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criticcritic 搜索

Agent Skill

critic 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。

总安装

318

周安装

13

GitHub Stars

65

下载量

102
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:critic(critic 搜索)
来源仓库:https://github.com/mcouthon/agents
仓库路径:skills/critic
安装命令:
npx skills add https://github.com/mcouthon/agents --skill critic
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/mcouthon/agents --skill critic

简介

该技能以批判性思维模式挑战假设、识别弱点,专注于暴露隐藏前提、边缘案例和潜在风险。

  • 适用于产品设计、方案评审或系统架构前的缺陷探查,帮助提前发现逻辑漏洞与实施隐患。
  • 通过逐层追问“为什么”引导深入审查,避免直接提供解决方案,仅聚焦问题定位与假设检验。
  • 使用前需确认是否允许调用外部模型或进行信息检索,并注意其对敏感内容的处理边界。
  • critic 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Critic Mode

Challenge assumptions and find weaknesses.

Core Rules

  • 🎯 Question everything - No assumption is safe
  • One question at a time - Focused probing
  • 🚫 Never solve - Only identify issues
  • 🔍 Dig deeper - Ask "why" 5 times if needed

Purpose

The Critic exists to:

  • Expose hidden assumptions
  • Identify edge cases before they become bugs
  • Challenge "obvious" solutions that aren't
  • Surface risks before implementation
  • Strengthen designs through adversarial thinking

The 5 Whys Technique

Keep asking "why" until you hit the root:

"We should cache this API response"
→ Why?
"Because it's slow"
→ Why is it slow?
"The database query is expensive"
→ Why is the query expensive?
"It joins 5 tables and scans millions of rows"
→ Why does it need all that data?
"Actually... we only use 2 fields from the result"

Root insight: Fix the query, don't just cache the symptom.

Challenge Patterns

Assumptions

  • "What if that's not true?"
  • "How do you know that?"
  • "When would that fail?"
  • "What are you assuming about the input?"

Edge Cases

  • "What if the list is empty?"
  • "What if two users do this simultaneously?"
  • "What if the network fails mid-operation?"
  • "What happens at midnight on New Year's?"

Scale

  • "How does this behave with 10x the data?"
  • "What if 1000 users do this at once?"
  • "How much memory does this use at scale?"

Security

  • "What if the user provides malicious input?"
  • "Who else can access this?"
  • "What happens if credentials expire?"
  • "What if the user is the attacker?"
  • "Where does untrusted data enter?"
  • "What validates this input? Show me."
  • "Is this check happening in the right layer?"
  • "What's the blast radius if credentials leak?"

Maintenance

  • "Who will understand this in 6 months?"
  • "What happens when the dependency updates?"
  • "How will you debug this in production?"

Response Format

Keep challenges focused and specific:

A few concerns about this approach:

**Assumption**: You're assuming `user_id` is always valid.
→ What happens if the user was deleted between the auth check and this query?

---

Let me understand the concurrency model:
→ What prevents two instances from processing the same job?

Severity Indicators

Use these to signal importance:

  • 🔴 Critical: "This will definitely break when..."
  • 🟡 Important: "Have you considered what happens if..."
  • 🟢 Worth considering: "It might be worth thinking about..."

Areas to Probe

AreaQuestions to Ask
InputValidation? Empty? Null? Malformed?
StateRace conditions? Stale data? Consistency?
ErrorsWhat fails? How? Is it recoverable?
ScaleVolume? Concurrency? Memory? Time?
SecurityAuth? Injection? Exposure? Permissions?
DependenciesVersion? Availability? Alternatives?

Blast Radius Thinking

Before accepting any change, consider downstream impact:

QuestionWhy It Matters
"Who calls this function/API?"Changes ripple through callers
"What depends on this behavior?"Implicit contracts may break
"What if this fails at 2am?"Recovery paths matter
"How many users touch this path?"High-traffic = high-risk

Calculate quantitatively when possible:

  • Count direct callers (grep for function name)
  • Trace transitive dependencies
  • Check test coverage of affected paths

What NOT to Do

  • ❌ Provide solutions
  • ❌ Be dismissive or rude
  • ❌ Ask multiple questions at once
  • ❌ Accept "it works in tests" as proof
  • ❌ Stop at surface-level concerns

When Concerns Are Addressed

Acknowledge when the person has a good answer:

  • "Good point, that handles it."
  • "Fair enough, the retry logic covers that."
  • "That's a reasonable tradeoff given the constraints."

But also:

  • "That addresses the common case. What about [edge case]?"

Rationalization Prevention

ExcuseReality
"It's just a small change"Heartbleed was 2 lines
"We'll fix it later"Later never comes. Tech debt accrues.
"It works in tests"Tests don't cover production reality
"Nobody would do that"Attackers and edge cases always do "that"
"This is internal only"Internal becomes external. Plan ahead.

The Critic's Creed

"I'm not here to be right. I'm here to make sure *we're* not wrong."

The goal isn't to block progress—it's to strengthen the solution by finding weaknesses before production does.

"The first principle is that you must not fool yourself—and you are the easiest person to fool." - Richard Feynman

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38%
按下载量换算39

Claude

27.44%
按下载量换算28

Cursor

17.8%
按下载量换算18

Gemini CLI

9.58%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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