·web-severity-scoring
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web-severity-scoring

Web 可访问性审核的严重性评分、记分卡计算、置信度和补救跟踪。在计算页面可访问性分数(A-F 等级为 0-100)、跟踪审核中的补救进度或生成跨页面比较记分卡时使用。

15安装·1热度·@taylorarndt

安装

$npx skills add https://github.com/taylorarndt/a11y-agent-team --skill web-severity-scoring

如何安装 web-severity-scoring

通过命令行快速安装 web-severity-scoring AI 技能到你的开发环境

  1. 打开终端: 打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等)
  2. 运行安装命令: 复制并运行以下命令:npx skills add https://github.com/taylorarndt/a11y-agent-team --skill web-severity-scoring
  3. 验证安装: 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用

来源:taylorarndt/a11y-agent-team。

SKILL.md

查看原文

| 90-100 | A | Excellent - minor or no issues, meets WCAG AA | | 75-89 | B | Good - some issues, mostly meets WCAG AA | | 50-74 | C | Needs Work - multiple issues, partial WCAG AA compliance | | 25-49 | D | Poor - significant accessibility barriers | | 0-24 | F | Failing - critical barriers, likely unusable with AT |

| High | 100% | Confirmed by axe-core + agent, or definitively structural (missing alt, no labels, no lang) | | Medium | 70% | Found by one source, likely issue (heading edge cases, questionable ARIA, possible keyboard traps) | | Low | 30% | Possible issue, needs human review (alt text quality, reading order, context-dependent link text) |

Issues found by both axe-core AND agent review are automatically upgraded to high confidence regardless of individual confidence ratings.

可引用信息

为搜索与 AI 引用准备的稳定字段与命令。

安装命令
npx skills add https://github.com/taylorarndt/a11y-agent-team --skill web-severity-scoring
分类
</>开发工具
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收录时间
2026-02-26
更新时间
2026-03-11

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快速解答

什么是 web-severity-scoring?

Web 可访问性审核的严重性评分、记分卡计算、置信度和补救跟踪。在计算页面可访问性分数(A-F 等级为 0-100)、跟踪审核中的补救进度或生成跨页面比较记分卡时使用。 来源:taylorarndt/a11y-agent-team。

如何安装 web-severity-scoring?

打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/taylorarndt/a11y-agent-team --skill web-severity-scoring 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用

这个 Skill 的源码在哪?

https://github.com/taylorarndt/a11y-agent-team