GraphQL Persona

SkillSecurity

Use when building a GraphQL feature end to end: domain, schema, TDD, security. Trigger words: GraphQL API, GraphQL schema, mutation, query, graphql-ruby.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the GraphQL Persona skill

What this skill tells your AI

The instructions your AI receives, as published by igmarin/rails-agent-skills in skills/graphql/SKILL.md and read by ahel’s review.

Agent Phases

Phase 1: Domain Modeling

Steps:

  1. Map each domain entity and action to a GraphQL type or mutation, assigning it to a single owning bounded context
  2. Document entity relationships as GraphQL connections or nested types with explicit ownership

Example Domain → Schema Mapping:

Domain ConceptGraphQL ConstructOwning Context
Order (entity)Types::OrderTypeOrders
Customer (entity)Types::CustomerTypeAccounts
PlaceOrder (command)Mutations::PlaceOrderOrders
Order.lineItemsTypes::LineItemType (connection)Orders

HARD GATE — Domain Language:

  • Core GraphQL types and their owning bounded contexts identified
  • Entity relationships mapped to GraphQL connections or nested types

If gate fails: Return to domain discovery.


Phase 2: Schema Design

Steps:

  1. Use cursor-based or offset pagination for all list fields — never return unbounded arrays
  2. Enforce field-level authorization via authorized? on sensitive types and fields (see Phase 4 for the full security checklist)
  3. Wrap mutation responses in a result object with a structured errors field
  4. Validate schema correctness before proceeding

HARD GATE — Schema Validation:

Verify schema validity using graphql-ruby's built-in tools:

namespace :graphql do
  task validate: :environment do
    puts MySchema.to_definition
    puts "Schema valid."
  end
end
bundle exec rake graphql:validate
  • No circular type references
  • All types have proper fields and arguments
  • Authorization rules defined for sensitive fields

Example Type:

module Types
  class OrderType < Types::BaseObject
    field :id, ID, null: false
    field :customer, Types::CustomerType, null: false
    field :total, Float, null: false
    field :status, String, null: false

    def self.authorized?(object, context)
      context[:current_user].can_read?(object)
    end
  end
end

Phase 3: TDD Implementation

For every resolver or mutation:

  1. Write a failing resolver spec, mutation spec, or integration spec targeting the specific graphql-ruby class under test
  2. Propose implementation, wait for explicit user approval, then implement the resolver/mutation code
  3. Run the full suite to confirm no regressions

HARD GATE — Test Verification:

  • Test EXISTS and RUNS
  • Test FAILS before implementation (correct reason)
  • Test PASSES after implementation
  • Full test suite PASSES (no regressions)

Example Resolver Test:

RSpec.describe Resolvers::OrderResolver do
  let(:user) { create(:user) }
  let(:order) { create(:order, customer: user) }

  it 'returns order for authorized user' do
    result = described_class.new(object: nil, context: { current_user: user }).resolve(id: order.id)
    expect(result).to eq(order)
  end

  it 'returns nil for unauthorized user' do
    result = described_class.new(object: nil, context: { current_user: create(:user) }).resolve(id: order.id)
    expect(result).to be_nil
  end
end

Phase 4: Security Review

This is the authoritative phase for all authorization and security requirements.

Steps:

  1. Audit authorization at field level — every sensitive field must have an authorized? guard
  2. Configure query depth and complexity limits on the schema class
  3. Implement rate limiting at the application layer
  4. Eliminate N+1 queries using GraphQL::Batch or dataloader
  5. Ensure rescue_from on the schema class catches StandardError and returns a generic message

HARD GATE — Security Check:

  • Authorization on all sensitive fields
  • Query depth limit configured (recommended: ≤ 10)
  • Query complexity limit configured
  • Rate limiting implemented
  • No N+1 queries in resolvers
  • Error messages sanitized

Example Security Configuration:

class MySchema < GraphQL::Schema
  use GraphQL::Batch

  query Types::QueryType
  mutation Types::MutationType

  max_depth 10
  max_complexity 100

  rescue_from(StandardError) do |err|
    raise GraphQL::ExecutionError, "An error occurred"
  end
end

Error Recovery

ProblemRemediation
Schema validation failsCheck circular references with MySchema.to_definition; verify all referenced types are defined
Authorization bypass detectedAdd authorized? to the affected type, write a failing spec, re-run Phase 4
N+1 queriesIdentify with bullet gem; add GraphQL::Batch loader or dataloader for the association

Anti-Patterns

  • God schema: Use app/graphql/types/, app/graphql/mutations/, app/graphql/resolvers/ — not one file
  • Leaking internals: Never expose ActiveRecord column names directly — map to domain-appropriate field names
  • Fat resolvers: Extract business logic to service objects; resolvers should only coordinate

Signals

GitHub stars
25
Forks
7
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
graphql-igmarin
Source
github.com/igmarin/rails-agent-skills