critique

· 83
已收录

Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix

Verified installs0
Stars89.6K
版本1.0.0
质量95/100 · 优秀
信任83/100 · 审查后安装
审计92/100 · 高风险

供给资产档案

编程与开发 Agent

代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。

浏览赛道

场景

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

适配 Agent

Claude Code + CLI + Codex

适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。

安装

就绪

npx skills add nexu-io/open-design --skill critique

维护状态

新鲜

距上次推送 2 天

风险

高风险

Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required

GitHub 质量

90K

95/100 质量 · 88/100 信任

覆盖标签

编程GitHub automation安全agent-skill

审查说明

Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required · This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.

Agent 采用评分卡

一眼查看信任、审计与安装准备度

这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。

质量

优秀
95

高置信候选,具有较强的采用度与健康维护信号。

信任

审查后安装
83

适合加入候选清单,但 Agent 在运行前应审查审计说明、安装策略和结果证据。

审计

高风险
92

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

OpenAgentSkill 信任评分 v5

仅限沙盒

在人工审查或沙盒验证后作为首选候选。

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

90K 个 GitHub Stars

仓库活跃度

90K 个 Star,10K 个 Fork

维护状态

距上次推送 2 天

许可证

Apache-2.0

安装

npx skills add nexu-io/open-design --skill critique

安装安全性

标准软件包或运行时安装路径

权限范围

文件系统或文档访问

Agent 结果

暂未有 Agent 结果数据

文档

README/SKILL.md 上下文充分

风险摘要

低元数据风险

  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.

安装准备度

安装路径可用

  • 安装路径可用
  • 仓库证据可用
  • 已声明许可证
  • 暂无 Agent 验证结果证据

Agent 可读元数据

这个 Skill 的机器可读决策数据。

使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。

打开 JSON

适用任务

  • GitHub automation 工作流
  • Claude Code 团队
  • 重视 GitHub 采用信号的团队
  • Inspect repository metadata

适用 Agent

CodexClaude CodeCursorOpenAgentSkill CLICLI

安装决策

命令
npx skills add nexu-io/open-design --skill critique
策略
阻止
人工审查

信任与风险

信任
83/100
审计
92/100
风险级别
高风险

结果闭环

端点
/api/agent/outcome
事件 ID
resolve
结果
5

安装命令

npx skills add nexu-io/open-design --skill critique

不适用场景

  • 需要厂商支持 SLA 的团队
  • 没有内部安全审查的高合规环境
  • 当前元数据中未发现重大风险信号
  • Audit risk risky exceeds max_risk=medium
  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required

Agent 安全 v2

76/100 · 避免自动安装

Blocked for auto-install阻止

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

通过 API 解析

网络访问

Skill 可能访问远程页面、API、仓库或外部服务。

文件系统访问

Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。

  • Audit risk risky exceeds max_risk=medium
  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required

安装目标

在你的 Agent 工作流中安装此 Skill

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install nexu-io-critique

Agent 解析计划

让 Agent 在安装前验证匹配度。

Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。

打开文本计划

Agent 应检查

  • 从 Resolve API 检查任务匹配与替代方案。
  • 检查审计评分、信任评分和安全策略警告。
  • 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。

复制提示词

Task: Use critique in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20critique%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nexu-io-critique/install
Install command: npx skills add nexu-io/open-design --skill critique
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent 交接

把安装路径交给 Agent,而不是再给一个目录页。

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

打开安装 API

Agent 提示词

Use critique for this task. Review https://www.openagentskill.com/api/skills/nexu-io-critique/install, then install with: npx skills add nexu-io/open-design --skill critique

Registry 元数据

用于自动选择 Skill 的 Agent 可读档案。

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

打开 Manifest

适配 Agent

100/100

GitHub automation

平台

Claude Code

审计报告

高风险 · 92/100

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

查看审计报告查看评估报告

Agent 决策面板

适合 GitHub automation 的首选

将其作为优先候选,再在你的 Agent 环境中验证 README 与安装路径。

100
就绪度
采用
阶段

栈中角色

首选

主要匹配

GitHub automation

信任标签

可用于生产

安装路径

命令已就绪

适用场景

  • GitHub automation 工作流
  • Claude Code 团队
  • 重视 GitHub 采用信号的团队

证据

  • 89,595 个 GitHub Stars
  • 仓库近期活跃
  • 已提供安装命令或 GitHub 仓库
  • 95/100 质量档案
  • 18 个 OpenAgentSkill 交互事件

