competition-k8s-control-plane

competition-k8s-control-plane is a skill for Codex from xAmirHamza77/ReverseOps-Skill. It costs 117 tokens per session (677 once invoked), scanned A, a copy of competition-k8s-control-plane, MIT.

A specialized workflow for investigating Kubernetes control-plane access in a controlled cybersecurity challenge environment. Kubernetes is a system for running and managing containers; its control plane stores the rules and objects that govern workloads.

In plain words
What is it for?
Use it to inspect service accounts, roles, permissions, admission hooks, controllers, namespaces, secrets, owner references, and workload mutations.
Why use it?
It compares intended configuration with live cluster state and connects permissions or secrets to the workload changes they enable.

Skill for Codex

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

Good fit Use it to inspect service accounts, roles, permissions, admission hooks, controllers, namespaces, secrets, owner references, and workload mutations.

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Install with agentmods
npx agentmods add skills/xamirhamza77/reverseops-skill/competition-k8s-control-plane
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 xAmirHamza77/ReverseOps-Skill --skill competition-k8s-control-plane
Clone the repo
git clone --depth 1 https://github.com/xAmirHamza77/ReverseOps-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-k8s-control-plane

README.md
[![agentmods](https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-k8s-control-plane/github.svg)](https://agentmods.dev/skills/xamirhamza77/reverseops-skill/competition-k8s-control-plane)
Your own site
<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/competition-k8s-control-plane"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-k8s-control-plane/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-k8s-control-plane

Your own site · 80×15
<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/competition-k8s-control-plane"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-k8s-control-plane.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 677 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.
Origin 100% copy Near-identical to another mod 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 $0.00117 $0.00677
Opus 5 $0.00059 $0.00338
Sonnet 5 $0.00023 $0.00135
Haiku 4.5 $0.00012 $0.00068

Measured 10d ago against content hash 18fa637d9926, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

competition-k8s-control-plane 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 10d 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

This is a copy

100% identical to competition-k8s-control-plane — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CTF-Sandbox/competition-k8s-control-plane/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 K8s Control Plane

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 path runs through Kubernetes control-plane state, API permissions, or controller behavior rather than a single container's runtime alone.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Separate manifest intent from live cluster state: API objects, mutations, controllers, secrets, and resulting workloads.
  2. Identify the active principal first: service account, kubeconfig identity, node credential, webhook, or controller.
  3. Map the smallest control-plane edge to its workload effect.
  4. Keep RBAC, service accounts, owner references, namespace boundaries, and secret consumers in compact evidence blocks.
  5. Reproduce the smallest cluster action that yields the decisive workload or secret effect.

Workflow

1. Map The API Trust Path

  • Record namespaces, service accounts, Roles, ClusterRoles, bindings, admission hooks, controllers, and the resources they can mutate.
  • Distinguish read access, create access, patch access, exec access, and secret access.
  • Keep principal, verb, resource, namespace, and resulting object in one chain.

2. Trace Mutation To Workload State

  • Show how an API action becomes a pod, volume mount, secret exposure, env injection, job run, or controller-created artifact.
  • Compare checked-in YAML against live objects after defaulting, admission mutation, or controller reconciliation.
  • Distinguish pod-runtime behavior from cluster-level mutation logic.

3. Reduce To The Decisive Cluster Path

  • Compress the result to the smallest chain: principal -> API permission -> mutated object -> resulting workload, secret, or route effect.
  • Keep kube objects, live describes, and consumed secret or config paths tied to the same namespace and controller.
  • If the problem narrows down to one container's mount or runtime deviation, switch back to the tighter container-runtime skill.

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. 10d ago First seen · 52 lines · 117 tokens per session scan A 18fa637d9926

Subscribe to this mod's changes

competition-k8s-control-plane is a skill published in the GitHub repository xAmirHamza77/ReverseOps-Skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 117 tokens to every session and 677 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to competition-k8s-control-plane, differing in 0 lines, and is treated as a copy.

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