Competition Jwt Claim Confusion logo

Competition Jwt Claim Confusion

CommunityPopular
zhaoxuya520
competition-jwt-claim-confusion

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for JWT, JWS, and JWE validation paths, header parsing, key selection, claim acceptance, audience and issuer checks, role derivation, and token-to-identity confusion bugs. Use when the user asks to inspect JWT headers or claims, key lookup, `kid` handling, `alg` confusion, audience or issuer validation, role claims, or explain how a token becomes accepted identity or privilege. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisherzhaoxuya520
Repositoryreverse-skill
Skill namecompetition-jwt-claim-confusion
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 Jwt Claim Confusion 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-jwt-claim-confusion .claude/skills/competition-jwt-claim-confusion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Jwt Claim Confusion 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 Jwt Claim Confusion 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 Jwt Claim Confusion 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 JWT Claim Confusion

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 bug is not just "there is a JWT," but how headers, claims, and key selection turn into accepted identity.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Split the token path into parse, key lookup, signature or decryption, claim validation, and final acceptance.
  2. Record header fields, claims, key source, issuer, audience, and role mapping before mutating anything.
  3. Separate possession of a token from the exact service that accepts it.
  4. Keep parser behavior, trust policy, and resulting app session or privilege in one chain.
  5. Reproduce the smallest token-to-acceptance flow that proves the decisive confusion.

Workflow

1. Map Header And Key Selection

  • Record header fields such as alg, kid, typ, cty, jku, or embedded key material when present.
  • Note where keys come from: static config, JWKS, local file, cache, or dynamic lookup.
  • Keep token parser, key selection path, and validation mode tied together.

2. Prove Claim-To-Privilege Acceptance

  • Show how subject, audience, issuer, tenant, scope, role, or custom claims become app session, route access, or backend privilege.
  • Record expiration, not-before, clock skew, issuer matching, audience matching, and claim normalization behavior.
  • Distinguish token parse success from actual authorization success.

3. Reduce To The Decisive JWT Path

  • Compress the result to the smallest sequence: token supplied -> parser or key path taken -> claim accepted -> resulting capability.
  • Keep one canonical accepted token path and one mutated token path if confusion or bypass depends on a delta.
  • If the task broadens into a larger OAuth redirect chain, hand back to the tighter OAuth skill.

Read This Reference

  • Load references/jwt-claim-confusion.md for the header checklist, claim checklist, and evidence packaging.

What To Preserve

  • Raw headers, claims, key source, JWKS or local key path, and the accepting service
  • The exact validation or normalization step that turns the token into accepted identity
  • One minimal replayable token-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 Jwt Claim Confusion AI skill do?

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for JWT, JWS, and JWE validation paths, header parsing, key selection, claim acceptance, audience and issuer checks, role derivation, and token-to-identity confusion bugs. Use when the user asks to inspect JWT headers or claims, key lookup, `kid` handling, `alg` confusion, audience or issuer validation, role claims, or explain how a token becomes accepted identity or privilege. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Why use Competition Jwt Claim Confusion on TypingMind?

Because you install it once and use it with any model. Competition Jwt Claim Confusion 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 Jwt Claim Confusion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-jwt-claim-confusion. 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 Jwt Claim Confusion?

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 Jwt Claim Confusion?

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

Is the Competition Jwt Claim Confusion 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