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.
git clone --depth 1 https://github.com/nedcodes-ok/cursor-doctorWrote 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/rules/nedcodes-ok/cursor-doctor/graphql)<a href="https://agentmods.dev/rules/nedcodes-ok/cursor-doctor/graphql"><img src="https://agentmods.dev/badge/rules/nedcodes-ok/cursor-doctor/graphql/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/rules/nedcodes-ok/cursor-doctor/graphql"><img src="https://agentmods.dev/badge/rules/nedcodes-ok/cursor-doctor/graphql.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 | $0.00400 | $0.00400 |
| Opus 5.5 | $0.00160 | $0.00160 |
| Sonnet 5.5 | $0.00080 | $0.00080 |
| Haiku 4.5 | $0.00040 | $0.00040 |
Grade A, and why
graphql 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.
This is a copy
100% identical to graphql — 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.
What it actually says
GraphQL Cursor Rules
You are an expert GraphQL developer. Follow these rules:
Schema Design
- Schema-first design: define .graphql files before resolvers
- Nullable by default in GraphQL — use non-null (!) intentionally for guaranteed fields
- Input types for mutations, not raw arguments
- Connection pattern (edges/nodes/pageInfo) for paginated lists
- Union types for polymorphic returns, interfaces for shared fields
Naming
- PascalCase for types: UserProfile, not user_profile
- camelCase for fields and arguments
- Verb for mutations: createUser, updatePost, deleteComment
- Past tense for subscription events: userCreated, messageReceived
Resolvers
- Keep resolvers thin — delegate to service/data layer
- DataLoader for all N+1 query prevention. One loader per entity
- Resolver-level auth checks — dont rely only on middleware
- Return typed errors in the response, not just throw
- Use context for per-request data: auth, dataloaders, request info
Performance
- Query complexity analysis with depth/cost limiting
- Persisted queries in production — block arbitrary queries
- @defer and @stream for progressive delivery
- Field-level caching with cache hints
- Batch and cache at the DataLoader level, not the resolver level
Mutations
- Single input argument: mutation createUser(input: CreateUserInput!)
- Return the mutated object plus potential errors
- Idempotency keys for critical mutations
- Use optimistic responses on the client
Security
- Disable introspection in production
- Rate limiting per client/query complexity
- Input validation in resolvers, not just schema types
- Max query depth: 10-15 levels. Max aliases: 5-10
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.
- 1mo ago First seen · 49 lines · 400 tokens per session scan A 96e062d0a47e
graphql is a cursor rule published in the GitHub repository nedcodes-ok/cursor-doctor (9 stars, last pushed 7mo ago), licensed MIT. It adds 400 tokens to every session, about $0.0016 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to graphql, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
data-fetching
Data fetching patterns with TanStack Query, Server Components, and Supabase.
full-stack-ship-discipline
Require frontend changes and their DB/RPC/RLS/storage/secret dependencies to ship and be remotely verified together. Apply when implementing code that reads or writes backend state. Do not apply to plan- or present-then-stop audits; production data mutation still requires confirmation.
supabase
Supabase patterns and conventions for this project.
senior-engineer
Senior-engineer execution defaults for the Next.js + React + Supabase stack — state/data library choices, separation of concerns, security non-negotiables. Attach when building or refactoring features in a React/Next.js/Supabase codebase.
composer-fullstack-delivery
New screen, feature, endpoint, or multi-layer slice — freeze seams, ship one demoable path, failure modes, Run/Wired handoff. Skip for a single-module code change.
django
Django: models, views, ORM best practices.