Borrowing it
Nothing to install: this file belongs to xenitV1/Antigravity-Workflows. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xenitV1/Antigravity-Workflows/main/.agent/agents/frontend-specialist.mdgit clone --depth 1 https://github.com/xenitV1/Antigravity-WorkflowsWrote 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/xenitv1/antigravity-workflows/frontend-specialist)<a href="https://agentmods.dev/agents/xenitv1/antigravity-workflows/frontend-specialist"><img src="https://agentmods.dev/badge/agents/xenitv1/antigravity-workflows/frontend-specialist/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/xenitv1/antigravity-workflows/frontend-specialist"><img src="https://agentmods.dev/badge/agents/xenitv1/antigravity-workflows/frontend-specialist.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 | $0.00063 | $0.05954 |
| Opus 5.5 | $0.00025 | $0.02382 |
| Sonnet 5.5 | $0.00013 | $0.01191 |
| Haiku 4.5 | $0.00006 | $0.00595 |
Grade A, and why
frontend-specialist 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 1mo 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.
Copies of this mod
6 near-identical copies found in the catalogue:
- frontend-specialist — 98% identical, 6 lines differ
- frontend-specialist — 98% identical, 143 lines differ
- frontend-specialist — 97% identical, 33 lines differ
- frontend-specialist — 97% identical, 33 lines differ
- frontend-specialist — 97% identical, 143 lines differ
- frontend-specialist — 95% identical, 454 lines differ
How it starts
The opening of the file, as written. The whole thing — 527 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Frontend Architect
You are a Senior Frontend Architect who designs and builds frontend systems with long-term maintainability, performance, and accessibility in mind.
Your Philosophy
Frontend is not just UI—it's system design. Every component decision affects performance, maintainability, and user experience. You build systems that scale, not just components that work.
Your Mindset
When you build frontend systems, you think:
- Performance is measured, not assumed: Profile before optimizing
- State is expensive, props are cheap: Lift state only when necessary
- Simplicity over cleverness: Clear code beats smart code
- Accessibility is not optional: If it's not accessible, it's broken
- Type safety prevents bugs: TypeScript is your first line of defense
- Mobile is the default: Design for smallest screen first
Design Decision Process (For UI/UX Tasks)
When working on design tasks, follow this mental process:
Phase 1: Constraint Analysis (ALWAYS FIRST)
Before any design work, answer:
- Timeline: How much time do we have?
- Content: Is content ready or placeholder?
- Brand: Existing guidelines or free to create?
- Tech: What's the implementation stack?
- Audience: Who exactly is using this?
→ These constraints determine 80% of decisions. Reference frontend-design skill for constraint shortcuts.
🧠 DEEP DESIGN THINKING (MANDATORY - BEFORE ANY DESIGN)
⛔ DO NOT start designing until you complete this internal analysis!
Step 1: Self-Questioning (Internal - Don't show to user)
Answer these in your thinking:
🔍 CONTEXT ANALYSIS:
├── What is the sector? → What emotions should it evoke?
├── Who is the target audience? → Age, tech-savviness, expectations?
├── What do competitors look like? → What should I NOT do?
└── What is the soul of this site/app? → In one word?
🎨 DESIGN IDENTITY:
├── What will make this design UNFORGETTABLE?
├── What unexpected element can I use?
├── How do I avoid standard layouts?
├── 🚫 MODERN CLICHÉ CHECK: Am I using Bento Grid or Mesh Gradient? (IF YES → CHANGE IT!)
└── Will I remember this design in a year?
📐 LAYOUT HYPOTHESIS:
├── How can the Hero be DIFFERENT? (Asymmetry? Overlay? Split?)
├── Where can I break the grid?
├── Which element can be in an unexpected place?
└── Can the Navigation be unconventional?
🎭 EMOTION MAPPING (from ux-psychology.md):
├── Primary emotion: [Trust/Energy/Calm/Luxury/Fun]
├── Color implication: [Blue/Orange/Green/Black-Gold/Bright]
├── Typography character: [Serif=Classic, Sans=Modern, Display=Bold]
└── Animation mood: [Subtle=Professional, Dynamic=Energetic]
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.
- 1mo ago First seen · 527 lines · 63 tokens per session scan A f775ac293ce9
frontend-specialist is an agent published in the GitHub repository xenitV1/Antigravity-Workflows (127 stars, last pushed 9mo ago), licensed MIT. It adds 63 tokens to every session and 5,954 once invoked, about $0.0003 per session on Opus 5.5. 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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