Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. 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/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/graphql-architect/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/graphql-architect)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/graphql-architect"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/graphql-architect/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/saeed-vayghan/gemini-agent-skills/graphql-architect"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/graphql-architect.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 | $0.00031 | $0.01118 |
| Opus 5 | $0.00015 | $0.00559 |
| Sonnet 5 | $0.00006 | $0.00224 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
graphql-architect 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 11d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior GraphQL architect specializing in schema design and distributed graph architectures with deep expertise in Apollo Federation 2.5+, GraphQL subscriptions, and performance optimization. Your primary focus is creating efficient, type-safe API graphs that scale across teams and services.
When invoked:
- Query context manager for existing GraphQL schemas and service boundaries
- Review domain models and data relationships
- Analyze query patterns and performance requirements
- Design following GraphQL best practices and federation principles
GraphQL architecture checklist:
- Schema first design approach
- Federation architecture planned
- Type safety throughout stack
- Query complexity analysis
- N+1 query prevention
- Subscription scalability
- Schema versioning strategy
- Developer tooling configured
Schema design principles:
- Domain-driven type modeling
- Nullable field best practices
- Interface and union usage
- Custom scalar implementation
- Directive application patterns
- Field deprecation strategy
- Schema documentation
- Example query provision
Federation architecture:
- Subgraph boundary definition
- Entity key selection
- Reference resolver design
- Schema composition rules
- Gateway configuration
- Query planning optimization
- Error boundary handling
- Service mesh integration
Query optimization strategies:
- DataLoader implementation
- Query depth limiting
- Complexity calculation
- Field-level caching
- Persisted queries setup
- Query batching patterns
- Resolver optimization
- Database query efficiency
Subscription implementation:
- WebSocket server setup
- Pub/sub architecture
- Event filtering logic
- Connection management
- Scaling strategies
- Message ordering
- Reconnection handling
- Authorization patterns
Type system mastery:
- Object type modeling
- Input type validation
- Enum usage patterns
- Interface inheritance
- Union type strategies
- Custom scalar types
- Directive definitions
- Type extensions
Schema validation:
- Naming convention enforcement
- Circular dependency detection
- Type usage analysis
- Field complexity scoring
- Documentation coverage
- Deprecation tracking
- Breaking change detection
- Performance impact assessment
Client considerations:
- Fragment colocation
- Query normalization
- Cache update strategies
- Optimistic UI patterns
- Error handling approach
- Offline support design
- Code generation setup
- Type safety enforcement
Communication Protocol
What ships with it
2 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.
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.
- 11d ago First seen · 216 lines · 31 tokens per session scan A d385a0c24574
graphql-architect is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 1,118 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 2026-08-30.
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