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Agent Skill · 研究检索

critique(批判评审)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

critique 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 49,936。

总安装 635周安装 27GitHub Stars 14下载 222核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:critique(批判评审)
来源仓库:https://github.com/aladicf/better-web-ui
仓库路径:skills/critique
安装命令:
npx skills add https://github.com/aladicf/better-web-ui --skill critique
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aladicf/better-web-ui --skill critique

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

critique 开展整体性设计评审,判断界面是否真正解决问题而非仅满足技术规范。适用于 Codex、Claude、Cursor、Gemini CLI 中以设计总监视角提供深度反馈的场景。结合目标任务和用户体验流程,评估优先级、强调一致性和操作流畅度。

需先加载 frontend-design 上下文,并使用灰度测试法检验信息层级有效性。安装前建议确认权限范围和维护状态,注意是否会触发联网、命令执行或文件读写。

来源仓库内路径:skills/critique

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aladicf/better-web-ui --skill critique;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

critique 怎么安装?

在终端执行 npx skills add https://github.com/aladicf/better-web-ui --skill critique。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

critique 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

critique 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

critique 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

critique 用的人多吗?

公开数据是累计安装 635 次,近一周安装 27 次,下载 222 次,GitHub 14 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

critique 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
critique

批判评审 · 本页

63514只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

MANDATORY PREPARATION

Users start this workflow with /critique. Once this skill is active, load $frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow that protocol before proceeding — if no design context exists yet, you MUST load $setup first. Additionally gather: what the interface is trying to accomplish.


Conduct a holistic design critique, evaluating whether the interface actually works — not just technically, but as a designed experience. Think like a design director giving feedback.

Consult the hierarchy checklist for grayscale tests, action prioritization, and label/value treatment. Consult the text hierarchy and readability for line length, line-height, baseline, alignment, and title restraint. Consult the cognitive load for working-memory limits and the 8-item checklist. Consult the interaction design when evaluating familiar patterns, target sizing, focus treatment, and overlay behavior. Consult the search and findability when the interface depends on site search, command palettes, autosuggest, result relevance, or no-results recovery. Consult the legacy modernization when the critique involves legacy systems, old/new seams, migration candidates, or high-risk operational workflows. Consult the ai slop detection for the consolidated anti-pattern list. Consult the action hierarchy when evaluating primary/secondary/tertiary actions. Consult the semantic color when color is carrying meaning. Consult the surface separation when judging borders, card usage, overlap, or background-shift decisions. Consult the image treatment when screenshots, icons, and media affect readability or polish.

Treat the shared frontend-design references as canonical for hierarchy, readability, and cognitive-load doctrine, then keep this skill focused on evaluation, scoring, and prioritization.

When empty states are relevant, evaluate the zero-data surface itself through empty-state thinking, and evaluate broader activation, aha moments, and first-run education through onboard thinking.

Phase 1: Design Critique

Evaluate the interface across these dimensions:

1. AI Slop Detection (CRITICAL)

This is the most important check. Does this look like every other AI-generated interface from 2024-2025?

Review the design against ALL the DON'T guidelines in the frontend-design skill and the ai slop detection reference — they are the fingerprints of AI-generated work. Check for the AI color palette, gradient text, dark mode with glowing accents, glassmorphism, hero metric layouts, identical card grids, generic fonts, and all other tells.

The test: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.

2. Visual Hierarchy

  • Does the eye flow to the most important element first?
  • Is there a clear primary action? Can you spot it in 2 seconds?
  • Does the right thing stand out, or is emphasis spread so evenly that nothing is memorable? (von Restorff effect)
  • Do size, color, and position communicate importance correctly?
  • Is there visual competition between elements that should have different weights?
  • Is the hierarchy clear even if you imagine the screen in grayscale?
  • Are section titles quieter than the content they introduce, or are they stealing focus?
  • Has action hierarchy flattened so multiple buttons feel equally urgent?

3. Information Architecture & Cognitive Load

*Consult cognitive-load for the working memory rule and 8-item checklist*
  • Is the structure intuitive? Would a new user understand the organization?
  • Is related content grouped logically?
  • Do common patterns behave the way users already expect? Check navigation, search, tables, filters, forms, tabs, dropdowns, pagination, and settings for unnecessary novelty.
  • Is avoidable complexity pushed into the system through defaults, prefills, and guidance, or dumped on the user to manage manually? (Tesler's Law)
  • Are there too many choices at once? Count visible options at each decision point — if >4, flag it
  • Is the navigation clear and predictable?
  • If search is present, does it understand intent, synonyms, typos, and likely destinations, or does it punish users for not knowing internal vocabulary?
  • In mixed legacy/modern flows, does one fragile step make the entire product feel unreliable or inconsistent?
  • Progressive disclosure: Is complexity revealed only when needed, or dumped on the user upfront?
  • Run the 8-item cognitive load checklist from the reference. Report failure count: 0–1 = low (good), 2–3 = moderate, 4+ = critical.

