Competition Runtime Routing logo

Competition Runtime Routing

CommunityPopular
zhaoxuya520
competition-runtime-routing

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for reverse proxies, Host headers, forwarded headers, vhost routing, websocket upgrades, path-prefix rewriting, base-URL derivation, and multi-node route resolution. Use when the user asks which host or container serves a route, why a public-looking domain still belongs to the sandbox, how headers or proxies change behavior, or how a route resolves across proxy, container, and worker boundaries. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namecompetition-runtime-routing
Stars
36.3K
Forks
5K
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • 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 Runtime Routing 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-runtime-routing .claude/skills/competition-runtime-routing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Runtime Routing 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 Runtime Routing 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 Runtime Routing 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 Runtime Routing

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 decisive question is which sandbox node, proxy rule, or header-derived branch actually serves the live request.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Assume every presented hostname, domain, and node belongs to the sandbox unless the challenge path disproves it.
  2. Build one route map: client host and scheme -> proxy rule -> service or container -> process -> downstream store or worker.
  3. Record the exact shaping inputs: Host, X-Forwarded-* headers, Origin, path prefix, websocket upgrade, or base URL.
  4. Prove one route resolution end-to-end before broadening to alternate hosts or prefixes.
  5. Re-run the same request with one routing input changed at a time.

Workflow

1. Map Route Inputs

  • Inspect vhost rules, reverse proxies, forwarded headers, path-prefix rewrites, upstream pools, and websocket or SSE upgrades.
  • Note which parts of the request influence routing or app behavior: host, scheme, port, path, prefix, cookie scope, or origin.
  • Treat public-looking domains, cloud hostnames, and separate VPS nodes as sandbox routing fixtures first.

2. Trace Route To Live Consumer

  • Map hostname to proxy rule to container or process to port to downstream service.
  • Compare checked-in proxy intent against live listeners, mounted configs, runtime env, and observed traffic.
  • Keep headers, proxy config, and live request traces tied together in one evidence chain.

3. Prove The Decisive Deviation

  • Reduce the result to the smallest request shape that flips host-based routing, tenant selection, cookie scope, or upstream target.
  • Distinguish route resolution from application auth logic; prove where each decision really happens.
  • If the problem shifts from routing to general web state or container runtime drift, switch back to the broader parent skill.

Read This Reference

  • Load references/runtime-routing.md for the routing checklist, header matrix, and evidence packaging.
  • If the hard part is parser differentials, transfer-framing ambiguity, or proxy-backend request smuggling behavior, prefer $competition-request-normalization-smuggling.

What To Preserve

  • Hostnames, proxy snippets, header sets, path prefixes, listener ports, and route-specific cookies
  • The exact request shape that reaches the decisive backend or branch
  • One compact host -> proxy -> service -> process map for the active path

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 Runtime Routing AI skill do?

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for reverse proxies, Host headers, forwarded headers, vhost routing, websocket upgrades, path-prefix rewriting, base-URL derivation, and multi-node route resolution. Use when the user asks which host or container serves a route, why a public-looking domain still belongs to the sandbox, how headers or proxies change behavior, or how a route resolves across proxy, container, and worker boundaries. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Why use Competition Runtime Routing on TypingMind?

Because you install it once and use it with any model. Competition Runtime Routing 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 Runtime Routing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-runtime-routing. 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 Runtime Routing?

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 Runtime Routing?

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

Is the Competition Runtime Routing 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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