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GraphQL Query Depth Limiting & Cost Analysis Armor

Verified Secure

Created by Escape Technologies•security Workflow

Protect GraphQL APIs against denial-of-service via nested query depth and cost limits.

Supported Runtimes:codexclaude-codecursorwindsurf
Universal 1-Click Installer
npx askills install graphql-depth-limiting-armor
Installs automatically to ~/.agents/skills or ~/.codex/skills
•Raw Endpoint

Client Trigger & Invocation Simulator

Interactive Agent Cheatsheet
Codex Native Trigger Pattern
Zero-Guessing Syntax
$graphql-depth-limiting-armor <your task>

Type `$graphql-depth-limiting-armor` in the chat or invoke via natural language. Codex automatically identifies the skill from ~/.agents/skills or project .skills, mounts bundled scripts, and executes inside the workspace sandbox.

Ready-to-Run Prompt for Codex NativeClick to copy

$graphql-depth-limiting-armor Configure graphql-depth-limit to reject GraphQL queries nested deeper than 5 levels.

Agent Runtime Simulation (Codex Native)
user@agent:~$ $graphql-depth-limiting-armor Configure graphql-depth-limit to reject Graph...
Click "Test Trigger Simulation" above to see how Codex Native discovers and runs GraphQL Query Depth Limiting & Cost Analysis Armor in real-time.

Overview & Problem Solved

When modern frontier LLMs (like Claude 3.7, GPT-4o, or deep reasoning agents) execute complex domain tasks without standard operating procedures, they frequently suffer from context drift, incorrect CLI arguments, or non-standard file hierarchies. GraphQL Query Depth Limiting & Cost Analysis Armor eliminates probabilistic guessing by supplying the Agent with an authoritative, sandboxed execution specification.

By packaging verified workflows into a structured SKILL.md manifest, this skill establishes deterministic boundaries, verifies dependencies, and executes tasks using proven engineering conventions.

Operational Impact: Without Skill vs. With Skill

Raw frontier models possess deep knowledge, but probabilistic prompting lacks rigid engineering guardrails. Packaging GraphQL Query Depth Limiting & Cost Analysis Armor into a verified SKILL.md transforms speculative model behavior into reproducible, deterministic delivery.

Without Skill (Raw Probabilistic LLM)
High Failure Risk
  • Speculative CLI Flags: Model guesses experimental command arguments or deprecated API endpoints.
  • Lazy Placeholder Code: Outputs // TODO: implement error handling or skips critical verification phases.
  • Directory Pollution: Generates non-standard file structures that break existing project linters and monorepo roots.
  • Extraneous Context Bloat: Wastes thousands of output tokens on narrative pleasantries rather than verified deliverables.
// Raw LLM output (Prone to regressions):
I will now write your code. Note that you may need to install some packages...
function process() {
  // TODO: Connect database here
  console.log("Done");
}
⚠️ Unverified: missing types, missing schema validations, no self-healing check.
With GraphQL Query Depth Limiting & Cost Analysis Armor (Deterministic Agent SOP)
Deterministic
  • Codified Workflow Stages: Follows strict step-by-step algorithms explicitly codified in SKILL.md.
  • Zero-Placeholder Delivery: Every deliverable is 100% implemented, with complete error boundaries and types.
  • Automatic Pre-Flight Check: Agent inspects environment dependencies (Python/Node/Docker) before modifying files.
  • Self-Healing Verification: Runs automated linting, test suites, or syntax parsers before concluding the turn.
// SKILL.md SOP Output (Verified & Sandboxed):
[Stage 1] Pre-flight: schema parsed & dependencies locked.
export async function execute() {
  const validated = schema.parse(input);
  return await auditAndPersist(validated);
}
Passed 100% static typecheck & workspace sandbox rules.

Core Capabilities & Guarantees

Deterministic SOP Enforcement

Follows pre-tested instructions and step-by-step algorithms, avoiding experimental or hallucinated flags.

Multi-Runtime Isolation

Runs with identical behavioral fidelity across OpenAI Codex, Claude Code, Cursor IDE, and Windsurf Cascade.

Sandbox-Scoped Boundaries

Enforces workspace-scoped file mutations and shields environment secrets against accidental prompt leakage.

Self-Healing QA Verification

Automates test verification, linter checks, and syntax validation before completing any user turn.

