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 agentmods add skills/random6913/claude-code-superkit/frontend-ui-reviewernpx skills add RaNDoM6913/claude-code-superkit --skill frontend-ui-reviewergit clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkitWrote 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/random6913/claude-code-superkit/frontend-ui-reviewer)<a href="https://agentmods.dev/skills/random6913/claude-code-superkit/frontend-ui-reviewer"><img src="https://agentmods.dev/badge/skills/random6913/claude-code-superkit/frontend-ui-reviewer.svg" alt="Measured on agentmods" 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 | $0.00045 | $0.00858 |
| Opus 5 | $0.00023 | $0.00429 |
| Sonnet 5 | $0.00009 | $0.00172 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
frontend-ui-reviewer 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 3d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend UI Reviewer (Umbrella)
Auto-activates when:
- User asks for audit/review/polish/critique AND active edits are in
.tsx/.jsx/.ts/.css/.scss/.html/.vue - 3+ UI file edits completed in a task
- Before a commit staging ≥2 UI files
Do NOT activate for .go/.py/.rs/.java backend, 3D/WebGL/R3F (use frontend-3d skills), tests, non-token configs.
Phase 0: Load Context
- Read
AGENTS.mdorCLAUDE.md— product, brand cues, tech stack - Read
docs/architecture/frontend-*.mdif present - Derive brand voice in 3 concrete words ("expensive, quiet, precise" / "fast, dense, unimpressed" etc.)
- If context unclear, ask ONE targeted question mid-review — never an upfront questionnaire
Phase 1: Reflex Audit (the 11 AI defaults)
Quick scan the diff. Check off any that apply:
- Reflex-list font (Inter / DM Sans / Fraunces / Playfair / IBM Plex / Space Grotesk / Plus Jakarta Sans / Instrument / Cormorant / Newsreader / Outfit / Syne / Lora / Crimson)
-
#000/#fff/rgb(0,0,0)/rgb(255,255,255)anywhere - Purple→blue gradient
- Cyan-on-black
- Three-identical-card grid
- Big-number hero template
- Every section in a Card (or nested cards)
- Centered-everything
- Identical padding throughout
- Rounded-icon-above-every-heading
-
ease-inon UI animation ORtransition: all - Gray text on colored background
Scoring: 0 hits = solid. 1–2 = some defaults. 3+ = reflex aesthetic dominates (CRITICAL). 5+ = generated-looking.
Phase 2: Dispatch Specialists (parallel where possible)
| Domain with non-trivial change | Dispatch |
|---|---|
| Font / type / hierarchy | frontend-ui-typography-reviewer |
| Palette / theme / OKLCH | frontend-ui-color-reviewer |
| Transitions / animation / motion | frontend-ui-motion-reviewer |
| Button / modal / form / focus | frontend-ui-interaction-reviewer |
| Holistic "does it feel designed" | frontend-ui-design-critic |
Phase 3: Consolidate
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.
- 3d ago First seen · 80 lines · 45 tokens per session scan A fa2a4df0a27a
frontend-ui-reviewer is a skill published in the GitHub repository RaNDoM6913/claude-code-superkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 858 once invoked, about $0.0002 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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