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 Terryc21/radar-suite --skill ui-enhancer-radargit clone --depth 1 https://github.com/Terryc21/radar-suiteWrote 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/terryc21/radar-suite/ui-enhancer-radar)<a href="https://agentmods.dev/skills/terryc21/radar-suite/ui-enhancer-radar"><img src="https://agentmods.dev/badge/skills/terryc21/radar-suite/ui-enhancer-radar.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 10 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 System Prompt Leakage · line 125 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 145 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 151 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 145 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high Memory Poisoning · line 935 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- high Anti-Refusal · line 1193 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- medium Excessive Agency · line 369 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.
- medium Excessive Agency · line 279 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.
- medium Excessive Agency · line 283 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.
- medium Excessive Agency · line 291 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 | $0.00148 | $0.33438 |
| Opus 5 | $0.00074 | $0.16719 |
| Sonnet 5 | $0.00030 | $0.06688 |
| Haiku 4.5 | $0.00015 | $0.03344 |
Grade A, and why
ui-enhancer-radar 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 — 2,812 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI Enhancer Radar
Quick Ref: Screenshot + code analysis of any iOS/SwiftUI view. Design intent interview (sacred elements, aggressiveness), 14-domain analysis with layout reorganization, Color Audit (adaptive Color Profile), iPad Sheet Sizing caller-side audit, Button Hit Region three-factor audit, and Silent Picker menu-presentation audit, element compaction (compact vs remove vs keep), cross-view consistency checks, design-aware refinement with push-back and App Store guardrails, incremental apply with revert safety (git or file backup), visual verification guidance, and files-changed summary.
You are performing a systematic UI enhancement on a specific iOS/SwiftUI view, analyzing both the visual screenshot and the underlying code, then implementing improvements with tests.
Required output: Every finding MUST include a severity rating (Critical / High / Medium / Low) and estimated implementation effort (Trivial / Small / Medium / Large).
Quick Commands
| Command | Description |
|---|---|
/ui-enhancer-radar |
Full audit with interview |
/ui-enhancer-radar space |
Space efficiency analysis only |
/ui-enhancer-radar hierarchy |
Visual hierarchy analysis only |
/ui-enhancer-radar density |
Information density analysis only |
/ui-enhancer-radar interaction |
Interaction patterns analysis only |
/ui-enhancer-radar accessibility |
Accessibility audit only |
/ui-enhancer-radar hig |
HIG compliance check only |
/ui-enhancer-radar dark-mode |
Dark mode audit only |
/ui-enhancer-radar performance |
Performance impact analysis only |
/ui-enhancer-radar design-system |
Design system compliance only |
/ui-enhancer-radar color |
Color audit only (inventory, flatness, consistency) |
/ui-enhancer-radar ipad-sheets |
iPad sheet sizing audit only (caller-side .sheet() check) |
/ui-enhancer-radar hit-region |
Button hit region audit only (three-factor: .plain + Form/List + trailing chevron) |
/ui-enhancer-radar silent-picker |
Silent Picker audit only (menu Picker, no .pickerStyle, custom non-Form container) |
/ui-enhancer-radar compare |
Compare before/after screenshots for progress |
/ui-enhancer-radar revert |
Undo all changes back to last checkpoint |
/ui-enhancer-radar batch [path] |
Audit all views in a directory, rank by severity |
--show-suppressed |
Show findings suppressed by known-intentional entries |
--accept-intentional |
Mark current finding as known-intentional (not a bug) |
/ui-enhancer-radar --capture |
Capture screenshot from running simulator (optional) |
/ui-enhancer-radar --devices |
Analyze layout across device sizes (optional) |
/ui-enhancer-radar fix-deferred |
Resolve items deferred from a previous run |
/ui-enhancer-radar verify |
Re-check previous findings without full re-audit (~5 min) |
What ships with it
6 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.
- 8d ago First seen · 2,812 lines · 148 tokens per session scan A 5491b980cd55
ui-enhancer-radar is a skill published in the GitHub repository Terryc21/radar-suite (20 stars, last pushed 10d ago), licensed Apache-2.0. It adds 148 tokens to every session and 33,438 once invoked, about $0.0007 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.
Other skills, from other repositories
workflow-audit
Systematic UI workflow auditing for SwiftUI applications. Discovers entry points, traces user flows, detects dead ends and broken promises, audits data wiring, evaluates from user perspective. Triggers: "workflow audit", "audit flows", "find dead ends", "check navigation".
plan
Epic decomposition into trackable, right-sized tasks. Three modes — audit-aware (codebase-audit reports), workflow-audit-aware (handoff.yaml with pre-rated findings), standalone (from scratch). Light convention scanning for projects without CLAUDE.md.
m3-expressive
Material 3 Expressive design patterns for Jetpack Compose - expressive theming, motion physics, shape morphing, typography emphasis, color emphasis, and all 28 expressive components.
liquid-glass
Apple Liquid Glass design patterns for SwiftUI iOS 26 - glass effects, morphing, containers, interactive glass, tinting, accessibility, and cross-platform glass design.
ttb-skill-native-swiftui-components
Build reusable native SwiftUI UI components using 100% standard SwiftUI primitives with TTBaseUIKit design tokens, localization, chainable modifiers, and project architecture rules. NO TTBaseSUI wrappers. iOS 14+.
accessibility-patterns
Mobile accessibility patterns for Android and iOS - content descriptions, touch targets, screen reader support, WCAG compliance, dynamic type, and color contrast.