ios-engineer

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

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.

agentmods
npx agentmods add skills/i-stack/ai-coding-kit/ios-engineer
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.

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. Scan, not verified.
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 $0.00195 $0.06249
Opus 5 $0.00097 $0.03125
Sonnet 5 $0.00039 $0.01250
Haiku 4.5 $0.00019 $0.00625

Measured yesterday against content hash 0cffbf2821c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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. yesterday 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 yesterday), licensed MIT. It adds 195 tokens to every session and 6,249 once invoked, about $0.0010 per session on Opus 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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