Token导航 LogoToken导航TokenDH.com
研究检索权限需确认github未标认证来源可访问许可证需确认审计通过

unslopunslop 搜索

Agent Skill

unslop 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

890

周安装

36

GitHub Stars

142

下载量

279
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:unslop(unslop 搜索)
来源仓库:https://github.com/poteto/noodle
仓库路径:skills/unslop
安装命令:
npx skills add https://github.com/poteto/noodle --skill unslop
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/poteto/noodle --skill unslop

简介

unslop 用于查找、检索和筛选相关信息,根据关键词或任务场景快速定位候选结果。

  • 适合在需要根据来源线索快速定位信息时使用,提升搜索效率。
  • 可结合来源仓库和原始 README 核验具体用法,建议确认权限范围和维护状态。
  • 安装命令:npx skills add https://github.com/poteto/noodle --skill unslop。
  • 适用于 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

SKILL.md

Unslop

Edit text to remove AI patterns and add human voice.

Process

  1. Scan for the patterns below
  2. Rewrite — preserve meaning, match intended tone
  3. Add soul (see next section)
  4. Self-audit: "What makes this obviously AI generated?" Fix remaining tells.

Adding soul

Removing patterns is half the job. Sterile, voiceless writing is just as obvious.

  • Have opinions. React to facts instead of neutrally listing pros and cons.
  • Vary rhythm. Short sentences. Then longer ones that take their time. Mix it up.
  • Acknowledge complexity. "Impressive but also kind of unsettling" beats "impressive."
  • Use "I" when it fits. First person isn't unprofessional.
  • Let some mess in. Perfect structure feels algorithmic.
  • Be specific. Not "this is concerning" but "there's something unsettling about agents churning away at 3am."

Patterns to detect and fix

Content

  1. Significance inflation — "pivotal moment", "testament to", "evolving landscape", "setting the stage for", "indelible mark", "deeply rooted". Cut puffery, state what happened.
  2. Notability name-dropping — listing media outlets without context. Pick one, say what was said.
  3. Superficial -ing phrases — "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete or expand with real sources.
  4. Promotional language — "nestled", "vibrant", "breathtaking", "groundbreaking", "renowned", "stunning", "must-visit". Use neutral descriptions.
  5. Vague attributions — "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete.
  6. Formulaic challenges — "Despite challenges... continues to thrive." Replace with specific facts.

Language

  1. AI vocabulary — Additionally, crucial, delve, enduring, enhance, fostering, garner, interplay, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore, vibrant. Replace with plain words.
  2. Copula avoidance — "serves as", "stands as", "boasts", "features". Just say "is" or "has".
  3. Negative parallelisms — "It's not just X, it's Y." State the point directly.
  4. Rule of three — forcing ideas into groups of three. Use the natural number.
  5. Synonym cycling — protagonist/main character/central figure/hero in one paragraph. Pick one, repeat it.
  6. False ranges — "from X to Y" where X and Y aren't on a meaningful scale. List topics directly.

Style

  1. Em dash overuse — avoid em dashes entirely. Use periods, commas, or parentheses. Em dashes are an AI tell.
  2. Colon overuse — colons are fine before a list or example. Not as mid-sentence connectors. "If you're coming from traditional automation: instead of registering event handlers, you describe conditions" adds nothing with the colon. Rewrite to let the point stand on its own without comparison framing. "Describing when the scheduler should fire works best as plain English." Same meaning, no crutch punctuation.
  3. Boldface overuse — don't bold every proper noun or acronym.
  4. Inline-header lists — "Performance: Performance improved..." Convert to prose.
  5. Title case headings — use sentence case.
  6. Decorative emojis — remove from headings and bullets.
  7. Curly quotes — replace with straight quotes.

Communication artifacts

  1. Chatbot phrases — "I hope this helps!", "Let me know if...", "Of course!", "Certainly!" Remove.
  2. Cutoff disclaimers — "While specific details are limited..." Find sources or remove.
  3. Sycophantic tone — "Great question! You're absolutely right!" Respond directly.

Filler

  1. Filler phrases — "In order to" → "To". "Due to the fact that" → "Because". "It is important to note that" → delete.
  2. Excessive hedging — "could potentially possibly be argued that it might" → "may".
  3. Generic conclusions — "The future looks bright." State specific plans or facts.

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

34.43%
按下载量换算96

Claude

31.64%
按下载量换算88

Cursor

18.15%
按下载量换算51

Gemini CLI

9.62%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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

继续浏览同类 Skills