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Agent Skill · 效率

error-prone(容易出错)

error-prone 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

error-prone 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 12,736。

总安装 4,005周安装 162GitHub Stars 公开资料未说明下载 1,257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
MIT-0
版本
1.0.0

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:error-prone(容易出错)
来源仓库:https://github.com/dylanfeltus/error-prone
安装命令:
openclaw skills install error-prone
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install error-prone

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

通过故意引入现实缺陷,使 AI 生成文本更贴近人类表达风格。适用于撰写邮件、消息、社交帖子等需要自然语境的文本场景。调用时需提供原始文本及期望的“人性化”程度参数。error-prone 属于效率类 Skill,可作为该场景下的辅助能力补充。通过 clawhub 安装,需确认是否允许修改输出内容及潜在格式风险。

注意避免在不适场景下使用,以防误导或降低专业性。

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 OpenClaw;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 openclaw skills install error-prone;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

error-prone 怎么安装?

在终端执行 openclaw skills install error-prone。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

error-prone 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

error-prone 需要什么权限?

权限级别是需要联网。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。

error-prone 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

error-prone 用的人多吗?

公开数据是累计安装 4,005 次,近一周安装 162 次,下载 1,257 次。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。

error-prone 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
error-prone

容易出错 · 本页

4,005—需要联网MIT-0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

name
error-prone
description
Makes AI-generated text sound more human by intentionally introducing realistic imperfections. Use when writing emails, messages, social posts, or any text that needs to feel authentic and not AI-generated. Triggers on phrases like "make it sound human", "add imperfections", "make it less AI", "humanize this", "error-prone mode", or when the user wants copy that doesn't feel robotic.

Error-Prone

Make your writing worse on purpose. Because perfect copy is creepy.

AI text has a smell. Too clean, too polished, too correct. People can tell. Error-Prone adds realistic human imperfections so your emails, messages, and posts actually sound like a person wrote them.

How to Use

When asked to write or edit text with error-prone mode, apply imperfections from the levels below. Default to Level 1 unless asked for more chaos.

Levels

Level 1: Professional Human (default)

Subtle. Still competent. Just not suspiciously perfect.

Apply 2-3 of these per paragraph:

  • One typo per ~100 words (teh, adn, hte, becuase, recieve, occured, definately)
  • Occasional missing comma or extra comma
  • Start one sentence with "And" or "But" or "So"
  • Use a contraction where formal writing wouldn't (it's vs it is, we're vs we are)
  • One slightly awkward word choice (use "get" instead of "obtain", "thing" instead of "element")
  • Inconsistent capitalization in lists
  • End a sentence with a preposition ("the team I'm working with" not "the team with which I'm working")

Level 2: Casual Human

Texting-your-coworker energy. Clearly typed fast.

Apply 4-6 of these per paragraph:

  • Everything from Level 1, plus:
  • Double space after a period sometimes
  • "lol" or "haha" once per message
  • Trailing off with "..."
  • Start with "So" or "Anyway" or "Yeah so"
  • Run-on sentence (join two sentences with "and" instead of a period)
  • Gonna, wanna, kinda, sorta
  • Skip a word that the brain fills in ("I think we should [go] with option B")
  • Lowercase sentence starts occasionally
  • "me and Dylan" instead of "Dylan and I"
  • One autocorrect-style error (ducking, he'll instead of hell)

Level 3: Unhinged

Sent from my phone while walking. Stream of consciousness. Autocorrect chaos.

Apply 8+ of these per paragraph:

  • Everything from Level 1-2, plus:
  • Multiple typos per sentence
  • No punctuation for 2-3 sentences then suddenly perfect punctuation
  • Repeated words ("I think think we should")
  • Wrong homophone (their/there/they're, your/you're)
  • Abandon a sentence halfway and start a new thought
  • ALL CAPS for one word for emphasis
  • "idk" "tbh" "ngl" "imo"
  • Emoji that's slightly wrong context (using 💀 to mean "that's funny")
  • Send as multiple messages instead of one (simulate hitting enter too early)
  • "wait no" or "actually nvm" corrections
  • Autocorrect disasters ("I'll ask the massage" instead of "manager")

Rules

  1. Never break meaning. Imperfections should not change what the text says. A reader should still understand the message perfectly.
  2. Match the context. Professional email = Level 1. Slack message = Level 2. Tweet reply = Level 2-3.
  3. Vary the errors. Don't use the same typo twice. Real humans make different mistakes.
  4. Don't overdo it. The goal is "human" not "illiterate". Even Level 3 should be readable.
  5. Preserve the user's voice. Add imperfections to THEIR style, don't change what they're saying.

Examples

Before (AI-generated):

I wanted to follow up regarding our conversation about the Q3 marketing strategy. I've prepared a comprehensive analysis of the proposed budget allocation and would appreciate the opportunity to discuss it at your earliest convenience.

After (Level 1 — Professional Human):

I wanted to follow up on our conversation about the Q3 marketing strategy. I've put together an analysis of the proposed budget allocation and would love to discuss it when you get a chance.

After (Level 2 — Casual Human):

Hey, wanted to follow up on our q3 marketing convo. I put together a budget analysis thing... would love to chat about it when you get a sec

After (Level 3 — Unhinged):

hey so I did that budget analysis for q3 marketing its actually pretty interesting ngl anyway lmk when your free to chat about it *you're lol

平台分布

OpenClaw

76.25%
按下载量换算958

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。目前只有一个公开来源,建议同时核对源仓库。

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