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 aj-geddes/useful-ai-prompts --skill graphql-implementationgit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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/aj-geddes/useful-ai-prompts/graphql-implementation)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/graphql-implementation"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/graphql-implementation/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/aj-geddes/useful-ai-prompts/graphql-implementation"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/graphql-implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00045 | $0.00570 |
| Opus 5 | $0.00023 | $0.00285 |
| Sonnet 5 | $0.00009 | $0.00114 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
graphql-implementation 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 9d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL Implementation
Table of Contents
Overview
Implement GraphQL APIs with proper schema design, resolver patterns, error handling, and performance optimization for flexible client-server communication.
When to Use
- Designing new GraphQL APIs
- Creating GraphQL schemas and types
- Implementing resolvers and mutations
- Adding subscriptions for real-time data
- Migrating from REST to GraphQL
- Optimizing GraphQL performance
Quick Start
Minimal working example:
type User {
id: ID!
email: String!
firstName: String!
lastName: String!
role: UserRole!
posts: [Post!]!
createdAt: DateTime!
updatedAt: DateTime!
}
enum UserRole {
ADMIN
USER
MODERATOR
}
type Post {
id: ID!
title: String!
content: String!
author: User!
comments: [Comment!]!
publishedAt: DateTime
createdAt: DateTime!
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| GraphQL Schema Design | GraphQL Schema Design |
| Node.js Apollo Server Implementation | Node.js Apollo Server Implementation |
| Python GraphQL Implementation (Graphene) | Python GraphQL Implementation (Graphene) |
| Query Examples | Query Examples |
| Error Handling | Error Handling |
Best Practices
✅ DO
- Use clear, descriptive field names
- Design schemas around client needs
- Implement proper error handling
- Use input types for mutations
- Add subscriptions for real-time data
- Cache resolvers efficiently
- Validate input data
- Use federation for scalability
❌ DON'T
- Over-nest queries deeply
- Expose internal database IDs
- Return sensitive data without authorization
- Create overly complex schemas
- Forget to handle null values
- Ignore N+1 query problems
- Skip error messages
What ships with it
7 files 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.
- references/error-handling.md 772 B
- references/graphql-schema-design.md 1.5 KB
- references/nodejs-apollo-server-implementation.md 1.9 KB
- references/python-graphql-implementation-graphene.md 1.8 KB
- references/query-examples.md 839 B
- scripts/validate-api.sh 440 B runs code
- templates/api-scaffold.yaml 467 B
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.
- 9d ago First seen · 99 lines · 45 tokens per session scan A d262677f5bf5
graphql-implementation is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 45 tokens to every session and 570 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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