ios-engineer

ios-engineer is a skill for Claude Code, Codex from i-stack/ai-coding-kit. It costs 195 tokens per session (6,249 once invoked), scanned A, original, MIT.

An iOS engineering skill with response-language rules, task-routing guidance, and a mode for challenging technical conclusions.

In plain words
What is it for?
Reviewing or reasoning about iOS code, designs, root causes, performance claims, and technical trade-offs.
Why use it?
It helps produce consistent iOS answers and exposes weak assumptions in architecture, performance, debugging, and review decisions.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions subagents.

Part of the skills-engineering plugin — 10 skills shipped together

Good fit Reviewing or reasoning about iOS code, designs, root causes, performance claims, and technical trade-offs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/i-stack/ai-coding-kit/ios-engineer
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 i-stack/ai-coding-kit --skill ios-engineer
Clone the repo
git clone --depth 1 https://github.com/i-stack/ai-coding-kit

Made for: Claude Code, Codex.

Or install skills-engineering, the plugin that ships this one along with the rest of its 10 skills.

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 ios-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/i-stack/ai-coding-kit/ios-engineer/github.svg)](https://agentmods.dev/skills/i-stack/ai-coding-kit/ios-engineer)
Your own site
<a href="https://agentmods.dev/skills/i-stack/ai-coding-kit/ios-engineer"><img src="https://agentmods.dev/badge/skills/i-stack/ai-coding-kit/ios-engineer/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 ios-engineer

Your own site · 80×15
<a href="https://agentmods.dev/skills/i-stack/ai-coding-kit/ios-engineer"><img src="https://agentmods.dev/badge/skills/i-stack/ai-coding-kit/ios-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 195 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,249 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.
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 $0.00195 $0.06249
Opus 5.5 $0.00078 $0.02500
Sonnet 5.5 $0.00039 $0.01250
Haiku 4.5 $0.00019 $0.00625

Measured 1mo ago against content hash 0cffbf2821c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ios-engineer 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.

The scan reads SKILL.md. This mod also ships 19 executable files (evolution/history/v64/snapshot/scripts/append_usage_entry.sh, evolution/history/v64/snapshot/scripts/approve_skill_promotion.sh, evolution/history/v64/snapshot/scripts/check_skill_promotion_readiness.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills-engineering/ios-engineer/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

iOS Engineer

Cognitive Adversary Mode (Mandatory — Strict Execution)

When the scenario is triggered, read and strictly follow cognitive_adversary_mode.md in order (role, Steps 0–6, final output format, and forbidden behaviors are all defined there; no skipping steps, no omitting fields, no substituting "first agree then weakly rebut" for the Step 1 strongest counter-argument).

  • When to enable: Technical decisions / architecture trade-offs / root cause & performance attribution / final review judgments / user expresses strong conviction or explicitly asks "challenge me / don't sycophant / red team"; see the ref's "Trigger Phrases" section for shorthand triggers.
  • Relationship with Iron Rules: This mode governs cognitive calibration (approaching truth); IRs and ROUTEs below govern engineering delivery; when in conflict, "closer to truth" takes precedence, but engineering output must still satisfy GR-004 / IR-006 / GR-008 / GR-010 etc.
  • Division with cognitive-expansion: When CAM is NOT triggered, the main answer is followed by the full cognitive-expansion skill; 【Deep-dive】/【Expand】 deepen & broaden without duplicating Steps 0–6.

Core Iron Rules

  • [IR-001] Response language must match the user's input language. If the user writes in Chinese, respond in Chinese; if in English, respond in English. Code comments, Swift/ObjC API names, compiler error literals, crash stacks, tool command output, and log literals are exempt and may remain in their original language. Natural-language content (conversation, analysis, diagnosis, rule output, explanations) must follow the matched language.
  • [IR-006] Any answer involving concurrency (@MainActor / actor / Sendable / async let), availability APIs, SwiftUI behavior, or network cancellation semantics must include an explicit "Version Baseline" block. Choose one: (a) read IPHONEOS_DEPLOYMENT_TARGET and SWIFT_VERSION from the project and state the actual values (e.g., iOS 15.0 / Swift 5.9), or (b) explicitly declare assumed values as "Assuming iOS ≥ N / Swift ≥ M; correct me if wrong." Providing neither or only one is a violation. Prefer reading the project; fall back to explicit assumption only when reading is infeasible or too costly. This skill does not presume a default baseline. See examples.md §1/§2/§4/§5/§6 templates for the "Version Baseline" block and review_checklists.md §8 for the skeleton placement; this block must exist as a standalone paragraph—no merging into "Conclusion" or "Why", no inline prose; field presence must be mechanically verifiable.
  • [IR-011] When the Cognitive Adversary Mode scenario is triggered, the output must include the full cognitive calibration structure: Restatement, Strongest Counter-argument, Hidden Assumptions, Failure Conditions, Falsifiable Conditions, Position Reversal, Sycophancy Self-check, Confidence, Conclusion. Do not omit the Strongest Counter-argument, Position Reversal, or Sycophancy Self-check. See cognitive_adversary_mode.md for complete trigger conditions, steps, and forbidden behaviors.

Read the full file on GitHub · 147 lines

Files

What ships with it

60 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 · 147 lines · 195 tokens per session scan A 0cffbf2821c9

Subscribe to this mod's changes

ios-engineer is a skill published in the GitHub repository i-stack/ai-coding-kit (3 stars, last pushed 23d ago), licensed MIT. It adds 195 tokens to every session and 6,249 once invoked, about $0.0008 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 2026-08-31.

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