Cloud K8s

CommunityPopular

zhaoxuya520

cloud-k8s

Use for authorized cloud, container, and Kubernetes security assessment including metadata SSRF, IAM misconfig, container escape paths, and cluster RBAC review.

Overview

Publisher	zhaoxuya520
Repository	`reverse-skill`
Skill name	`cloud-k8s`
Stars	36.3K
Forks	5K
Bundled files	1
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.
1 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 Cloud K8s 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.

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/skills/cloud-k8s .claude/skills/cloud-k8s

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

Use it in TypingMind

Enable Cloud K8s 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 Cloud K8s 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 Cloud K8s 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.

Cloud / Container / Kubernetes Security

ACTION REQUIRED（读完后立刻执行）

NOW: 读取 ../field-journal/precedent-pentest.md — 云/K8s 测试必须书面授权
NOW: case-init + scope；明确账号边界、禁止破坏性操作
NOW: 确认是云元数据/容器/K8s/IAM，而非普通 Web 扫（后者 pentest-tools/）
NEXT: tool-index；kubectl/aws/gcloud 等多为手动安装
ACT: 从「身份与暴露面」开始，禁止默认全网扫描

适用场景

云元数据 SSRF（169.254.169.254 / IMDS）
IAM 过度权限、公开存储桶、错误安全组
Docker/containerd 逃逸路径评估
Kubernetes RBAC、Secrets、Admission、供应链镜像
容器镜像漏洞（可联动 supply-chain-security/）

工作流

Phase 1 — 身份与边界

text
□ 当前身份：云 AK/SK、K8s SA、节点 SSH？
□ 范围：单账号 / 单 cluster / 单 namespace
□ 网络档：authorized_target_only

Phase 2 — 云控制面

bash
# 示例（按厂商替换；MUST 在授权账号内）
aws sts get-caller-identity
aws s3 ls
# Azure / GCP 对应 identity 命令

text
□ 公开桶 / 错误 ACL
□ 元数据：IMDSv1 vs v2；SSRF 链
□ 角色可扮演（PassRole）与横向

Phase 3 — 容器

text
□ 是否 privileged / hostPath / hostNetwork
□ capabilities（SYS_ADMIN 等）
□ 可写宿主机路径 → 逃逸候选
□ 镜像历史与已知 CVE → Trivy

Phase 4 — Kubernetes

bash
kubectl auth can-i --list
kubectl get pods,secrets,svc -A
kubectl get clusterrolebindings

text
□ SA token 挂载与权限
□ 危险 admission webhook 缺失
□ etcd / dashboard 暴露
□ 网络策略是否默认放行

工具链

工具	用途	自举
kubectl	集群交互	手动
trivy	镜像/IaC	bootstrap `trivy` 若可用
kube-bench / kubeaudit	CIS/配置	手动
pacu / scoutsuite	云审计（授权）	手动
nuclei	已知云漏洞模板	bootstrap nmap/nuclei 生态

参考

references/k8s-cloud-checklist.md
CTF 对照：../../CTF-Sandbox-Orchestrator/competition-agent-cloud/
../supply-chain-security/ ../pentest-tools/

路由上下文

上游: MASTER R23
下游: 拿到节点 shell → attack-chain / windows-ad；镜像漏洞 → supply-chain
MUST NOT: 未授权扫公有云其他租户

任务完成自检

是否限定在授权账号/cluster？
发现是否含复现与影响？
是否避免破坏性操作？
报告 / journal？

Bundled files

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

references/k8s-cloud-checklist.md1 KB

Frequently asked questions

What does the Cloud K8s AI skill do?

Use for authorized cloud, container, and Kubernetes security assessment including metadata SSRF, IAM misconfig, container escape paths, and cluster RBAC review.

Why use Cloud K8s on TypingMind?

Because you install it once and use it with any model. Cloud K8s 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 Cloud K8s in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/skills/cloud-k8s. 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 Cloud K8s?

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 Cloud K8s?

As many as you like. As long as a model supports skills, you can use Cloud K8s with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloud K8s 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

Cloud / Container / Kubernetes Security

ACTION REQUIRED（读完后立刻执行）

适用场景

工作流

Phase 1 — 身份与边界

Phase 2 — 云控制面

Phase 3 — 容器

Phase 4 — Kubernetes

工具链

参考

路由上下文

任务完成自检

Bundled files

Frequently asked questions

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