先审查

  • 当前元数据中未发现重大风险信号

实施路径

  1. 1在沙盒 Agent 中安装它,并端到端完成一次GitHub automation任务。
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

信任档案

审查后安装

适合加入候选清单,但 Agent 在运行前应审查审计说明、安装策略和结果证据。

83
OpenAgentSkill 信任评分

GitHub 采用度

通过

90K 个 GitHub Stars

Star/Fork 活跃度

通过

90K 个 Star,10K 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

距上次推送 2 天

许可证清晰度

通过

Apache-2.0

积极信号

  • AI 审查已通过
  • 安装路径可用
  • 仓库证据可用
  • 近期维护的仓库
  • Large GitHub adoption signal
  • 安装命令未发现明显高风险模式
  • 结果闭环已就绪,但需要首次真实 Agent 运行

安装前审查

  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • 暂未有真实 Agent 结果报告
  • 无人值守安装前需要人工审查

建议操作

在人工审查或沙盒验证后作为首选候选。

质量档案

优秀 适用于 Agent 工作流的候选

高置信候选,具有较强的采用度与健康维护信号。

95
GitHub Stars
90K
新鲜度
2 天前
安装就绪
许可证
Apache-2.0

工作流匹配

在这些场景使用此 Skill

工作流匹配

加入完整工作流

替代方案短名单

安装前对比

可能适合该任务的相近 Skill。

对比全部

概览

--- name: critique description: | Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design". triggers: - "critique" - "design review" - "design audit" - "5 维度评审" - "5-dim review" - "audit my design" - "review my deck" - "review my landing page" - "评审" - "复盘" od: mode: prototype platform: desktop scenario: design upstream: "https://github.com/alchaincyf/huashu-design" preview: type: html entry: index.html design_system: requires: false example_prompt: "Run a 5-dimension critique on the magazine-web-ppt deck I just generated — score philosophy / hierarchy / detail / function / innovation, give me Keep / Fix / Quick-wins." ---

# Critique Skill · 5 维度专家评审

Produce a single-file HTML "design review report" that scores any artifact across 5 dimensions and proposes actionable fixes. Inspired by the *huashu-design* expert-critique flow.

## When to use

- After the agent (or user) generates an artifact (deck / prototype / landing page) and the user asks "what's wrong with this?" or "review this" - As a self-check loop the agent can run on its own output **before** emitting it - For comparing two variants of the same design

## What you produce

A single self-contained `<artifact type="text/html">` review report including:

1. **Header** — what artifact was reviewed, date, reviewer ("OD · Critique skill"), 1-line verdict 2. **Radar chart** (inline SVG, no library) showing the 5 scores 3. **Five dimension cards**, each with: - Score 0–10 (with band: 0–4 *Broken* · 5–6 *Functional* · 7–8 *Strong* · 9–10 *Exceptional*) - 1-paragraph evidence (cite specific elements / files / lines) - One Keep / Fix / Quick-win bullet 4. **Combined action lists** at the bottom: - **Keep** — what's working, don't touch - **Fix** — P0 / P1 issues that are visually expensive - **Quick wins** — 5–15 minute tweaks with disproportionate impact

## The 5 dimensions

> Each dimension is independent — a deck can be 9/10 on Innovation but > 4/10 on Hierarchy and the report should say so plainly. Don't average > away interesting failures.

### 1. Philosophy consistency · 哲学一致性

> Does the artifact pick a clear *direction* and stick to it through > every micro-decision (chrome / kicker / spacing / accent)?

**Evidence to look for:** - Is there one declared design direction (e.g. Monocle / WIRED / Kinfolk) or is it three styles in a trench coat? - Does the chrome / kicker vocabulary stay in one register, or does page 3 say "Vol.04 · Spring" and page 7 say "BUT WAIT 🔥"? - Are accent / serif / mono used by the same rule throughout?

**0–4** Three styles fighting each other. **5–6** One direction but half the elements drift. **7–8** Coherent, occasional drift on edge pages. **9–10** Every element argues for the same thesis.

### 2. Visual hierarchy · 视觉层级

> Can a stranger figure out what to read first, second, third — without > being told?

