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Agent Skill · 研究检索

impeccable-critique(无可挑剔的批评)

impeccable-critique 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

impeccable-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 71,089。

总安装 196周安装 8GitHub Stars 1下载 63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:impeccable-critique(无可挑剔的批评)
来源仓库:https://github.com/sebastiaanwouters/dotagents
仓库路径:skills/impeccable-critique
安装命令:
npx skills add https://github.com/sebastiaanwouters/dotagents --skill impeccable-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/sebastiaanwouters/dotagents --skill impeccable-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。

用于查找、检索和筛选相关信息。impeccable-critique 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词快速定位候选结果时使用。可结合来源仓库 README 核验具体搜索语法和参数。安装前应确认权限范围和是否会触发联网请求。建议检查仓库维护状态确保接口可用性。

来源仓库内路径:skills/impeccable-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/sebastiaanwouters/dotagents --skill impeccable…;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

impeccable-critique 怎么安装?

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

impeccable-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。

impeccable-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。

impeccable-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。

impeccable-critique 用的人多吗?

公开数据是累计安装 196 次,近一周安装 8 次,下载 63 次,GitHub 1 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。

impeccable-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
impeccable-critique

无可挑剔的批评 · 本页

1961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

Impeccable /critique

Run the original Impeccable /critique workflow in a skills-only environment.

  • Apply frontend-design principles as baseline guardrails.
  • Treat command arguments mentioned by the user as scope hints.
  • Ask clarifying questions when context is missing.

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.

First: Use the frontend-design skill for design principles and anti-patterns.

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—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?
  • Do size, color, and position communicate importance correctly?
  • Is there visual competition between elements that should have different weights?

3. Information Architecture

  • Is the structure intuitive? Would a new user understand the organization?
  • Is related content grouped logically?
  • Are there too many choices at once? (cognitive overload)
  • Is the navigation clear and predictable?

4. Emotional Resonance

  • 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"?

5. Discoverability & Affordance

  • Are interactive elements obviously interactive?
  • Would a user know what to do without instructions?
  • 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?

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?

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?)

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?
  • Error states: Are they helpful and non-blaming?
  • Success states: Do they confirm and guide next steps?

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?
  • Does error copy help users fix the problem?

Generate Critique Report

Structure your feedback as a design director would:

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.

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:

  • What: Name the problem clearly
  • Why it matters: How this hurts users or undermines goals
  • Fix: What to do about it (be concrete)
  • Command: Which command to use (/polish, /simplify, /bolder, /quieter, etc.)

Minor Observations

Quick notes on smaller issues worth addressing.

Questions to Consider

Provocative questions that might unlock better solutions:

  • "What if the primary action were more prominent?"
  • "Does this need to feel this complex?"
  • "What would a confident version of this look like?"

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

平台分布

Codex

34.03%
按下载量换算21

Claude

31.75%
按下载量换算20

Cursor

20.08%
按下载量换算13

Gemini CLI

8.43%
按下载量换算5

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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