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Competition Graphql Rpc Drift

CommunityPopular
zhaoxuya520
competition-graphql-rpc-drift

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for GraphQL schemas, persisted queries, RPC manifests, generated clients, OpenAPI drift, hidden operations, and contract-to-handler mismatches. Use when the user asks to inspect GraphQL or RPC requests, compare client contracts to live handlers, recover hidden operations, trace generated clients, or explain how schema or contract drift produces the decisive behavior. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namecompetition-graphql-rpc-drift
Stars
36.3K
Forks
5K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zhaoxuya520 on GitHub. Read the source before you install it.

Installation

Install the Competition Graphql Rpc Drift AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill.git /tmp/reverse-skill
mkdir -p .claude/skills
cp -r /tmp/reverse-skill/CTF-Sandbox-Orchestrator/competition-graphql-rpc-drift .claude/skills/competition-graphql-rpc-drift
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Graphql Rpc Drift in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Competition Graphql Rpc Drift on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Competition Graphql Rpc Drift is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Competition Graphql Rpc Drift

Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.

Use this skill when the hard part is matching declared contracts with live handlers to find hidden, stale, or privileged operations.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Collect the declared contract surface first: schema, manifest, generated client, persisted query map, or OpenAPI spec.
  2. Record actual request shapes, operation names, variables, method, path, and auth context before mutating anything.
  3. Compare declared contract, generated client behavior, and live handler behavior side by side.
  4. Preserve one accepted operation and one drifted or hidden operation with the smallest delta.
  5. Reproduce the smallest contract-to-handler mismatch that proves the decisive branch.

Workflow

1. Map The Declared Contract Surface

  • Record GraphQL schema, introspection output, persisted query ids, RPC manifests, generated clients, or OpenAPI documents that define the intended surface.
  • Note versioned endpoints, client-only guards, hidden enums, optional fields, and operation naming conventions.
  • Keep document source and generation path tied to the observed requests.

2. Prove Live Handler Behavior

  • Capture the real request and response pairs, including operation name, variables, headers, cookies, and status.
  • Compare client-side validation, schema expectations, and live handler normalization or fallback behavior.
  • Record hidden operations, stale fields, undocumented methods, or handler-only branches that still execute.

3. Reduce To The Decisive Drift Path

  • Compress the result to the smallest sequence: declared contract -> actual request -> handler branch -> resulting capability.
  • State clearly whether the decisive drift lives in generated client assumptions, persisted query mapping, schema version skew, RPC manifest mismatch, or handler-side hidden logic.
  • If the task shifts into generic JWT, OAuth, or queue behavior after acceptance, hand off to the tighter specialized skill.

Read This Reference

  • Load references/graphql-rpc-drift.md for the contract checklist, live-handler checklist, and evidence packaging.

What To Preserve

  • Schemas, manifests, generated clients, persisted query ids, operation names, and version markers
  • One accepted and one drifted request pair that proves the mismatch
  • One minimal contract-to-handler sequence that reaches the decisive effect

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Competition Graphql Rpc Drift AI skill do?

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for GraphQL schemas, persisted queries, RPC manifests, generated clients, OpenAPI drift, hidden operations, and contract-to-handler mismatches. Use when the user asks to inspect GraphQL or RPC requests, compare client contracts to live handlers, recover hidden operations, trace generated clients, or explain how schema or contract drift produces the decisive behavior. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Why use Competition Graphql Rpc Drift on TypingMind?

Because you install it once and use it with any model. Competition Graphql Rpc Drift is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Competition Graphql Rpc Drift in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-graphql-rpc-drift. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Competition Graphql Rpc Drift?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Competition Graphql Rpc Drift?

As many as you like. As long as a model supports skills, you can use Competition Graphql Rpc Drift with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Competition Graphql Rpc Drift AI skill free?

Yes. It is published on GitHub by zhaoxuya520 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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