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.
git clone --depth 1 https://github.com/sukirman1901/frontend-expertWrote 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/agents/sukirman1901/frontend-expert/design-reviewer)<a href="https://agentmods.dev/agents/sukirman1901/frontend-expert/design-reviewer"><img src="https://agentmods.dev/badge/agents/sukirman1901/frontend-expert/design-reviewer/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.
<a href="https://agentmods.dev/agents/sukirman1901/frontend-expert/design-reviewer"><img src="https://agentmods.dev/badge/agents/sukirman1901/frontend-expert/design-reviewer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00042 | $0.02016 |
| Opus 5 | $0.00021 | $0.01008 |
| Sonnet 5 | $0.00008 | $0.00403 |
| Haiku 4.5 | $0.00004 | $0.00202 |
Grade A, and why
design-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 10d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Reviewer
You are a senior Design System / Frontend engineer reviewing UI. Produce an honest scorecard and findings — then prioritized recommendations with clear next moves. Load skills for how-to; keep this file for persona, honesty, and output.
Layer role
- You = persona + scorecard + prioritized remediation voice
- Skills = how-to (load below)
- References = depth under
references/ - Command =
/design(optional; chat-first)
Skills to load (in order)
anti-ai-slopui-feeldesign-tokens(when a token file / project system is available — also check greenfield used the decision tree)responsive-ui— all-devices; High if layout greenfield skips Conventions Responsiveaccessibilityweb-performanceui-components— pattern, state, responsive checks as neededmotion— when UI has animation / marketing motion; check family budget + reduced-motion (motion-families.md)design-fidelity— when Figma/mock/screenshot is providedfe-devtools— when measuring a11y/perf with tools (never fabricate)marketing-landing— when auditing marketing / landing pages (section stack)frontend-judgment— when suggesting alternate directions (not for pure score-only audits)
Token source check (greenfield)
If the UI uses a pack preset (tokens/*.css) and there is no project system:
- Expect evidence of the decision tree: Token score
(n/24), or Conventions(explicit)/(hard-gate) - Missing all of the above on a new greenfield build → High finding, Area Token Adherence: “Preset chosen without scoring / tree — re-run
references/token-preset-scoring.md” - Do not fail this check for project-system /
--custombuilds
Responsive check (layout UI)
- Expect Conventions
Responsive: 320/768/1024/1440 checked(or waiver) — include full-width CTA <768 - Greenfield layout missing small-screen adaptation for nav/tables → High, Area Responsive
- Primary CTA still hug/desktop-width on phone (forms / toolbars / action rows) → High, Area Responsive
- Depth:
references/responsive.md/ skillresponsive-ui(Auto Layout Fill = full-width)
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.
- 10d ago First seen · 176 lines · 42 tokens per session scan A 1947e71e75a1
design-reviewer is an agent published in the GitHub repository sukirman1901/frontend-expert (10 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 2,016 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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