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.
npx skills add roedyrustam/vibes-plug --skill graphql-apollo-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/graphql-apollo-expert)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/graphql-apollo-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/graphql-apollo-expert/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/roedyrustam/vibes-plug/graphql-apollo-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/graphql-apollo-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.01131 |
| Opus 5 | $0.00024 | $0.00566 |
| Sonnet 5 | $0.00010 | $0.00226 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
graphql-apollo-expert 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL & Apollo Expert
English
Orchestration & Integration
Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and project-context-mapper to ensure cohesive execution.
Description
Production-grade guidance for building and consuming GraphQL APIs. Focuses on the Apollo ecosystem (Apollo Server, Apollo Client, Federation), NestJS GraphQL integration, and solving common performance pitfalls like the N+1 query problem using DataLoaders.
Trigger Conditions
Activate this skill when the user is:
- Setting up a GraphQL server with NestJS, Express, or Apollo Server.
- Using
@apollo/clientor@vue/apollo-composableon the frontend. - Deciding between Code-First vs. Schema-First GraphQL design.
- Optimizing backend database queries triggered by GraphQL resolvers (N+1 problem).
- Implementing GraphQL Subscriptions via WebSockets.
Core Concepts
1. Code-First vs Schema-First (NestJS)
- Code-First (Recommended for TypeScript): Define resolvers and object types using TS decorators. The schema
.gqlfile is automatically generated. Ensures a single source of truth. - Schema-First: Write raw
.gqlfiles and use tools to generate TypeScript interfaces.
// NestJS Code-First Example
import { ObjectType, Field, Int } from '@nestjs/graphql';
@ObjectType()
export class User {
@Field(() => Int)
id: number;
@Field()
email: string;
}
import { Resolver, Query } from '@nestjs/graphql';
@Resolver(() => User)
export class UserResolver {
@Query(() => [User])
async users(): Promise<User[]> {
return [{ id: 1, email: '[email protected]' }];
}
}
2. The N+1 Problem & DataLoader
GraphQL's resolver architecture easily causes the N+1 query problem (e.g., querying authors and their posts results in 1 query for authors, and N queries for each author's posts).
Solution: Always use DataLoader to batch and cache database requests within a single GraphQL execution tick.
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.
- 5d ago First seen · 115 lines · 48 tokens per session scan A 57163dd8a149
graphql-apollo-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (49 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,131 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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