competition-ios-runtime

competition-ios-runtime is a skill for Codex from zhaoxuya520/reverse-skill. It costs 123 tokens per session (689 once invoked), scanned A, original, MIT.

A specialist workflow for analyzing a running iPhone or iPad app from its IPA package, the standard app archive. It combines package inspection with runtime tracing of Objective-C or Swift code, Keychain access, certificate checks, URL schemes, and request signing.

In plain words
What is it for?
Inspect app settings and permissions, trace selected methods, examine Keychain use, test certificate pinning behavior, and recover how the app creates or approves signed network requests.
Why use it?
It helps reveal behavior that is only visible while the app runs, rather than from its files alone. It also connects static evidence with the exact code path that accepts a request or unlocks a feature.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Inspect app settings and permissions, trace selected methods, examine Keychain use, test certificate pinning behavior, and recover how the app creates or approves signed network requests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhaoxuya520/reverse-skill/competition-ios-runtime
About the project

Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.

zhaoxuya520/reverse-skill · 42,152 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zhaoxuya520/reverse-skill --skill competition-ios-runtime
Clone the repo
git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for competition-ios-runtime

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-ios-runtime/github.svg)](https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-ios-runtime)
Your own site
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-ios-runtime"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-ios-runtime/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for competition-ios-runtime

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-ios-runtime"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-ios-runtime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 689 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 9 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 27
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 32
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Rogue Agent · line 3
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 10
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 17
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 26
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 39
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 48
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 49
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.00689
Opus 5.5 $0.00049 $0.00276
Sonnet 5.5 $0.00025 $0.00138
Haiku 4.5 $0.00012 $0.00069

Measured 1mo ago against content hash 11a041d6729a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competition-ios-runtime scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

CTF-Sandbox-Orchestrator/competition-ios-runtime/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

  1. Preserve the original IPA, extracted bundle, and any decrypted or re-signed copy as separate artifacts.
  2. Start with Info.plist, entitlements, URL schemes, frameworks, Keychain usage, and local app storage before broad runtime hooks.
  3. Choose the narrowest runtime boundary that proves behavior: signer, trust evaluator, Keychain accessor, Objective-C or Swift method, or network request builder.
  4. Correlate static bundle evidence and live hook output before claiming the trust path is understood.
  5. 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 the full file on GitHub · 51 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 51 lines · 123 tokens per session scan A 11a041d6729a

Subscribe to this mod's changes

competition-ios-runtime is a skill published in the GitHub repository zhaoxuya520/reverse-skill (42,152 stars, last pushed 24d ago), licensed MIT. It adds 123 tokens to every session and 689 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.