Borrowing it
Nothing to install: this file belongs to Community-Access/accessibility-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Community-Access/accessibility-agents/main/.gemini/extensions/a11y-agents/skills/web-severity-scoring/SKILL.mdgit clone --depth 1 https://github.com/Community-Access/accessibility-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/community-access/accessibility-agents/web-severity-scoring)<a href="https://agentmods.dev/skills/community-access/accessibility-agents/web-severity-scoring"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/web-severity-scoring.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.01104 |
| Opus 5 | $0.00026 | $0.00552 |
| Sonnet 5 | $0.00011 | $0.00221 |
| Haiku 4.5 | $0.00005 | $0.00110 |
Grade A, and why
web-severity-scoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Severity Scoring
Severity Scoring Formula
Page Score = 100 - (sum of weighted findings)
Weights:
Critical (high confidence, both sources): -15 points
Critical (high confidence, single source): -10 points
Critical (medium confidence): -7 points
Critical (low confidence): -3 points
Serious (high confidence): -7 points
Serious (medium confidence): -5 points
Serious (low confidence): -2 points
Moderate (high confidence): -3 points
Moderate (medium confidence): -2 points
Moderate (low confidence): -1 point
Minor: -1 point
Floor: 0 (minimum score)
Score Grades
| Score | Grade | Meaning |
|---|---|---|
| 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 |
Confidence Levels
| Level | Weight | When to Use |
|---|---|---|
| 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) |
Source Correlation
Issues found by both axe-core AND agent review are automatically upgraded to high confidence regardless of individual confidence ratings.
Scorecard Format
Single Page
## Accessibility Score
| Metric | Value |
|--------|-------|
| Page | [URL] |
| Score | [0-100] |
| Grade | [A-F] |
| Critical | [count] |
| Serious | [count] |
| Moderate | [count] |
| Minor | [count] |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 137 lines · 53 tokens per session scan A 5a57e67d84ac
web-severity-scoring is a skill published in the GitHub repository Community-Access/accessibility-agents (405 stars, last pushed 26d ago), licensed MIT. It adds 53 tokens to every session and 1,104 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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