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.
npx skills add Arnosdeus/agent-toolkit --skill frontend-reviewgit clone --depth 1 https://github.com/Arnosdeus/agent-toolkitWrote 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/arnosdeus/agent-toolkit/frontend-review)<a href="https://agentmods.dev/skills/arnosdeus/agent-toolkit/frontend-review"><img src="https://agentmods.dev/badge/skills/arnosdeus/agent-toolkit/frontend-review/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/skills/arnosdeus/agent-toolkit/frontend-review"><img src="https://agentmods.dev/badge/skills/arnosdeus/agent-toolkit/frontend-review.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 | $0.00025 | $0.00196 |
| Opus 5.5 | $0.00010 | $0.00078 |
| Sonnet 5.5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
frontend-review 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.
What it actually says
Frontend Review
Procedure and output
Inspect changed components, states, routes, and design tokens; run focused
checks and Playwright where practical. Report BLOCKER, MAJOR, MINOR, or
NOTE findings as file:line — issue — evidence — fix, followed by checks run
and explicit unknowns.
Inspect component boundaries, state management, browser compatibility,
responsiveness, semantic HTML, accessibility, design-system adherence, loading,
error and empty states, forms, navigation, hierarchy, typography, spacing,
interaction states, duplication, and unnecessary dependencies. Cross-reference
the project's design system, TasteSkill, and web-design-guidelines. Use
Playwright for meaningful UI flows and report file/line evidence plus concrete
fixes. Do not redesign unrelated surfaces.
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 · 22 lines · 25 tokens per session scan A bff163e22a85
frontend-review is a skill published in the GitHub repository Arnosdeus/agent-toolkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 196 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 2026-08-31.
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