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 pproenca/dot-skills --skill adversarial-ios-designgit clone --depth 1 https://github.com/pproenca/dot-skillsWrote 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/pproenca/dot-skills/adversarial-ios-design)<a href="https://agentmods.dev/skills/pproenca/dot-skills/adversarial-ios-design"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/adversarial-ios-design.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Rogue Agent · line 36 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 Excessive Agency · line 55 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00217 | $0.03195 |
| Opus 5 | $0.00109 | $0.01597 |
| Sonnet 5 | $0.00043 | $0.00639 |
| Haiku 4.5 | $0.00022 | $0.00319 |
Grade A, and why
adversarial-ios-design 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adversarial iOS Design Gate
An iOS design-and-UX review gate — pass/fail: a single blind reviewer subagent judges the work against this gate's rules with an adversarial mandate, and the work passes only when every rule is PASS or N/A. This skill renders verdicts; it never fixes the work.
The gate judges rendered user interface, not source text. Capturing evidence — simulator screenshots and interaction recordings tiled into filmstrips — is a mandatory protocol step, and the reviewer works backwards from the pixels: observe the captures, suspect violations, then open code only to locate them. Code-only review is the gate's recorded failure mode: it turns the gate into a linter that prescribes animations it has never seen.
The rules are the decidable subset of what an Apple design review would flag — every rule names the evidence that decides it, drawn from the Human Interface Guidelines, WWDC design sessions, and Apple's own measured app conventions. The gate judges the failure modes agents and experienced-but-not-expert developers actually ship: hamburger drawers where tab bars belong, pushed forms that lose drafts on a swipe, alerts that say "Yes"/"No", blank empty states, whole-screen spinners, teleporting state changes, glass painted on content, and text that clips at accessibility sizes.
When to Apply
- A user-facing SwiftUI screen, feature, or PR is about to merge and needs an objective PASS/FAIL on design and UX quality, not advisory feedback.
- An agent (Claude, Codex) authored the UI and you want an independent check that it follows platform grammar — modality, navigation structure, alert discipline, feedback states — rather than web/Android idioms translated into Swift.
- A screen "works" but feels non-native, and you want the decidable causes enumerated with locations instead of taste adjectives.
- A design polish pass claims Apple-level quality and you want that claim tested against what the screen actually renders — screenshots and filmstrips — not against what the code implies.
- A previous "polish" or gate-driven fix round made the UI busier — added animations, haptics, or decoration — and you want the restraint direction enforced: gratuitous motion fails, and every fix must be the minimal change with removal preferred over addition.
- The diff changes gestures or interaction behavior (recognizers, drag/long-press/resize, custom
ButtonStyle/PrimitiveButtonStyleimplementations) — run this gate, with its capture protocol, before the sibling architecture gates: recognizer arbitration is invisible to code-only review, a single clean trial is not evidence (see the repeated-trials requirement in references/_evidence-capture.md), and sequencing this gate last is how interaction regressions ship looking reviewed.
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.
- assets/templates/verdict.md 2.7 KB
- gotchas.md 14 KB
- metadata.json 2.1 KB
- references/_evidence-capture.md 6.3 KB
- references/_sections.md 6.0 KB
- references/color-contrast-floors.md 3.5 KB
- references/color-dark-variants.md 3.1 KB
- references/color-label-ladder.md 2.8 KB
- references/color-not-alone.md 2.7 KB
- references/color-scrim-over-images.md 3.3 KB
- references/color-semantic-roles.md 2.4 KB
- references/color-system-backgrounds.md 2.8 KB
- references/craft-no-appearance-lock.md 2.7 KB
- references/craft-numeric-text.md 3.4 KB
- references/craft-symbol-text-sizing.md 3.0 KB
- references/flow-alert-button-grammar.md 3.2 KB
- references/flow-alerts-actionable-only.md 2.6 KB
- references/flow-confirmationdialog-destructive.md 3.8 KB
- references/flow-fullscreencover-media-only.md 3.4 KB
- references/flow-no-confirm-undoable-deletes.md 3.9 KB
- references/flow-onboarding-optional.md 3.3 KB
- references/flow-one-sheet-at-a-time.md 3.0 KB
- references/flow-protect-unsaved-sheets.md 4.3 KB
- references/flow-settings-in-context.md 3.2 KB
- references/flow-sheet-dismiss-affordances.md 3.5 KB
- references/flow-sheet-for-self-contained-tasks.md 4.5 KB
- references/glass-floating-layer-only.md 3.3 KB
- references/glass-one-tinted-action-per-bar.md 3.1 KB
- references/glass-preserve-edge-effects.md 3.4 KB
- references/haptic-documented-meanings.md 2.9 KB
- references/haptic-no-doubling-standard-controls.md 2.6 KB
- references/haptic-no-spam.md 3.1 KB
- references/haptic-significant-outcomes.md 3.9 KB
- references/layout-bleed-backgrounds-respect-safe-areas.md 3.4 KB
- references/layout-concentric-corners.md 2.8 KB
- references/layout-inset-buttons.md 2.8 KB
- references/layout-no-fixed-text-cages.md 2.4 KB
- references/layout-touch-targets.md 3.5 KB
- references/motion-animate-structural-changes.md 4.4 KB
- references/motion-bounce-cap.md 3.8 KB
- references/motion-brief-feedback.md 3.7 KB
- references/motion-no-gratuitous-animation.md 4.0 KB
- references/motion-reduce-motion-path.md 3.8 KB
- references/motion-springs-over-curves.md 3.8 KB
- references/motion-zoom-transitions.md 5.4 KB
- references/nav-five-tabs-max.md 2.7 KB
- references/nav-search-system-affordances.md 2.9 KB
- references/nav-stable-tab-bar.md 3.6 KB
- references/nav-stack-per-tab.md 2.6 KB
- references/nav-system-back-button.md 2.4 KB
- references/nav-tabs-navigate-not-act.md 3.2 KB
- references/nav-tabview-for-top-level.md 3.3 KB
- references/nav-title-every-screen.md 2.9 KB
- references/reviewer-prompt.md 9.8 KB
- references/state-designed-empty-states.md 3.6 KB
- references/state-determinate-progress.md 2.9 KB
- references/state-error-recovery.md 3.2 KB
- references/state-launch-screen-replica.md 2.8 KB
- references/state-skeleton-over-spinner.md 3.7 KB
- references/type-minimum-eleven-points.md 2.2 KB
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.
- 8d ago First seen · 85 lines · 217 tokens per session scan A e5102d2dbd22
adversarial-ios-design is a skill published in the GitHub repository pproenca/dot-skills (203 stars, last pushed 23d ago), licensed MIT. It adds 217 tokens to every session and 3,195 once invoked, about $0.0011 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 2026-08-30.
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