**Evidence to look for:** - Is the largest type clearly the most important thing on each page? - Do mono / serif / sans roles match the information's *role* (meta / body / display)? - Lots of "loud" elements competing? Or a clear primary + secondary + tertiary tier?

**0–4** Everything shouts. **5–6** Hierarchy works on hero pages but breaks on body. **7–8** Clear tiers, occasional collision. **9–10** Eye moves with zero friction.

### 3. Detail execution · 细节执行

> The 90/10 stuff — alignment, leading, kerning at large sizes, image > framing, foot/chrome polish, edge-case spacing.

**Evidence to look for:** - Big-stat pages: does the number sit on a baseline, or float? - Left/right column tops aligned in `grid-2-7-5`? - `frame-img` + caption proportions consistent across pages? - Mono labels: same letter-spacing? same uppercase rule? - Any orphaned `<br>` causing 1-character lines?

**0–4** Visible tape and string. **5–6** Most pages clean, 1–2 ragged. **7–8** Polished, expert eye finds 2–3 misses. **9–10** Magazine-grade — the kind of detail that makes printed-by-hand typographers nod.

### 4. Functionality · 功能性

> Does the artifact *work* for its intended use? Click targets, nav, > readability at presentation distance, copy-paste-ability for code > blocks, mobile fallback if relevant.

**Evidence to look for:** - Deck: keyboard / wheel / touch nav all working? Iframe scroll fallback? - Landing: CTA above the fold? Phone number tappable on mobile? - Runbook: code blocks copyable, mono font, no smart quotes? - Critical info readable from 4m away (large screen presentation)?

**0–4** Visually fine but doesn't accomplish its job. **5–6** Core flow works, edge cases broken. **7–8** Robust through normal use. **9–10** Defensively engineered — handles iframe / fullscreen / paste / print without flinching.

### 5. Innovation · 创新性

> Does this push past the median? Is there one element that makes > people lean in?

**Evidence to look for:** - One *unexpected* layout / motion / typographic move that wasn't required? - Or 100% safe — could be any deck/landing from any agency? - Is the innovation *earned* (matches direction) or grafted on (random WebGL on a Kinfolk slow-living deck)?

**0–4** Generic AI-slop median. **5–6** Competent and unmemorable. **7–8** One memorable moment, the rest solid. **9–10** Multiple moves you'd steal — but each one obviously serves the thesis.

## Scoring discipline (read before you score)

- **Always cite evidence** — "scored 4 because hero page mixes Playfair display with Inter sans on the same line" beats "feels inconsistent". Numbers without evidence get rejected. - **Don't average up** — if Hierarchy is 5 because page 3 is broken, don't bump to 7 because pages 1 and 2 are fine. The score is the *worst sustained band*. - **Don't grade-inflate** — a 7 means *strong*, not *acceptable*. If every score is 7+, you're not reviewing critically. - **Innovation is allowed to be low** — 5/10 is fine for production deliverables. Don't punish *appropriate* conservatism.

## Workflow

### Step 1 — Acquire the artifact

Three modes:

1. **Project file** — user said "review the index.html I just made": open it from the project folder. 2. **Pasted HTML** — user pasted code in the chat: read it from the message. 3. **Generated by you in this turn** — you just emitted an artifact above and want to self-critique: re-read your own `<artifact>`.

If multiple HTML files exist, ask which one (don't review all).

### Step 2 — Read enough to score

Skim the entire `<style>`, then read 6–8 representative content blocks. **Do not score from frontmatter alone.** The score depends on *executed* design, not declared intent.

### Step 3 — Score with evidence

For each of the 5 dimensions, write the score and a 30–80 word evidence paragraph that names specific elements. Use line numbers, class names, page numbers.

Example: ``` Dimension: Detail execution Score: 6 / 10 Evidence: Stat-cards on page 3 align cleanly (grid-6, 3×2), but on page 8 the right column foot sits 2vh higher than the left because .callout has 3vh top margin while the figure doesn't. Image captions use mono on page 5 but sans on page 7 — pick one. ```

### Step 4 — Build the action lists

Aggregate the 5 evidence paragraphs into:

- **Keep** (3–5 bullets) — concrete things working that the user must not break in the next iteration. Cite by class / page / element. - **Fix** (3–6 bullets) — must-do, ordered by *visual cost saved per minute spent*. Each bullet ≤ 1 sentence. - **Quick wins** (3–5 bullets) — 5–15 minutes each, high signal-to-noise (e.g. "swap `display:flex` for `grid` on page 4 to fix the column drift").

