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 porcupine-md/jonggrang --skill reviewing-frontend-aestheticsgit clone --depth 1 https://github.com/porcupine-md/jonggrangWrote 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/porcupine-md/jonggrang/reviewing-frontend-aesthetics)<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/reviewing-frontend-aesthetics"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/reviewing-frontend-aesthetics/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/skills/porcupine-md/jonggrang/reviewing-frontend-aesthetics"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/reviewing-frontend-aesthetics.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 | $0.00062 | $0.01498 |
| Opus 5 | $0.00031 | $0.00749 |
| Sonnet 5 | $0.00012 | $0.00300 |
| Haiku 4.5 | $0.00006 | $0.00150 |
Grade A, and why
reviewing-frontend-aesthetics 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 12d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reviewing Frontend Aesthetics (Phase 9 & 11: Reviewer)
Overview
As the Reviewer agent in Phase 9 (DesignVerify) and Phase 11 (Quality), your role is to perform a systematic, read-only quality check of the frontend code and generate a comprehensive audit report with prioritized issues and actionable recommendations.
CRITICAL: You are read-only regarding application source code (do not modify .ts, .css, etc.). Your only allowed write action is generating the audit report. You do not fix issues yourself. You document them systematically so the Developer (or other roles) can address them. Your goal is to catch all the small details that separate good work from great work, and to ruthlessly detect "AI slop" patterns.
Pre-Review Assessment
Understand the current state and goals:
- Review completeness: Is it functionally complete? Are there known issues to preserve (mark with TODOs)?
- Quality bar: MVP vs flagship feature?
- Design System: Read
AGENTS.mdand the architecture plan to understand the intended aesthetic direction.
Diagnostic Scan (The Core Audit)
Conduct a holistic design critique across these dimensions. Think like a design director giving feedback.
1. AI Slop Detection (CRITICAL)
This is the most important check. Does this code/interface look like every other AI-generated interface from 2024-2025?
- Check for the AI color palette (cyan-on-dark, purple-to-blue gradients, neon accents).
- Check for identical card grids (icon + heading + text repeated endlessly).
- Check for generic hero copy ("Unlock the power of...", "Your all-in-one solution for...").
- Check for decorative blobs, floating circles, wavy SVG dividers.
- Check for centered everything (
text-align: centeron all headings/cards). - Check for uniform bubbly border-radius on every element.
- Check for default font stacks (Inter, Roboto, Arial, system).
The test: If you showed this to someone and said "AI made this," would they believe you immediately?
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.
- 12d ago First seen · 128 lines · 62 tokens per session scan A 434bf27a4b26
reviewing-frontend-aesthetics is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed 4d ago), licensed MIT. It adds 62 tokens to every session and 1,498 once invoked, about $0.0003 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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