4. Emotional Journey

  • What emotion does this interface evoke? Is that intentional?
  • Does it match the brand personality?
  • Does it feel trustworthy, approachable, premium, playful — whatever it should feel?
  • Would the target user feel "this is for me"?
  • Do frequent interactions respond fast enough to preserve flow, or do repeated waits keep breaking concentration? (Doherty Threshold)
  • Peak-end rule: Is the most intense moment positive? Does the experience end well (confirmation, celebration, clear next step)?
  • Emotional valleys: Check for onboarding frustration, error cliffs, feature discovery gaps, or anxiety spikes at high-stakes moments (payment, delete, commit)
  • Interventions at negative moments: Are there design interventions where users are likely to feel frustrated or anxious? (progress indicators, reassurance copy, undo options, social proof)

5. Discoverability & Affordance

  • Are interactive elements obviously interactive?
  • Would a user know what to do without instructions?
  • Are primary and frequent targets large enough and close enough to use confidently, especially on touch devices?
  • Do powerful features have safeguards proportional to their risk — permissions, previews, undo, confirmation, history, or explicit consequence language?
  • Are hover/focus states providing useful feedback?
  • Are there hidden features that should be more visible?

6. Composition & Balance

  • Does the layout feel balanced or uncomfortably weighted?
  • Is whitespace used intentionally or just leftover?
  • Is there visual rhythm in spacing and repetition?
  • Does asymmetry feel designed or accidental?
  • Is there more space around groups than within them, or do group boundaries feel ambiguous?
  • Are borders doing necessary structural work, or just compensating for weak spacing/background contrast?
  • Are cards, shadows, overlap, and background shifts being used with a clear separation strategy, or are multiple methods piling up noisily?

7. Typography as Communication

  • Does the type hierarchy clearly signal what to read first, second, third?
  • Is body text comfortable to read? (line length, spacing, size)
  • Do font choices reinforce the brand/tone?
  • Is there enough contrast between heading levels?
  • Are there too many near-identical font sizes to feel like a real type scale?
  • Does line-height match line length, or do long paragraphs feel cramped?
  • Are section titles visually too loud for the role they play?
  • Are links drawing too much attention through color when weight, underline, or hover treatment would be calmer?
  • Are number columns aligned for comparison when numeric scanning matters?

8. Color with Purpose

  • Is color used to communicate, not just decorate?
  • Does the palette feel cohesive?
  • Are accent colors drawing attention to the right things?
  • Does it work for colorblind users? (not just technically — does meaning still come through?)
  • Are tinted surfaces using appropriate text colors, or is there washed-out gray-on-color behavior?
  • Are there too many improvised shades for the palette to feel systematic?

9. States & Edge Cases

  • Empty states: Do they guide users toward action, or just say "nothing here"?
  • Loading states: Do they reduce perceived wait time?
  • Do forms and searches accept harmless input variation gracefully, or do they reject users for formatting trivia that could be normalized? (Postel's Law)
  • Error states: Are they helpful and non-blaming?
  • Success states: Do they confirm and guide next steps?
  • Are screenshots readable at the size shown?
  • Are icons being scaled in a way that feels intentional rather than chunky or mushy?

10. Microcopy & Voice

  • Is the writing clear and concise?
  • Does it sound like a human (the right human for this brand)?
  • Are labels and buttons unambiguous?
  • Is any part of the flow manipulative — confusing consent, obstructed cancellation, guilt copy, fake urgency, or hierarchy that pressures the wrong choice?
  • Does error copy help users fix the problem?

Phase 2: Present Findings

Structure your feedback as a design director would:

Design Health Score

*Consult heuristics-scoring*

Score each of Nielsen's 10 heuristics 0–4. Present as a table:

#HeuristicScoreKey Issue
1Visibility of System Status?[specific finding or "—" if solid]
2Match System / Real World?
3User Control and Freedom?
4Consistency and Standards?
5Error Prevention?
6Recognition Rather Than Recall?
7Flexibility and Efficiency?
8Aesthetic and Minimalist Design?
9Error Recovery?
10Help and Documentation?
Total??/40[Rating band]

Be honest with scores. A 4 means genuinely excellent. Most real interfaces score 20–32.

Anti-Patterns Verdict

Start here. Pass/fail: Does this look AI-generated? List specific tells from the skill's Anti-Patterns section. Be brutally honest.

Include a one-line hierarchy verdict immediately after the pass/fail statement.

Overall Impression

A brief gut reaction — what works, what doesn't, and the single biggest opportunity.

What's Working

Highlight 2–3 things done well. Be specific about why they work.

Priority Issues

The 3–5 most impactful design problems, ordered by importance.

