Competition Agent Cloud

CommunityPopular

zhaoxuya520

competition-agent-cloud

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AI-agent, prompt-injection, MCP or toolchain, cloud, container, CI/CD, and supply-chain challenges. Use when the user asks to analyze prompt-to-tool flows, retrieval poisoning, mounted secrets, deployment drift, runtime-vs-manifest mismatches, registry provenance, or CI-produced artifacts under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisher	zhaoxuya520
Repository	`reverse-skill`
Skill name	`competition-agent-cloud`
Stars	36.3K
Forks	5K
Bundled files	2
License	MIT
Links	Skill source Repository

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 Agent Cloud AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-agent-cloud

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-agent-cloud .claude/skills/competition-agent-cloud

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Agent Cloud 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 Agent Cloud 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 Agent Cloud 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 Agent Cloud

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 challenge path is driven by prompt-to-tool execution, retrieval and memory boundaries, deployment drift, or build and release provenance.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

Decide whether the dominant path is agentic or infrastructure-driven.
Map one minimal control chain: untrusted input -> visible context -> tool or deployment side effect.
Distinguish checked-in intent from live runtime truth.
Keep prompts, tool args, manifests, mounts, and provenance steps in compact evidence blocks.
Reproduce the exploit or misconfiguration with minimal context and minimal instrumentation.

Workflow

1. Agent And Prompt Injection

Treat prompts, tool schemas, retrieved chunks, planner notes, memory files, and handoffs as challenge artifacts.
Prove one minimal chain from untrusted content to model-visible instruction to tool side effect.
Distinguish claimed capability from runtime-exposed capability.

2. Cloud, Containers, And CI/CD

Split build-time, deploy-time, and runtime.
Reconcile compose or kube manifests with live mounts, env, logs, and traffic.
Trace provenance from source to dependency resolution to build to publish to runtime consumer.

Read This Reference

Load references/agent-cloud.md for the control-stack checklist, deployment-truth checklist, and evidence packaging.
If the task is specifically about prompt-boundary abuse or retrieved-content-to-tool drift, prefer $competition-prompt-injection.
If the task is specifically about CI, dependency provenance, registry drift, or shipped artifacts, prefer $competition-supply-chain.
If the task is specifically about queue payloads, async worker drift, retries, or worker-only runtime state, prefer $competition-queue-worker-drift.
If the task is specifically about SSRF to internal control surfaces, metadata endpoints, or metadata-derived token pivots, prefer $competition-ssrf-metadata-pivot.
If the task is specifically about proxy-upstream parse differentials, ambiguous headers, path normalization drift, or request smuggling behavior, prefer $competition-request-normalization-smuggling.
If the task is specifically about metadata-service access, instance or workload identity, link-local token paths, or metadata-derived privilege, prefer $competition-cloud-metadata-path.
If the task is specifically about kube API permissions, service-account trust, admission behavior, controller drift, or cluster secret exposure, prefer $competition-k8s-control-plane.
If the task is specifically about live mounts, sidecars, init containers, or runtime-only secret exposure, prefer $competition-container-runtime.
If the task is specifically about container-to-host boundary crossing, kernel-surface prerequisites, or escape primitive verification, prefer $competition-kernel-container-escape.

What To Preserve

Prompt snippets, retrieved chunks, planner transitions, and final tool args
Compose or Kubernetes fragments tied to live mounts or routes
Artifact hashes, dependency drift, CI steps, and the resulting runtime consumer

Bundled files

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

agents/openai.yaml1 KB
references/agent-cloud.md1 KB

Frequently asked questions

What does the Competition Agent Cloud AI skill do?

Why use Competition Agent Cloud on TypingMind?

Because you install it once and use it with any model. Competition Agent Cloud 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 Agent Cloud in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-agent-cloud. 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 Agent Cloud?

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 Agent Cloud?

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

Is the Competition Agent Cloud 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Competition Agent Cloud

Quick Start

Workflow

1. Agent And Prompt Injection

2. Cloud, Containers, And CI/CD

Read This Reference

What To Preserve

Bundled files

Frequently asked questions

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