agent-frontend-standard

agent-frontend-standard is a skill for Claude Code, Codex from martin1847/evolab. It costs 216 tokens per session (1,839 once invoked), scanned A, original, MIT.

A set of engineering guidelines for building consistent front-end interfaces with AI agents. It covers shared design components, type-checked interfaces, visual checks and staged testing requirements.

In plain words
What is it for?
Setting rules for agent-written front-end code, limiting components and imports, enforcing design tokens with linting, and checking changes through types, visuals and tests.
Why use it?
It reduces inconsistent styles, invalid component usage and interface errors that guidelines alone may not prevent.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Setting rules for agent-written front-end code, limiting components and imports, enforcing design tokens with linting, and checking changes through types, visuals and tests.

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Install with agentmods
npx agentmods add skills/martin1847/evolab/agent-frontend-standard
Install

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.

Any agent
npx skills add martin1847/evolab --skill agent-frontend-standard
Clone the repo
git clone --depth 1 https://github.com/martin1847/evolab

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin agent-frontend-standard/plugin install agent-frontend-standard after adding the marketplace above.

Wrote 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.

agentmods badge for agent-frontend-standard

README.md
[![agentmods](https://agentmods.dev/badge/skills/martin1847/evolab/agent-frontend-standard/github.svg)](https://agentmods.dev/skills/martin1847/evolab/agent-frontend-standard)
Your own site
<a href="https://agentmods.dev/skills/martin1847/evolab/agent-frontend-standard"><img src="https://agentmods.dev/badge/skills/martin1847/evolab/agent-frontend-standard/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.

agentmods 80×15 button for agent-frontend-standard

Your own site · 80×15
<a href="https://agentmods.dev/skills/martin1847/evolab/agent-frontend-standard"><img src="https://agentmods.dev/badge/skills/martin1847/evolab/agent-frontend-standard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 216 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,839 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00216 $0.01839
Opus 5 $0.00108 $0.00920
Sonnet 5 $0.00043 $0.00368
Haiku 4.5 $0.00022 $0.00184

Measured 9d ago against content hash c1e5a9565c4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agent-frontend-standard 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 9d 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.

skills/agent-frontend-standard/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Frontend — 前端工程手册

姊妹篇:后端归 agent-backend-standard(hub);Git 归 git-workflow-standard;护栏供给回路 canonical = cto-orchestration 的 shock-in-the-loop 篇(电在回路/能电不文)。 本手册条目均有 2026 调研证据背书(Anthropic / Figma / Atlassian 等公开来源,二手数据已标注)。 铁律同 hub:"In nearly 100% of cases the prompt will win over the guidelines"(Figma 实证)—— 声明式规则是软的,只有编译器、lint=error 和 CI 是硬的。能电不文。

1. 设计系统即 agent 契约

  • 受限组件词表:业务代码只准从少量 vetted DS primitives 组合,禁自由 CSS/裸 HTML 拼装。 机制:"LLM 不擅长一致发明,擅长查找"。
  • 薄封装收窄 prop 面:禁 app 直接 import 厂商组件库;wrapper 禁 {...rest} 透传——透传=把 厂商全部 API 面暴露给 agent 猜。
  • token 语义标注是性价比最高的一招:token 定义处写 role + 反用法("仅 destructive 操作; 禁用于品牌强调")。50 个设计系统审计只有 1 家写了 do-not-use——写了 agent 就稳定选对。
  • 三条 lint 硬门(=error,warn 等于没有)
    1. tailwind no-arbitrary-value——agent 不知道你的 token 就会吐 hex/px,任意值=样式漂移主通道;
    2. no-restricted-imports 禁 legacy/厂商直连路径——agent 分不清 ui/legacy/
    3. 非法 prop 组合用 discriminated union 灭在类型层——"TS 编译器就是设计系统评审员"。
  • 机器可查询 > 散文描述:组件 API 给结构化形态(manifest/story/类型),使用规则才写 Markdown。 格式即成本:JSON 组件元数据比散文省 ~80% token(Indeed 1056-prompt 实测,二手)。

2. 类型端到端契约

  • 契约在 agent 编辑范围之外:后端契约生成 client,生成物只读——"编不出不存在的 endpoint"。 配对律:契约改动必须触发再生成(pairing 门),生成物手改必须被拦(starter hook ①②已落)。
  • typecheck 是 agent 主反馈环tsc --noEmit 的 file/line/col 五元组比测试堆栈更适合收敛; 每轮都跑(tsgo 已把成本压到可每轮)。
  • 封死逃逸口:agent 会用 any/as/@ts-expect-error 把红变绿。type-coverage 阈值 + 抑制注释必须人类 override commit 才放行
  • 认知边界:类型错误是 agent 最会修的一类(也正因此 typecheck 绿≠正确);逻辑错误修复率仅 ~45% 且两轮后收益枯竭——正确性预算投给断言强度(mutation/oracle),别再收紧 tsconfig。

3. 视觉验证环

  • a11y 树优先、截图兜底(双轨不二选一):snapshot ~200-400 token/确定性/ref 精确;截图 ~3000-5000 token/坐标脆——动画/图表/文案才用截图。axe 类 a11y 检查是少数客观可机验门 (覆盖 ~57%,是门不是证明)。
  • 迭代必须设预算上限:视觉环 ≤5 轮、a11y ≤3 轮,超限熔断上报——无退出条件的 agent "要么跑死要么随机停",迭代精化可能只烧成本零改善。
  • 多轮视觉反馈会引发功能遗忘(第 N 轮修好、第 N-3 轮坏了)——视觉环必须配回归重检: VRT 基线 diff / story interaction test 每轮全量复跑。这是 VRT 在 agent 环里的真正理由。
  • "没有 check 时 looks-done 是唯一停止条件":给 agent 的 UI 任务必须带可跑验证 (story test / screenshot diff / typecheck+lint 组合),同北极星 doctrine。

Read the full file on GitHub · 79 lines

Changes

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.

  1. 9d ago First seen · 79 lines · 216 tokens per session scan A c1e5a9565c4c

Subscribe to this mod's changes

agent-frontend-standard is a skill published in the GitHub repository martin1847/evolab (6 stars, last pushed yesterday), licensed MIT. It adds 216 tokens to every session and 1,839 once invoked, about $0.0011 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.