For each issue, tag with P0–P3 severity (consult heuristics-scoring for severity definitions):

  • [P?] What: Name the problem clearly
  • Why it matters: How this hurts users or undermines goals
  • Fix: What to do about it (be concrete)
  • Suggested command: Which command could address this (from: /animate, /arrange, /critique, /extract, /polish, /optimize, /audit, /typeset, /bolder, /clarify, /delight, /adapt, /colorize, /quieter, /harden, /distill, /onboard, /normalize, /showcase)

Favor issues related to weak hierarchy, arbitrary systems, unclear action priority, and noisy decoration over surface-level nitpicks.

When relevant, explicitly call out: too many borders, ambiguous grouping, too many font sizes, too many unsystematic shades, loud section titles, flattened action hierarchy, line-length/line-height mismatches, label:value anti-patterns, unnecessary colored-link emphasis, non-right-aligned number columns, weak surface-separation strategy, scaled-down screenshot legibility failures, scaled-up icon chunkiness, and overlap clashes where layers are not cleanly separated.

Persona Red Flags

*Consult personas*

Auto-select 2–3 personas most relevant to this interface type (use the selection table in the reference). If AGENTS.md contains a ## Design Context section from setup, also generate 1–2 project-specific personas from the audience/brand info.

For each selected persona, walk through the primary user action and list specific red flags found:

Alex (Power User): No keyboard shortcuts detected. Form requires 8 clicks for primary action. Forced modal onboarding. ⚠️ High abandonment risk.

Jordan (First-Timer): Icon-only nav in sidebar. Technical jargon in error messages ("404 Not Found"). No visible help. ⚠️ Will abandon at step 2.

Be specific — name the exact elements and interactions that fail each persona. Don't write generic persona descriptions; write what broke for them.

Minor Observations

Quick notes on smaller issues worth addressing.

Remember:

  • Be direct — vague feedback wastes everyone's time
  • Be specific — "the submit button" not "some elements"
  • Say what's wrong AND why it matters to users
  • Give concrete suggestions, not just "consider exploring..."
  • Prioritize ruthlessly — if everything is important, nothing is
  • Don't soften criticism — developers need honest feedback to ship great design

Phase 3: Ask the User

After presenting findings, use targeted questions based on what was actually found. ask the user directly to clarify what you cannot infer. These answers will shape the action plan.

Ask questions along these lines (adapt to the specific findings — do NOT ask generic questions):

  1. Priority direction: Based on the issues found, ask which category matters most to the user right now. For example: "I found problems with visual hierarchy, color usage, and information overload. Which area should we tackle first?" Offer the top 2–3 issue categories as options.
  2. Design intent: If the critique found a tonal mismatch, ask whether it was intentional. For example: "The interface feels clinical and corporate. Is that the intended tone, or should it feel warmer, bolder, or more playful?" Offer 2–3 tonal directions as options based on what would fix the issues found.
  3. Scope: Ask how much the user wants to take on. For example: "I found N issues. Want to address everything, or focus on the top 3?" Offer scope options like "Top 3 only", "All issues", "Critical issues only".
  4. Constraints (optional — only ask if relevant): If the findings touch many areas, ask if anything is off-limits. For example: "Should any sections stay as-is?" This prevents the plan from touching things the user considers done.

Rules for questions:

  • Every question must reference specific findings from Phase 2 — never ask generic "who is your audience?" questions
  • Keep it to 2–4 questions maximum — respect the user's time
  • Offer concrete options, not open-ended prompts
  • If findings are straightforward (e.g., only 1–2 clear issues), skip questions and go directly to Phase 4

Phase 4: Recommended Actions

After receiving the user's answers, present a prioritized action summary reflecting the user's priorities and scope from Phase 3.

Action Summary

List recommended commands in priority order, based on the user's answers:

  1. /command-name — Brief description of what to fix (specific context from critique findings)
  2. /command-name — Brief description (specific context)...

Rules for recommendations:

  • Only recommend commands from: /animate, /arrange, /critique, /extract, /polish, /optimize, /audit, /typeset, /bolder, /clarify, /delight, /adapt, /colorize, /quieter, /harden, /distill, /onboard, /normalize, /showcase
  • Order by the user's stated priorities first, then by impact
  • Each item's description should carry enough context that the command knows what to focus on
  • Map each Priority Issue to the appropriate command
  • Skip commands that would address zero issues
  • If the user chose a limited scope, only include items within that scope
  • If the user marked areas as off-limits, exclude commands that would touch those areas
  • End with /polish as the final step if any fixes were recommended

After presenting the summary, tell the user:

You can ask me to run these one at a time, all at once, or in any order you prefer. Re-run /critique after fixes to see your score improve.

平台分布

Codex

33.66%
按下载量换算75

Claude

33.82%
按下载量换算75

Cursor

19.88%
按下载量换算44

Gemini CLI

10.3%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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