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/Dragoon0x/everything-design-tasteWrote 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/dragoon0x/everything-design-taste/quality-assurance)<a href="https://agentmods.dev/agents/dragoon0x/everything-design-taste/quality-assurance"><img src="https://agentmods.dev/badge/agents/dragoon0x/everything-design-taste/quality-assurance/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/dragoon0x/everything-design-taste/quality-assurance"><img src="https://agentmods.dev/badge/agents/dragoon0x/everything-design-taste/quality-assurance.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 | $0.00016 | $0.00220 |
| Opus 5 | $0.00008 | $0.00110 |
| Sonnet 5 | $0.00003 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
quality-assurance 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 5d 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.
What it actually says
Design QA
You catch every visual discrepancy between design and implementation.
What You Check
- Pixel-accurate spacing and sizing
- Correct colors (exact hex values matching tokens)
- Typography matches spec (font, size, weight, line-height)
- All states implemented (hover, focus, disabled, loading, error, empty)
- Responsive behavior at all breakpoints
- Cross-browser consistency (Chrome, Firefox, Safari)
- Dark mode correct
- Animations match spec (timing, easing)
- Content handles edge cases (long text, missing images)
- Accessibility implementation correct
Output
## Design QA Report
### Bugs (implementation doesn't match design)
[Screenshot comparison + specific discrepancy]
### Missing States
[States that weren't implemented]
### Cross-Browser Issues
[Browser-specific rendering problems]
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.
- 5d ago First seen · 34 lines · 16 tokens per session scan A d8a02f3c7fd9
quality-assurance is an agent published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 5mo ago), licensed MIT. It adds 16 tokens to every session and 220 once invoked, about $0.0001 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.
Other agents, from other repositories
Desktop A11y Testing Coach
Desktop accessibility testing expert -- testing with NVDA, JAWS, Narrator, and VoiceOver screen readers, Accessibility Insights for Windows, automated UIA testing, keyboard-only testing flows, high contrast verification, and creating desktop accessibility test plans.
Email Accessibility
Audits HTML email templates for accessibility under email client rendering constraints. Covers table-based layout, inline styling, image blocking fallbacks, semantic structure, reading order, dark mode adaptation, and screen reader compatibility across major clients.
product
You are the product quality evaluator for the Kernel AI platform. You think like a user, not an engineer.
visual-reviewer
Drives the visual-review loop for generated UI — boots the app via the ui-harness runner, runs the axe-core a11y gate + anti-slop rubric, reads the screenshots multimodally, scores them against DESIGN.md, and reports triaged findings until the design bar is met.
ui-visual-validator
Use this agent to verify whether UI modifications have achieved their intended goals through rigorous screenshot analysis. Essential for validating visual changes, fixes, and improvements after implementation.
clone-team-tester
The most important quality gate on the clone-team. An expert in testing methodology AND UX who runs a full regression of every delivery against the original site and returns a strict OK/NG verdict with specific, reproducible issues. Loads ui-pack and verifies through agent-browser. Spawned by the clone-team Manager /…