Competition Ios Runtime

CommunityPopular

zhaoxuya520

competition-ios-runtime

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for IPA runtime analysis, Frida hooks, Objective-C or Swift method tracing, Keychain inspection, SSL pinning bypass, URL scheme handling, and iOS request-signing recovery. Use when the user asks to hook an IPA, trace Objective-C or Swift runtime behavior, inspect Keychain or plist state, bypass pinning, analyze deeplinks or universal links, or replay accepted iOS requests. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

Overview

Publisher	zhaoxuya520
Repository	`reverse-skill`
Skill name	`competition-ios-runtime`
Stars	36.3K
Forks	5K
Bundled files	2
License	MIT
Links	Skill source Repository

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 Ios Runtime AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-ios-runtime

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-ios-runtime .claude/skills/competition-ios-runtime

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competition Ios Runtime 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 Ios Runtime 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 Ios Runtime 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 iOS Runtime

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 path runs through live iOS trust boundaries rather than static strings or plist values alone.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

Preserve the original IPA, extracted bundle, and any decrypted or re-signed copy as separate artifacts.
Start with Info.plist, entitlements, URL schemes, frameworks, Keychain usage, and local app storage before broad runtime hooks.
Choose the narrowest runtime boundary that proves behavior: signer, trust evaluator, Keychain accessor, Objective-C or Swift method, or network request builder.
Correlate static bundle evidence and live hook output before claiming the trust path is understood.
Reproduce the accepted request, token, or gated branch from the smallest hook set.

Workflow

1. Static iOS Triage

Map bundle structure, Info.plist, entitlements, URL schemes, universal links, embedded frameworks, and app group paths.
Record likely trust boundaries: request signers, device binding, certificate checks, jailbreak checks, Keychain access, or local cache loading.
Note whether sensitive logic sits in Objective-C, Swift, embedded frameworks, or a bundled web surface.

2. Hook The Runtime Boundary

Prefer hooking request builders, crypto helpers, trust evaluators, Keychain reads, or Objective-C selectors instead of broad UI handlers.
Record plaintext inputs, headers, nonces, signed strings, and outputs at the boundary that changes server acceptance.
Patch or bypass pinning or environment checks only enough to expose the real request path.

3. Replay The Accepted Path

Rebuild the smallest stateful sequence: local token, device identifier, request body, signature, headers, and trust checks.
Keep hook logs, bundle paths, plist keys, and local storage artifacts tied to the same session or account state.
If the task becomes mostly about transform recovery instead of iOS runtime, switch back to the broader crypto or mobile skill.

Read This Reference

Load references/ios-runtime.md for hook targets, storage checklist, and evidence packaging.

What To Preserve

Bundle paths, entitlements, plist keys, selectors, class names, hook points, and header names
Keychain items, local DB or plist paths, URL schemes, and app-group storage locations
The smallest replayable request or branch that proves the iOS trust boundary

Bundled files

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

agents/openai.yaml1 KB
references/ios-runtime.md1 KB

Frequently asked questions

What does the Competition Ios Runtime AI skill do?

Why use Competition Ios Runtime on TypingMind?

Because you install it once and use it with any model. Competition Ios Runtime 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 Ios Runtime in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-ios-runtime. 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 Ios Runtime?

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 Ios Runtime?

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

Is the Competition Ios Runtime 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Competition iOS Runtime

Quick Start

Workflow

1. Static iOS Triage

2. Hook The Runtime Boundary

3. Replay The Accepted Path

Read This Reference

What To Preserve

Bundled files

Frequently asked questions

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