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Competition Identity Windows

CommunityPopular
zhaoxuya520
competition-identity-windows

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Active Directory, Kerberos, LDAP, OAuth, enterprise messaging, Windows host forensics, credential material, and lateral-movement challenges. Use when the user asks to trace tickets or tokens, inspect mailbox rules, analyze Windows host evidence, understand an AD trust path, or explain a lateral-movement chain across sandbox-linked nodes. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namecompetition-identity-windows
Stars
36.3K
Forks
5K
Bundled files
2
LicenseMIT
Links
  • 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 Identity Windows 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-identity-windows .claude/skills/competition-identity-windows
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Identity Windows 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 Identity Windows 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 Identity Windows 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 Identity Windows

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 challenge revolves around identity flow, replayable credentials, Windows host artifacts, enterprise mail, or lateral movement.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Map the identity or pivot chain before diving into every host artifact.
  2. Separate credential possession from accepted privilege.
  3. Correlate identity evidence, host evidence, and mail evidence on one timeline.
  4. Keep tickets, SIDs, event IDs, mailbox rules, and pivot hosts in compact evidence blocks.
  5. Reproduce the privilege edge or mail effect from the smallest viable chain.

Workflow

1. Identity And AD

  • Trace principal origin, sync path, token or ticket minting, claims transformation, group resolution, and accepting service.
  • When Kerberos matters, record ticket type, SPN, delegation mode, PAC or group data, encryption type, and cache location.

2. Windows Host And Pivoting

  • Correlate SAM, SECURITY, SYSTEM, NTDS, DPAPI, LSA secrets, ETW, Sysmon, PowerShell, services, tasks, WMI, WinRM, SMB, and RDP as one pivot graph.
  • Express movement as a concrete chain: foothold -> recovered artifact -> replay path -> pivot host -> resulting capability.

3. Enterprise Messaging

  • Keep phishing lures, consent logs, mailbox rules, and identity-provider events tied together so the mail path and privilege path stay connected.

Read This Reference

  • Load references/identity-windows.md for the ticket, host, and enterprise-messaging checklist.
  • If the task is primarily a host-to-host pivot, Kerberos replay, or Windows privilege chain, prefer $competition-windows-pivot.
  • If the task is specifically about constrained delegation, unconstrained delegation, RBCD, S4U, or ticket-acceptance proof, prefer $competition-kerberos-delegation.
  • If the task is specifically about AD CS, certificate templates, EKUs, enrollment rights, PKINIT, or cert-based privilege, prefer $competition-ad-certificate-abuse.
  • If the task is specifically about OAuth or OIDC claims, callback flow, scopes, consent, or accepted login identity, prefer $competition-oauth-oidc-chain.
  • If the task is specifically about DPAPI masterkeys, vault blobs, browser or vault secrets, backup-key use, or protected-secret-to-access chains, prefer $competition-dpapi-credential-chain.
  • If the task is specifically about LSASS memory, ticket caches, LUID-linked material, DPAPI context, or replayable host credential artifacts, prefer $competition-lsass-ticket-material.
  • If the task is specifically about mailbox rules, forwarding, OAuth consent, delegate access, or transport-level mail abuse, prefer $competition-mailbox-abuse.
  • If the task is specifically about forced authentication, relay targets, or proving which service accepts relayed auth, prefer $competition-relay-coercion-chain.

What To Preserve

  • SIDs, SPNs, ticket fields, event IDs, mailbox rules, and replay points
  • Exact host-to-host pivot order and the service that accepts the credential or ticket
  • Raw artifacts, parsed summaries, and derived timelines as separate outputs

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 Identity Windows AI skill do?

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Active Directory, Kerberos, LDAP, OAuth, enterprise messaging, Windows host forensics, credential material, and lateral-movement challenges. Use when the user asks to trace tickets or tokens, inspect mailbox rules, analyze Windows host evidence, understand an AD trust path, or explain a lateral-movement chain across sandbox-linked nodes. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Why use Competition Identity Windows on TypingMind?

Because you install it once and use it with any model. Competition Identity Windows 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 Identity Windows in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-identity-windows. 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 Identity Windows?

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 Identity Windows?

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

Is the Competition Identity Windows 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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