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Agent Skill · 研究检索

github-a11y-scanner(GitHub a11y scanner 搜索)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

github-a11y-scanner 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 30,139。

总安装 2,933周安装 126GitHub Stars 256下载 1,028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:github-a11y-scanner(GitHub a11y scanner 搜索)
来源仓库:https://github.com/community-access/accessibility-agents
仓库路径:skills/github-a11y-scanner
安装命令:
npx skills add https://github.com/community-access/accessibility-agents --skill github-a11y-scanner
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/community-access/accessibility-agents --skill github-a11y-scanner

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。

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项。通过 npx skills add 命令从指定仓库安装使用。涉及写入操作时需确认 token 权限和用户授权,区分只读与写操作。

可结合原始 README 进一步了解具体功能和使用方法。

来源仓库内路径:skills/github-a11y-scanner

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/community-access/accessibility-agents --skill…;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

    它需要操作浏览器,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

github-a11y-scanner 怎么安装?

在终端执行 npx skills add https://github.com/community-access/accessibility-agents --skill github-a11…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

github-a11y-scanner 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。

github-a11y-scanner 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

github-a11y-scanner 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。

github-a11y-scanner 用的人多吗?

公开数据是累计安装 2,933 次,近一周安装 126 次,下载 1,028 次,GitHub 256 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。

github-a11y-scanner 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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

  • 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
github-a11y-scanner

GitHub a11y scanner 搜索 · 本页

2,933256操作浏览器未明确有提醒

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

GitHub Accessibility Scanner Integration

What Is the GitHub Accessibility Scanner?

The GitHub Accessibility Scanner (github/accessibility-scanner@v2) is an official GitHub Action that:

  • Scans live URLs for accessibility barriers using axe-core in a headless browser
  • Creates trackable GitHub Issues for each finding, with affected element, WCAG criterion, and remediation guidance
  • Optionally assigns issues to GitHub Copilot for AI-powered fix suggestions and PR creation
  • Caches results across runs for delta detection (new, fixed, persistent findings)
  • Supports authenticated scanning (login flows, SSO, passkeys via Playwright auth context)
  • Optionally captures screenshots and attaches them to filed issues

Current version: v2 (public preview)

Detecting Scanner Presence

To determine whether a repository has the GitHub Accessibility Scanner configured:

Workflow File Detection

Search for workflow files referencing the scanner action:

# Search in .github/workflows/ for the scanner action reference
grep -rl "github/accessibility-scanner" .github/workflows/

Pattern to match in YAML:

- uses: github/accessibility-scanner@v2

Workflow Inputs

When a scanner workflow is found, extract its configuration:

InputRequiredDescription
urlsYesNewline-delimited list of URLs to scan
repositoryYesRepository (owner/name) where issues and PRs are created
tokenYesFine-grained PAT with write access (contents, issues, PRs, metadata)
cache_keyYesFilename for caching results across runs (e.g., cached_results-mysite.json)
login_urlNoLogin page URL for authenticated scanning
usernameNoUsername for authentication
passwordNoPassword for authentication (via repository secret)
auth_contextNoStringified JSON for complex authentication (Playwright session state)
skip_copilot_assignmentNoSet true to skip assigning issues to Copilot
include_screenshotsNoSet true to capture screenshots (stored on gh-cache branch)

Parsing Scanner-Created Issues

The scanner creates GitHub Issues with a structured format. Agents should parse these fields:

Issue Identification

Scanner-created issues can be identified by:

  1. Author: The GitHub Actions bot that runs the workflow
  2. Labels: The scanner applies labels to categorize findings (typically accessibility-related labels)
  3. Body structure: Issues contain structured sections with violation details

Issue Body Structure

Scanner issues typically contain:

SectionContentAgent Use
Violation titleThe axe-core rule that was violatedMap to help-url-reference for remediation docs
WCAG criterionThe specific WCAG success criterionUsed for severity scoring and compliance mapping
Affected elementCSS selector or HTML snippet of the failing elementUsed by scanner-bridge to map to source code
Impact levelCritical, Serious, Moderate, or MinorDirect mapping to agent severity model
Remediation guidanceHow to fix the issueEnriched by agent specialists with framework-specific fixes
URLThe page URL where the issue was foundUsed for cross-referencing with local axe-core scans
Screenshot linkLink to screenshot on gh-cache branch (if enabled)Included in audit reports

Severity Mapping

The scanner uses axe-core impact levels that map directly to the agent severity model:

