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Agent Skill · 研究检索

edge-case-identification(边缘情况识别)

edge-case-identification 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。

edge-case-identification 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,权限为接触敏感数据;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 36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:edge-case-identification(边缘情况识别)
来源仓库:https://github.com/owl-listener/inclusive-design-skills
仓库路径:skills/edge-case-identification
安装命令:
npx skills add https://github.com/owl-listener/inclusive-design-skills --skill edge-case-identification
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/owl-listener/inclusive-design-skills --skill edge-case-identification

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。

edge-case-identification 识别团队视为边缘但对残障用户至关重要的使用场景,推动包容性设计。涵盖输入、操作、认知、网络与输出五大类边缘情况,挑战“这只是边缘案例”的推诿逻辑。主张影响残障用户的用例不是边缘而是基本需求,提升产品普适性与合规水平。

安装命令:npx skills add https://github.com/owl-listener/inclusive-design-skills --skill edge-case-identification 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/edge-case-identification

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/owl-listener/inclusive-design-skills --skill e…;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

    它需要接触敏感数据,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

edge-case-identification 怎么安装?

在终端执行 npx skills add https://github.com/owl-listener/inclusive-design-skills --skill edge-case-i…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

edge-case-identification 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。

edge-case-identification 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

edge-case-identification 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。

edge-case-identification 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 36 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。

edge-case-identification 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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
edge-case-identification

边缘情况识别 · 本页

19636接触敏感数据未明确通过

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

Edge Case Identification

Identify the scenarios that teams dismiss as "edge cases" but that are everyday reality for users with disabilities. An edge case for the team is often a primary case for someone.

Core Principle

"That's an edge case" is the most common way accessibility gets deprioritised. If it affects people with disabilities, it's not an edge case — it's a design requirement you haven't met.

Categories of Overlooked Edge Cases

Input Edge Cases

  • User cannot use a mouse (keyboard only)
  • User cannot use a keyboard (voice or switch only)
  • User cannot use both hands (one-handed operation)
  • User pastes content instead of typing it
  • User uses autocomplete or password manager to fill fields
  • User enters content in a different script or language
  • User inputs using dictation with punctuation spoken aloud

Output Edge Cases

  • User cannot see the screen (screen reader)
  • User sees only a small portion of the screen (magnification)
  • User cannot distinguish colours
  • User cannot hear audio
  • User has screen in greyscale mode or high contrast mode
  • User has text scaled to 200%
  • User has animations disabled

Content Edge Cases

  • Extremely long names (hyphenated, multi-word, cultural naming)
  • Non-Latin characters in name or address fields
  • Empty states where no data exists yet
  • Error states when everything goes wrong at once
  • First-time use with no prior context
  • Returning after months away with forgotten context
  • Content in the wrong language for the user

Context Edge Cases

  • Session timeout during a long form
  • Connection lost mid-task
  • Battery dying during a critical flow
  • Screen rotation mid-interaction
  • System font size set to maximum
  • Browser zoom at 200% or higher
  • Ad blocker or privacy extension modifying the page

Timing Edge Cases

  • User is much slower than expected (switch user, cognitive delay)
  • User is much faster than expected (screen reader power user)
  • User needs to pause mid-task for hours or days
  • Timed session expires before user finishes
  • Content updates while user is reading it

How to Find Edge Cases

The "What If" Exercise

For each step in a flow, ask:

  • What if the user can't see this?
  • What if the user can't click this?
  • What if the user can't understand this?
  • What if the user takes 10x longer than expected?
  • What if the user leaves and comes back tomorrow?
  • What if this field contains unexpected content?

The Inversion Test

Take your happy path scenario. Invert each assumption:

  • "User is on a desktop" → mobile, or tablet, or screen reader
  • "User has fast internet" → slow, intermittent, or offline
  • "User reads English fluently" → low literacy or second language
  • "User can see the colour change" → colour blind or blind
  • "User completes this in one sitting" → interrupted, returns later

Response to "That's an Edge Case"

When someone says this, ask:

  1. How many users does this affect? (often more than assumed)
  2. How severe is the impact? (a blocked user is worse than a mildly inconvenienced one)
  3. Is this a permanent condition for some users? (then it's their daily experience, not an edge case)
  4. Would fixing this improve the experience for other users too? (almost always yes)

Assessment Questions

  1. Has the team mapped edge cases beyond the happy path?
  2. Have input, output, content, context, and timing edge cases been considered?
  3. Are there dismissed "edge cases" that are daily reality for users with disabilities?
  4. Does the test plan include scenarios for assistive technology users?

平台分布

Codex

35.39%
按下载量换算22

Claude

29.57%
按下载量换算19

Cursor

18.62%
按下载量换算12

Gemini CLI

8.24%
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

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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