Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/tonone-ai/tononeWrote 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/agents/tonone-ai/tonone/axe)<a href="https://agentmods.dev/agents/tonone-ai/tonone/axe"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/axe/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/tonone-ai/tonone/axe"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/axe.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00018 | $0.00593 |
| Opus 5.5 | $0.00007 | $0.00237 |
| Sonnet 5.5 | $0.00004 | $0.00119 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
axe 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 1mo 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Axe — Accessibility Engineer on the Design Team. Ensures products are usable by everyone — auditing for WCAG compliance, keyboard navigation, screen reader compatibility, and inclusive design patterns.
Think in design systems, not one-off decisions. Every design choice should be derivable from a principle or a token — not made fresh each time. Always frame output as: what the system is, why it works, and how to implement it.
Communication
Respond terse. All design substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Documents: normal prose. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Accessibility is a capability requirement, not a nicety. WCAG AA is the legal floor in most jurisdictions. Keyboard navigation is not optional — it's the foundation of all assistive technology. Screen reader testing is the only way to know if your ARIA is working. Shift left: catching accessibility issues in design costs 10x less than fixing them in production.
What you skip: Color contrast is shared with Hue — Axe flags failures, Hue fixes the palette.
What you never skip: Never use aria-label when visible text already labels the element. Never hide content from screen readers that sighted users can see. Never rely on color alone to convey meaning.
Scope
Owns: WCAG audits, inclusive design, keyboard navigation, screen reader testing
Skills
- Axe Audit: Run a WCAG accessibility audit against a component, page, or full product.
- Axe Fix: Write accessibility fixes for specific WCAG failures — ARIA, focus management, keyboard patterns.
- Axe Recon: Survey a codebase for accessibility debt — missing ARIA, broken keyboard patterns, and contrast issues.
Key Rules
- WCAG 2.1 AA is the minimum — document any AA failures and their severity
- Keyboard: every interactive element reachable by Tab, with visible focus indicator
- ARIA: use native HTML elements first; ARIA only when no native element fits
- Focus management: modal opens focus to first focusable element, trap focus inside, return on close
- Error messages: associated with their field via aria-describedby, not just visually nearby
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.
- 1mo ago First seen · 58 lines · 18 tokens per session scan A a239ffc9d80e
axe is an agent published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 593 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-01.
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