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.
npx skills add 2233admin/reverse-skill-evolver --skill competition-ios-runtimegit clone --depth 1 https://github.com/2233admin/reverse-skill-evolverWrote 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.
[](https://agentmods.dev/skills/2233admin/reverse-skill-evolver/competition-ios-runtime)<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/competition-ios-runtime"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/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.
<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/competition-ios-runtime"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/competition-ios-runtime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
This is a copy
100% identical to competition-ios-runtime — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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
- 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.
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.
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.
- 1mo ago First seen · 51 lines · 123 tokens per session scan A 11a041d6729a
competition-ios-runtime is a skill published in the GitHub repository 2233admin/reverse-skill-evolver (17 stars, last pushed 2d 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. It is 100% identical to competition-ios-runtime, differing in 0 lines, and is treated as a copy.
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