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 travisjneuman/.claude --skill graphql-expertgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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/travisjneuman/.claude/graphql-expert)<a href="https://agentmods.dev/skills/travisjneuman/.claude/graphql-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/graphql-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/travisjneuman/.claude/graphql-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/graphql-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 779 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.03545 |
| Opus 5 | $0.00015 | $0.01773 |
| Sonnet 5 | $0.00006 | $0.00709 |
| Haiku 4.5 | $0.00003 | $0.00354 |
Grade A, and why
graphql-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 8d 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 — 795 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL Expert
Comprehensive guide for designing and implementing GraphQL APIs.
GraphQL Fundamentals
What is GraphQL?
GraphQL is a query language for APIs that:
✓ Lets clients request exactly what they need
✓ Gets multiple resources in one request
✓ Uses a type system to describe data
✓ Provides introspection (self-documenting)
GraphQL vs REST:
┌─────────────────────────────────────────┐
│ REST: Multiple endpoints, fixed shapes │
│ GET /users/1 │
│ GET /users/1/posts │
│ GET /users/1/followers │
├─────────────────────────────────────────┤
│ GraphQL: Single endpoint, flexible │
│ POST /graphql │
│ query { user(id: 1) { │
│ name │
│ posts { title } │
│ followers { name } │
│ }} │
└─────────────────────────────────────────┘
Schema Design
Type System
# Scalar Types (built-in)
String, Int, Float, Boolean, ID
# Custom Scalar
scalar DateTime
scalar JSON
# Object Type
type User {
id: ID!
email: String!
name: String
createdAt: DateTime!
posts: [Post!]!
}
# Enum
enum Role {
ADMIN
USER
GUEST
}
# Interface
interface Node {
id: ID!
}
type User implements Node {
id: ID!
# ... other fields
}
# Union
union SearchResult = User | Post | Comment
# Input Type (for mutations)
input CreateUserInput {
email: String!
name: String!
role: Role = USER
}
Nullability
# Field modifiers:
String # Nullable string
String! # Non-null string
[String] # Nullable list of nullable strings
[String!] # Nullable list of non-null strings
[String]! # Non-null list of nullable strings
[String!]! # Non-null list of non-null strings
# Best practice:
# - Make fields nullable by default
# - Use ! only when guaranteed non-null
# - Lists should usually be non-null: [Item!]!
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.
- 8d ago First seen · 795 lines · 31 tokens per session scan A 697ec1f5e924
graphql-expert is a skill published in the GitHub repository travisjneuman/.claude (97 stars, last pushed 6d ago), licensed MIT. It adds 31 tokens to every session and 3,545 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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