# Competition Container Runtime

Internal downstream skill for ctf-sandbox-orchestrator.

- Repository: https://github.com/zhaoxuya520/reverse-skill (43923 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-09-22
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add zhaoxuya520/reverse-skill --skill competition-container-runtime -g -a claude-code -y`
Codex: `npx skills add zhaoxuya520/reverse-skill --skill competition-container-runtime -g -a codex -y`
Cursor: `npx skills add zhaoxuya520/reverse-skill --skill competition-container-runtime -g -a cursor -y`
Gemini CLI: `npx skills add zhaoxuya520/reverse-skill --skill competition-container-runtime -g -a gemini-cli -y`

## Description

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for live container runtime analysis, mounted secrets, sidecars, namespaces, init containers, entrypoint drift, and route-to-container resolution. Use when the user asks why a live container differs from manifests, where a mounted secret is consumed, how a sidecar or init container changes runtime state, or which route resolves to which live container. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Competition Container Runtime

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 is really about what the live container or pod is doing now, not what the checked-in manifest claims it should do.

Reply in Simplified Chinese unless the user explicitly requests English.

## Quick Start

1. Split intent from reality: manifest, image, startup, live mount, live route, live process.
2. Map host -> proxy -> container or pod -> mounted volume -> consuming process.
3. Keep secrets, rendered config, init output, and sidecar output separate from static manifests.
4. Prove one minimal live path from mounted or injected state to reachable behavior.
5. Reproduce the effect with the smallest runtime-specific chain.

## Workflow

### 1. Map The Live Runtime

- Compare compose or kube manifests against running containers, pods, mounted volumes, env, sidecars, init containers, and entrypoints.
- Identify which process actually consumes the mounted secret, rendered config, or shared volume output.

### 2. Trace Route And Mount Boundaries

- Map virtual host, reverse proxy, service, container port, filesystem mount, and runtime-generated file paths together.
- Record whether the decisive state is image-baked, env-injected, mounted later, or written by an init/sidecar process.

### 3. Report The Runtime Deviation

- State the earliest point where live runtime diverges from checked-in intent.
- Keep one compact evidence chain from manifest or compose intent to live consumer behavior.

## Read This Reference

The rest: https://github.com/zhaoxuya520/reverse-skill/blob/HEAD/CTF-Sandbox-Orchestrator/competition-container-runtime/SKILL.md