middleware-pipeline, differing in 0 lines, and is treated as a copy.
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