Scanner ImpactAgent SeverityScore Weight
CriticalCritical-15 (both sources) / -10 (single source)
SeriousSerious-7 (high confidence)
ModerateModerate-3 (high confidence)
MinorMinor-1

axe-core Rule Correlation

The scanner uses axe-core under the hood. Scanner issue titles and violation IDs correspond to axe-core rules already cataloged in help-url-reference. Common scanner-reported rules:

axe-core Rule IDWCAG CriterionCommon Description
image-alt1.1.1Images must have alternate text
label1.3.1Form elements must have labels
color-contrast1.4.3Elements must have sufficient color contrast
link-name2.4.4Links must have discernible text
html-has-lang3.1.1<html> element must have a lang attribute
button-name4.1.2Buttons must have discernible text
document-title2.4.2Documents must have <title> element
bypass2.4.1Page must have means to bypass repeated blocks
heading-order1.3.1Heading levels should increase by one
aria-allowed-attr4.1.2ARIA attributes must be allowed for element role

Caching and Delta Detection

The scanner uses a cache_key to persist results across workflow runs. This enables delta tracking:

StatusMeaning
NewIssue found in current scan but not in cached results
FixedIssue in cached results but not found in current scan (issue auto-closed)
PersistentIssue found in both current scan and cached results

Cache Key Conventions

When setting up scanner integration, align the cache key with agent conventions:

  • Use a descriptive name: cached_results-{domain}-{branch}.json
  • Include branch context for branch-specific scanning
  • The cache is stored as a GitHub Actions artifact

Correlation with Local Scans

Dual-Source Confidence Boosting

When both the GitHub Accessibility Scanner (CI) and a local axe-core scan (agent) find the same issue:

  1. Match by rule ID: Both sources use axe-core rule IDs (e.g., color-contrast, image-alt)
  2. Match by URL: Compare the scanned URL from the scanner issue with the local scan target
  3. Match by element: Compare CSS selectors or HTML paths for the affected element
  4. Boost confidence: Findings confirmed by both sources automatically receive high confidence

Source Comparison Analysis

ScenarioInterpretationAction
Found by scanner AND local scanHigh confidence -- confirmed by bothReport as high confidence, full severity weight
Found by scanner onlyEnvironment-specific or intermittentReport as medium confidence, note "CI-only finding"
Found by local scan onlyNew since last CI scan, or local-only conditionReport as medium confidence, note "local-only finding"
In scanner cache as "fixed"Recently remediatedTrack in delta section as resolved

Copilot Fix Tracking

When the scanner assigns issues to GitHub Copilot:

Fix Lifecycle

StageGitHub StateHow to Detect
Issue createdOpen issue, assigned to Copilotassignee includes Copilot bot
Fix proposedOpen PR linked to issuePR references issue number, author is Copilot
Fix reviewedPR has review commentsPR review state is CHANGES_REQUESTED or APPROVED
Fix mergedPR merged, issue closedIssue state is closed, linked PR is merged
Fix rejectedPR closed without mergePR state is closed, not merged

Querying Copilot Fix Status

# Find scanner issues assigned to Copilot
repo:{REPO} is:issue is:open assignee:copilot label:accessibility

# Find Copilot PRs from scanner issues
repo:{REPO} is:pr author:copilot-swe-agent label:accessibility

# Find merged scanner fixes
repo:{REPO} is:pr is:merged author:copilot-swe-agent label:accessibility

Structured Output Format

When scanner-bridge normalizes scanner issue data, it produces findings in this format:

{
  "source": "github-a11y-scanner",
  "ruleId": "color-contrast",
  "wcagCriterion": "1.4.3",
  "wcagLevel": "AA",
  "severity": "serious",
  "confidence": "high",
  "url": "https://example.com/login",
  "element": "button.submit-btn",
  "description": "Element has insufficient color contrast ratio of 3.2:1 (expected 4.5:1)",
  "remediation": "Change the text color or background to achieve at least 4.5:1 contrast ratio",
  "githubIssue": {
    "number": 42,
    "url": "https://github.com/owner/repo/issues/42",
    "state": "open",
    "copilotAssigned": true,
    "fixPR": null
  },
  "screenshot": "https://github.com/owner/repo/blob/gh-cache/screenshots/login-contrast.png"
}

Search Patterns for Scanner Issues

By Repository

repo:{OWNER}/{REPO} is:issue label:accessibility created:>{YYYY-MM-DD}

By Scan Run

Issues from a specific scan run share the same creation timestamp and batch pattern. Filter by:

  • Creation date matching the workflow run date
  • Common label set applied by the scanner

Cross-Repository Scanner Discovery

user:{USERNAME} is:issue label:accessibility sort:created-desc
org:{ORGNAME} is:issue label:accessibility sort:created-desc

平台分布

Claude

33.83%
按下载量换算348

Codex

33.31%
按下载量换算342

Cursor

19.15%
按下载量换算197

Gemini CLI

10.19%
按下载量换算105

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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