### Step 5 — Emit the report HTML

Build a single file:

- Header: artifact name + reviewer credit + date - Big radar chart (SVG) - 5 dimension cards in a 1-column or 2-column grid - Three action lists at the bottom with checkbox affordance

Use the active DESIGN.md tokens if one exists; otherwise default to a neutral light theme (off-white background, near-black text, one accent for radar fill).

## Output contract

``` <artifact identifier="critique-<artifact-slug>" type="text/html" title="Critique · <Artifact Title>"> <!doctype html> <html>...</html> </artifact> ```

One sentence before the artifact ("Reviewed X across 5 dimensions, see report below.") and **stop after `</artifact>`** — do not paraphrase the report in chat; the user will read the artifact.

## Hard rules

- **5 scores, every time** — partial reports (e.g. only 3 dimensions) are not allowed. - **Evidence per score** — no "feels off" / "needs work". If you can't cite an element, the score is not justified. - **Don't grade-inflate** — overall mean above 8 is suspicious; check yourself. - **Don't review your own artifact in the same turn** — the user needs to see it first. Self-critique only on explicit request ("now critique what you just made"). - **Single-file HTML only** — no external CSS/JS. Inline everything. - **Radar chart is mandatory** — gives the report a recognizable silhouette and lets the user spot weak axes at a glance.

技术详情

版本
1.0.0
许可证
Apache-2.0
最近更新
2026年8月20日
发布时间
2026年8月20日

决策摘要

首选

100
就绪
采用
阶段

89,595 个 GitHub Stars

审计

安装审查

安装与采用审查

92
高风险
安全性
88/100
维护状态
100/100
安装
92/100
打开完整审计查看评估报告

Agent 验证证据

Agent 验证证据

来自解析、审查、安装和一次小范围运行后的结果报告。

0
已验证
Needs first agent run自动安装: 先审查最近: 未知
成功率
近期失败
结果
0
输出质量
失败
0
不相关
0
安装次数
0
风险拦截
0
需要配置
0
生产环境
0

暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。

安装

加入 Agent 工作流

免费且开源. 在生产 Agent 中安装前请先审查报告。

增长闭环

分享工具包

X

为 critique 准备的场景化草稿,可手动发布到 X。

策展说明
critique: Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Vis...

89.6K stars

https://www.openagentskill.com/skills/nexu-io-critique?ref=x
打开 X 草稿
可选:带安装命令的回复
Listing + install path for critique:
https://www.openagentskill.com/skills/nexu-io-critique?ref=x

Install: npx skills add nexu-io/open-design --skill critique
打开回复草稿

收录来源

Registry 收录

可认领

此列表来自公开来源,维护者认领获批前不会标记为官方。

创作者
nexu-io
收录方
OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

认领此 Skill

所有者认领

认领此 Skill 页面

这条 Registry 收录 列表归属于 nexu-io,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/nexu-io-critique?metric=listed&label=Listed)](https://www.openagentskill.com/skills/nexu-io-critique)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/nexu-io-critique?metric=trust&label=Trust)](https://www.openagentskill.com/skills/nexu-io-critique)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/nexu-io-critique?metric=audit&label=Audit)](https://www.openagentskill.com/skills/nexu-io-critique/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/nexu-io-critique?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/nexu-io-critique)

作者

N

nexu-io

@nexu-io

平台适配

健康信号

GitHub Stars
89.6K
质量评分
58/100
最近 GitHub 推送
2026年8月20日
框架提示
未知
OpenAgentSkill 浏览量
18
复制安装命令
0
跳转点击
0

社区信号

告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。

信任与安全

审查后安装

83
  • GitHub 采用度90K 个 GitHub Stars通过
  • Star/Fork 活跃度90K 个 Star,10K 个 Fork; 当前元数据中没有议题活跃度信息通过
  • 近期维护距上次推送 2 天通过
  • 许可证清晰度Apache-2.0通过
  • README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
  • 依赖与运行时风险公开元数据中未发现主要依赖风险提示通过