Competition Linux Credential Pivot logo

Competition Linux Credential Pivot

CommunityPopular
zhaoxuya520
competition-linux-credential-pivot

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Linux credential artifacts, service tokens, SSH material, cloud and container secrets, socket-level trust, and host-to-host pivot chains. Use when the user asks to trace Linux auth artifacts, accepted token or key replay, socket or service-account trust edges, sudo or capability abuse, or explain lateral movement across Linux challenge nodes. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namecompetition-linux-credential-pivot
Stars
36.3K
Forks
5K
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 2 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 Competition Linux Credential Pivot AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/CTF-Sandbox-Orchestrator/competition-linux-credential-pivot .claude/skills/competition-linux-credential-pivot
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Linux Credential Pivot 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 Competition Linux Credential Pivot 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 Competition Linux Credential Pivot 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.

Competition Linux Credential Pivot

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 edge is Linux credential material and where that material is accepted.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Separate credential storage from accepted privilege.
  2. Record user, process, namespace, socket, key file, and service trust boundary before conclusions.
  3. Keep artifact recovery, replay path, and resulting capability in one chain.
  4. Distinguish local escalation from lateral host pivot.
  5. Reproduce one minimal artifact-to-accepted-access path.

Workflow

1. Map Credential And Trust Artifacts

  • Record SSH keys, agent sockets, kubeconfigs, cloud tokens, service-account secrets, env vars, config files, and process memory clues.
  • Note sudoers rules, capabilities, setuid binaries, systemd unit context, and namespace boundaries.
  • Keep each artifact tied to owner, scope, and expected accepting service.

2. Prove Replay And Pivot

  • Show where key, token, socket, or secret is accepted: SSH, API, Unix socket, container runtime, or control-plane endpoint.
  • Record host target, protocol, principal, and resulting session or privilege.
  • Distinguish authentication success from useful capability gain.

3. Reduce To Decisive Linux Pivot Chain

  • Compress to: recovered artifact -> accepted replay path -> pivot host or privilege transition -> resulting capability.
  • State whether root cause is weak key handling, token leakage, socket trust, sudo or capability abuse, or namespace crossover.
  • If the chain pivots into kernel exploit boundaries, hand off to kernel container escape skill.

Read This Reference

  • Load references/linux-credential-pivot.md for artifact checklists, replay matrix, and evidence packaging.

What To Preserve

  • Artifact path, owner, scope, accepting service, and resulting principal
  • Exact pivot order with protocol and target host or namespace
  • One minimal replayable chain proving capability gain

Bundled files

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

Frequently asked questions

What does the Competition Linux Credential Pivot AI skill do?

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Linux credential artifacts, service tokens, SSH material, cloud and container secrets, socket-level trust, and host-to-host pivot chains. Use when the user asks to trace Linux auth artifacts, accepted token or key replay, socket or service-account trust edges, sudo or capability abuse, or explain lateral movement across Linux challenge nodes. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Why use Competition Linux Credential Pivot on TypingMind?

Because you install it once and use it with any model. Competition Linux Credential Pivot 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 Competition Linux Credential Pivot in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-linux-credential-pivot. 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 Competition Linux Credential Pivot?

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 Competition Linux Credential Pivot?

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

Is the Competition Linux Credential Pivot 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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