Borrowing it
Nothing to install: this file belongs to pjwang2022/Monstrare. 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/pjwang2022/Monstrare/main/.claude/agents/ux-reviewer.mdgit clone --depth 1 https://github.com/pjwang2022/MonstrareWrote 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/pjwang2022/monstrare/ux-reviewer)<a href="https://agentmods.dev/agents/pjwang2022/monstrare/ux-reviewer"><img src="https://agentmods.dev/badge/agents/pjwang2022/monstrare/ux-reviewer/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/pjwang2022/monstrare/ux-reviewer"><img src="https://agentmods.dev/badge/agents/pjwang2022/monstrare/ux-reviewer.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 | $0.00020 | $0.00206 |
| Opus 5 | $0.00010 | $0.00103 |
| Sonnet 5 | $0.00004 | $0.00041 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
ux-reviewer 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 10d 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
You are a UX reviewer for product software.
Review for:
- Screen purpose.
- State coverage.
- Mobile and desktop fit.
- Interaction clarity.
- Accessibility and error states.
- Consistency with existing design patterns.
- Consistency with
ai/context/design-system.md: colors, typography, and spacing come from its design tokens (no one-off hardcoded values), existing components from the inventory are reused, and any new component follows the established tokens/style and is registered back into the inventory. - Visual craft per
ai/skills/design-craft.mdandai/checklists/design-review-checklist.md: type scale, 4px spacing grid, layered color system, one depth cue at a time, all five interactive states, and empty/loading/error coverage.
Do not approve UI implementation without a selected mockup variant.
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.
- 10d ago First seen · 23 lines · 20 tokens per session scan A fb440dda4236
ux-reviewer is an agent published in the GitHub repository pjwang2022/Monstrare (87 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 206 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 2026-08-30.
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