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/qinghaoliqaq/autocoder/frontend_devnpx skills add qinghaoliqaq/AutoCoder --skill frontend_devgit clone --depth 1 https://github.com/qinghaoliqaq/AutoCoderWhat 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 | $0.00050 | $0.01526 |
| Opus 5 | $0.00025 | $0.00763 |
| Sonnet 5 | $0.00010 | $0.00305 |
| Haiku 4.5 | $0.00005 | $0.00153 |
Grade A, and why
frontend-dev 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 2d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Dev
This skill is a compact execution guide for frontend subtasks. It produces production-quality UI that looks modern and polished out of the box.
When To Use
Use this skill when the current subtask is primarily about:
- building or updating a screen, page, modal, form, table, or dashboard
- wiring UI state to existing APIs
- improving responsive layout, empty/loading/error states, and interaction quality
- refining visual hierarchy, typography, spacing, and motion
Do not use it as a reason to redesign unrelated parts of the app.
Operating Rules
- Read the local project first.
- Follow the repo's existing framework, routing, state, and styling conventions.
- Prefer modifying existing components over introducing parallel abstractions.
- Keep the write scope bounded to the current subtask.
Technology Selection (when no existing preference)
When the project has no established frontend or you are starting fresh:
Preferred stack (unless plan specifies otherwise):
- React + Tailwind CSS — default for web apps
- shadcn/ui components if React is used — modern, accessible, customizable
- Lucide icons — consistent, lightweight icon set
Do NOT reach for:
- Heavy UI frameworks (Material UI, Ant Design) unless specifically required
- CSS-in-JS (styled-components, emotion) when Tailwind is available
- Custom icon systems when Lucide/Heroicons exist
Design System Principles
Color
- Use a neutral base (slate/zinc/gray) for backgrounds and text
- Use one primary accent color for CTAs and interactive elements
- Use semantic colors for status: green=success, red=error, amber=warning, blue=info
- Dark text on light backgrounds:
text-gray-900onbg-white - Ensure contrast ratio >= 4.5:1 for text (WCAG AA)
Example Tailwind palette:
bg-white / bg-gray-50 / bg-gray-100 — surface layers
text-gray-900 / text-gray-600 — primary / secondary text
bg-blue-600 / hover:bg-blue-700 — primary action
bg-red-50 text-red-700 — error state
bg-green-50 text-green-700 — success state
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.
- 2d ago First seen · 162 lines · 50 tokens per session scan A 5f22010dcb49
frontend-dev is a skill published in the GitHub repository qinghaoliqaq/AutoCoder (11 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 1,526 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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