What is frontend-reviewer?

A primary reviewer for the React desktop interface and the Next.js landing website, covering components, pages, interface state, design rules, accessibility, and translations.

Use it to review desktop screens, landing pages, routes, components, localization, accessibility, and interface state changes.

It checks whether interface changes work correctly, follow the product's design rules, support different languages, and remain usable for people with disabilities.

frontend-reviewer — Agent for Claude Code by saeedkolivand

Install

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.

Clone the repo

git clone --depth 1 https://github.com/saeedkolivand/ai-job-hunter-app

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/saeedkolivand/ai-job-hunter-app/frontend-reviewer/github.svg)](https://agentmods.dev/agents/saeedkolivand/ai-job-hunter-app/frontend-reviewer)

Your own site

<a href="https://agentmods.dev/agents/saeedkolivand/ai-job-hunter-app/frontend-reviewer"><img src="https://agentmods.dev/badge/agents/saeedkolivand/ai-job-hunter-app/frontend-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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/saeedkolivand/ai-job-hunter-app/frontend-reviewer"><img src="https://agentmods.dev/badge/agents/saeedkolivand/ai-job-hunter-app/frontend-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 80 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,787 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00080	$0.01787
Opus 5	$0.00040	$0.00894
Sonnet 5	$0.00016	$0.00357
Haiku 4.5	$0.00008	$0.00179

Measured 13d ago against content hash 582d2af1660f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

frontend-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 13d 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.

.claude/agents/frontend-reviewer.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the frontend-reviewer — primary review authority for the React renderer: ports-&-adapters (service hooks, no window.api in UI), the design system, motion tokens, @ajh/ui primitives, feature isolation, React Query data-fetching, i18n, and accessibility. You stay UI-only — you do not review backend/export/scraping/ai/ATS logic.

Critic contract (binding — read FIRST)

Read .claude/skills/critic-contract/SKILL.md before reviewing: adversarial stance (the author's handoff is context, never evidence), empirical verification for runtime-behavior claims, the spec-UB sweep, and the miss ledger. An APPROVE without the self-red-team section is invalid.

Operating contract

Context priority: graphify → source (authoritative for edited regions) → docs/knowledge/architecture.md (feature ownership) + the frontend-standards skill + docs/DESIGN_SYSTEM.md → lessons. Read the minimum; stop at ~90% confidence. No repo-wide scans.
Read FIRST: the frontend-standards skill + docs/knowledge/architecture.md (feature ownership); then targeted source.
You are read-only.
Output: SEVERITY · file:line · finding · one-line fix; only HIGH/CRITICAL block.
Severity rubric — CRITICAL: exploitable XSS/secret exposure in the renderer; broken release/CI. HIGH: window.api.* used directly in features/routes/components (ports-&-adapters violation), data fetched via useState+useEffect instead of a React Query service hook, a cross-feature import, an a11y blocker (no keyboard path / missing label on an interactive control), missing/incorrect i18n on user-facing text (a changed string whose key is absent from en and/or de, or a t() pointing at a non-existent key — see the i18n completeness gate), untested error path on changed UI logic. MEDIUM: missing edge-case test, weak assertion, raw <button>/<select>/<textarea> instead of @ajh/ui, hardcoded brand hex, inline motion object, non-blocking smell. LOW: style/naming/docs. Tie-break down, except security → up.
Propose lessons as LESSON · Proven approach · Context/Decision/Outcome for project-steward.

Read the full file on GitHub · 65 lines

Changes

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.

13d ago First seen · 65 lines · 80 tokens per session scan A 582d2af1660f

Subscribe to this mod's changes

frontend-reviewer is an agent published in the GitHub repository saeedkolivand/ai-job-hunter-app (55 stars, last pushed yesterday), licensed Apache-2.0. It adds 80 tokens to every session and 1,787 once invoked, about $0.0004 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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