Agent Execution Pipeline

1

Intent Matching & Context Ingestion

The agent scans the user request against the skill's YAML frontmatter triggers and loads the verified instructions into active working memory.

2

Toolchain & Dependency Validation

The runtime verifies that necessary tools, interpreters, and environment configurations exist within the workspace sandbox before proceeding.

3

Deterministic Execution & Delivery

The agent executes the codified SOP, runs verification checks, and outputs high-fidelity deliverables without extraneous narration.

Validated Prompt Templates

(Click to copy)

“Configure graphql-depth-limit to reject GraphQL queries nested deeper than 5 levels.”

“Calculate query complexity points based on requested fields and reject expensive queries.”

“Disable GraphQL introspection in production environments to prevent schema reconnaissance.”

Automated Security & Audit Report

Score:98/100 (SAFE)
Filesystem

Workspace Scoped

Cannot escape workspace root
Shell Execution

Instruction Only

Zero system subprocesses
Network Access

Offline Sandbox

No internet egress
API Keys Required

None Required

Runs fully standalone

Enterprise & Production Use Cases

Autonomous Development SprintsEnables coding agents to independently build features, run lint tests, and author PR descriptions that strictly conform to organizational coding rules.
Batch Automation & CI/CD PipelinesAutomates repetitive transformations such as document generation, schema migrations, or test-suite updates inside containerized CI runners.
Standardized Engineering OnboardingDistributes unified development playbooks across all engineering team members using Cursor, Codex, or Claude Code.

Frequently Asked Questions

Q: What makes GraphQL Query Depth Limiting & Cost Analysis Armor different from a standard MCP server?

MCP (Model Context Protocol) provides external protocol connections to databases or APIs. In contrast, GraphQL Query Depth Limiting & Cost Analysis Armor is a high-level operational skill (SKILL.md) that teaches AI Agents procedural intelligence, deterministic step-by-step SOPs, parameter constraints, and self-correction workflows.

Q: Is GraphQL Query Depth Limiting & Cost Analysis Armor compatible with frontier models like Claude 3.7 Sonnet, GPT-4o, and DeepSeek-R1?

Yes. The skill is packaged with standard markdown instructions (SKILL.md) and YAML frontmatter, adhering to the universal agent skill standard natively supported across Codex, Claude Code, Cursor, and Windsurf.

Q: What permissions does GraphQL Query Depth Limiting & Cost Analysis Armor require in agent mode?

Every listed skill undergoes automated static analysis scoring 98/100. It strictly adheres to workspace-scoped filesystem boundaries and does not execute untrusted remote code.

Q: Can our team customize or extend the rules in this SKILL.md?

Yes. Once installed in your project root (.skills/graphql-depth-limiting-armor/SKILL.md or ~/.agents/skills/graphql-depth-limiting-armor/), you can customize the instructions to include internal team guidelines, custom linters, or proprietary APIs.

SKILL.md Source Specification

View Raw
---
name: "graphql-depth-limiting-armor"
description: "Protect GraphQL APIs against denial-of-service via nested query depth and cost limits."
metadata:
  author: "Escape Technologies"
  version: "1.0.0"
  runtime_compatibility:
    - "codex"
    - "claude-code"
    - "cursor"
    - "windsurf"
triggers:
  - "limit graphql query depth"
  - "prevent nested query dos graphql"
  - "add graphql armor"
permissions:
  fs_read: true
  fs_write: "workspace"
  shell_exec: false
  net_access: false
---

# GraphQL Query Depth Limiting & Cost Analysis Armor

Defends GraphQL endpoints against malicious nested queries using graphql-depth-limit and graphql-cost-analysis: calculating query complexity, rejecting circular nesting, and rate limiting by cost.

## When to Invoke
Invoke this skill whenever you need to:
- limit graphql query depth
- prevent nested query dos graphql
- add graphql armor

## Execution SOP & Rules
1. Apply depth limiting validation rules to reject excessively deep queries (max depth: 5-7).
2. Enforce query cost analysis to cap maximum computational points per incoming request.
3. Disable introspection and schema explorer interfaces in production environments.
4. Set request timeouts on GraphQL resolvers to terminate runaway database queries.

## Verification Checklist
- Run local linting, syntax validation, and type-checks before reporting completion.
- Ensure all created or modified files adhere to workspace boundaries and avoid uncommitted secrets.
- Verify tests or build commands exit cleanly with return code 0.

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