competition-container-runtime

competition-container-runtime is a skill for Codex from zhaoxuya520/reverse-skill. It costs 109 tokens per session (684 once invoked), scanned A, original, MIT.

A specialist guide for examining what a running container or pod is actually doing, including mounts, sidecars, startup processes, and network routes.

In plain words
What is it for?
Use it in authorized CTF sandbox investigations to trace mounted secrets, initialization output, entrypoints, namespaces, and the route from a host or proxy to the process serving a request.
Why use it?
It helps explain differences between deployment files and the live system, such as a secret or generated configuration being used by a different process than expected.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it in authorized CTF sandbox investigations to trace mounted secrets, initialization output, entrypoints, namespaces, and the route from a host or proxy to the process serving a request.

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Install with agentmods
npx agentmods add skills/zhaoxuya520/reverse-skill/competition-container-runtime
About the project

Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.

zhaoxuya520/reverse-skill · 35,027 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zhaoxuya520/reverse-skill --skill competition-container-runtime
Clone the repo
git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for competition-container-runtime

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-container-runtime/github.svg)](https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-container-runtime)
Your own site
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-container-runtime"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-container-runtime/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for competition-container-runtime

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-container-runtime"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-container-runtime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.00684
Opus 5 $0.00055 $0.00342
Sonnet 5 $0.00022 $0.00137
Haiku 4.5 $0.00011 $0.00068

Measured 9d ago against content hash 87412c06f8ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

competition-container-runtime scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

CTF-Sandbox-Orchestrator/competition-container-runtime/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

  • Load references/container-runtime.md for the runtime checklist, mount-chain checklist, and common live-vs-static pitfalls.
  • If the hard part is kube API permissions, service-account trust, RBAC edges, admission mutations, or controller-created workload drift, prefer $competition-k8s-control-plane.
  • If the hard part is Host-header routing, path-prefix rewriting, or route-to-service mapping across nodes, prefer $competition-runtime-routing.
  • If the hard part is proving container-to-host crossover, kernel attack-surface preconditions, or stable escape primitives, prefer $competition-kernel-container-escape.
  • If the hard part is replaying Linux secrets, socket trust edges, or host-to-host pivots after container foothold, prefer $competition-linux-credential-pivot.

Read the full file on GitHub · 52 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 52 lines · 109 tokens per session scan A 87412c06f8ca

Subscribe to this mod's changes

competition-container-runtime is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,027 stars, last pushed 5d ago), licensed MIT. It adds 109 tokens to every session and 684 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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