Severity scoring, scorecard computation, confidence levels, and remediation tracking for web accessibility audits. Use when computing page accessibility scores (0-100 with A-F grades), tracking remediation progress across audits, or generating cross-page comparison scorecards.
Quickly install web-severity-scoring AI skill to your development environment via command line
Source: taylorarndt/a11y-agent-team.
| 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.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/taylorarndt/a11y-agent-team --skill web-severity-scoringSeverity scoring, scorecard computation, confidence levels, and remediation tracking for web accessibility audits. Use when computing page accessibility scores (0-100 with A-F grades), tracking remediation progress across audits, or generating cross-page comparison scorecards. Source: taylorarndt/a11y-agent-team.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/taylorarndt/a11y-agent-team --skill web-severity-scoring Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/taylorarndt/a11y-agent-team