Competition Kerberos Delegation logo

Competition Kerberos Delegation

CommunityPopular
zhaoxuya520
competition-kerberos-delegation

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Kerberos delegation, SPN trust edges, S4U abuse, RBCD, constrained or unconstrained delegation, and service-ticket acceptance. Use when the user asks about constrained delegation, unconstrained delegation, RBCD, S4U, SPNs, ticket acceptance, or how a Kerberos trust edge turns into effective privilege under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namecompetition-kerberos-delegation
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 Kerberos Delegation 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-kerberos-delegation .claude/skills/competition-kerberos-delegation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Kerberos Delegation 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 Kerberos Delegation 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 Kerberos Delegation 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 Kerberos Delegation

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 hard part is not "is there Kerberos here," but which delegation edge exists, which ticket is being minted, and which service really accepts it.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Write the trust chain first: principal -> delegation edge -> ticket type -> target SPN -> accepting service -> resulting privilege.
  2. Separate ticket possession from accepted privilege.
  3. Keep SPNs, delegation mode, PAC/group data, encryption type, and service acceptance in one compact evidence block.
  4. Reproduce one minimal delegation chain before broadening into variants.
  5. Tie every privilege claim to a specific accepted ticket or service-side effect.

Workflow

1. Identify The Delegation Edge

  • Determine whether the path is constrained delegation, unconstrained delegation, resource-based constrained delegation, protocol transition, or another trust edge.
  • Inspect SPNs, ACLs, service accounts, SIDHistory, certificate templates, and replication rights only when they affect the active path.

2. Trace Ticket Minting And Acceptance

  • Record TGT/TGS type, S4U steps when relevant, delegation flags, PAC or group data, encryption type, cache location, and target SPN.
  • Prove which service actually accepts the ticket and what capability appears after acceptance.

3. Report The Effective Edge

  • Compress the chain into one replayable path, not a vague "domain compromise" statement.
  • Separate candidate edges from the edge that really lands privilege.

Read This Reference

  • Load references/kerberos-delegation.md for the delegation checklist, ticket fields to preserve, and common proof mistakes.

What To Preserve

  • SPN, ticket type, delegation mode, PAC/group data, encryption type, cache location, accepting service
  • Service-side logs, event IDs, logon session changes, or group changes proving effective privilege
  • The exact trust edge that makes the ticket replayable

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 Kerberos Delegation AI skill do?

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Kerberos delegation, SPN trust edges, S4U abuse, RBCD, constrained or unconstrained delegation, and service-ticket acceptance. Use when the user asks about constrained delegation, unconstrained delegation, RBCD, S4U, SPNs, ticket acceptance, or how a Kerberos trust edge turns into effective privilege under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Why use Competition Kerberos Delegation on TypingMind?

Because you install it once and use it with any model. Competition Kerberos Delegation 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 Kerberos Delegation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-kerberos-delegation. 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 Kerberos Delegation?

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 Kerberos Delegation?

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

Is the Competition Kerberos Delegation 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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