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Competition Oauth Oidc Chain

CommunityPopular
zhaoxuya520
competition-oauth-oidc-chain

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for OAuth, OIDC, redirect flows, state or nonce handling, PKCE, token exchange, refresh logic, claim mapping, and accepted login paths. Use when the user asks to trace redirects, callback parameters, scopes, state, nonce, PKCE, refresh tokens, consent, or explain how an OAuth or OIDC chain turns into accepted identity or privilege. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namecompetition-oauth-oidc-chain
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 Oauth Oidc Chain 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-oauth-oidc-chain .claude/skills/competition-oauth-oidc-chain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Oauth Oidc Chain 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 Oauth Oidc Chain 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 Oauth Oidc Chain 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 OAuth OIDC Chain

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 proving how an OAuth or OIDC flow is shaped, exchanged, and ultimately accepted.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Map the auth chain in order: entry route, redirect, authorize request, callback, token exchange, refresh, and final accepting service.
  2. Record scopes, state, nonce, PKCE material, redirect URIs, and claim-bearing tokens before mutating anything.
  3. Separate token possession from actual identity acceptance.
  4. Keep browser-visible redirects and backend-visible token exchange in one compact chain.
  5. Reproduce the smallest redirect-to-acceptance flow that proves the decisive identity edge.

Workflow

1. Map The Redirect And Token Path

  • Record issuer, client ID, redirect URI, authorize parameters, callback parameters, token endpoint, and refresh path.
  • Note which values are user-controlled, derived, cached, or validated: state, nonce, PKCE verifier, audience, scope, or prompt.
  • Keep browser redirects, server-side exchanges, and resulting session state tied together.

2. Prove Token-To-Identity Acceptance

  • Show how code, ID token, access token, or refresh token turns into app session, claims mapping, tenant selection, or accepted privilege.
  • Record token claims, expiration, audience, subject, scopes, and the exact accepting app or backend edge.
  • Distinguish UI login success from backend authorization success.

3. Reduce To The Decisive OAuth Chain

  • Compress the result to the smallest sequence: entry request -> redirect -> callback -> token or claim acceptance -> resulting capability.
  • Keep one canonical good flow and one minimal mutated flow if a parameter change matters.
  • If the task broadens into generic web routing or storage behavior outside the auth chain, switch back to the broader web-runtime skill.

Read This Reference

  • Load references/oauth-oidc-chain.md for the redirect checklist, token checklist, and evidence packaging.
  • If the hard part is JWT header parsing, claim normalization, key lookup, or token validation confusion after issuance, prefer $competition-jwt-claim-confusion.

What To Preserve

  • Redirect URIs, parameters, codes, token claims, scopes, and the accepting service or callback
  • The exact point where claims or tokens become accepted app identity
  • One minimal replayable redirect-to-acceptance sequence

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 Oauth Oidc Chain AI skill do?

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for OAuth, OIDC, redirect flows, state or nonce handling, PKCE, token exchange, refresh logic, claim mapping, and accepted login paths. Use when the user asks to trace redirects, callback parameters, scopes, state, nonce, PKCE, refresh tokens, consent, or explain how an OAuth or OIDC chain turns into accepted identity or privilege. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Why use Competition Oauth Oidc Chain on TypingMind?

Because you install it once and use it with any model. Competition Oauth Oidc Chain 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 Oauth Oidc Chain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-oauth-oidc-chain. 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 Oauth Oidc Chain?

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 Oauth Oidc Chain?

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

Is the Competition Oauth Oidc Chain 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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