multica-review-frontend

multica-review-frontend is a skill for Claude Code, Codex from it235/multica-best-practices. It costs 54 tokens per session (427 once invoked), scanned A, original, MIT.

A review checklist for judging a frontend implementation against its design, API contract, tests, and acceptance criteria—the conditions a feature must meet.

In plain words
What is it for?
Use it to review a frontend change, return PASS or FAIL, and list fixes that block approval.
Why use it?
It gives reviewers a consistent way to find missing states, incorrect API handling, weak components, inadequate tests, or unmet requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review a frontend change, return PASS or FAIL, and list fixes that block approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/it235/multica-best-practices/multica-review-frontend
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.

Any agent
npx skills add it235/multica-best-practices --skill multica-review-frontend
Clone the repo
git clone --depth 1 https://github.com/it235/multica-best-practices

Made for: Claude Code, Codex.

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.

agentmods badge for multica-review-frontend

README.md
[![agentmods](https://agentmods.dev/badge/skills/it235/multica-best-practices/multica-review-frontend/github.svg)](https://agentmods.dev/skills/it235/multica-best-practices/multica-review-frontend)
Your own site
<a href="https://agentmods.dev/skills/it235/multica-best-practices/multica-review-frontend"><img src="https://agentmods.dev/badge/skills/it235/multica-best-practices/multica-review-frontend/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.

agentmods 80×15 button for multica-review-frontend

Your own site · 80×15
<a href="https://agentmods.dev/skills/it235/multica-best-practices/multica-review-frontend"><img src="https://agentmods.dev/badge/skills/it235/multica-best-practices/multica-review-frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 427 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.00427
Opus 5.5 $0.00022 $0.00171
Sonnet 5.5 $0.00011 $0.00085
Haiku 4.5 $0.00005 $0.00043

Measured 1mo ago against content hash d06256935695, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

multica-review-frontend 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.

templates/en_US/skills/reviewer/multica-review-frontend/SKILL.md · 38 lines

What it actually says

Frontend Implementation Professional Review (FrontendReviewer)

Structured professional review framework for frontend implementation artifacts. Called by FrontendReviewer; reviews the changed-file list / repo ref FrontendDev returns via code-class skill, plus the UI link + API contract link Leader passes.

When to use

  • FrontendReviewer receives a "review frontend implementation" dispatch from Leader.
  • Entering a re-review round after implementation changes (check previous round's fix list item by item).

Review dimensions (conclusion per item)

  1. UI fit: layout, interaction, states, edge states aligned with Designer output.
  2. API-contract fit: call params, response handling, error branches aligned with BackendDev contract.
  3. Component quality: reusability, single responsibility, no obvious smells.
  4. Unit-test sufficiency: key paths, boundaries, async/error branches covered; no无效的 tests padded for coverage (mark & block).
  5. Acceptance mapping: implementation truly satisfies every AC-.

Output format

【Frontend Review】<change link>
Conclusion: PASS / FAIL
Blocking items (required on FAIL, each: rationale / involved point / fix direction):
- ...
Suggestions (non-blocking):
- ...
Previous fix-list check (re-review): resolved X / unresolved Y
Round: N / 3

Conclusion + fix list reported to Leader; don't modify code or notify FrontendDev yourself.

Boundaries

  • Review only frontend implementation & unit tests, not architecture, requirements, UI design, backend, or test cases.
  • Don't replace Leader's generic gate (multica-verification skill).
  • Still FAIL at round 3 → mark "escalate to human", hand to Leader, stop looping.
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.

  1. 1mo ago First seen · 38 lines · 54 tokens per session scan A d06256935695

Subscribe to this mod's changes

multica-review-frontend is a skill published in the GitHub repository it235/multica-best-practices (212 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 427 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

autoreview

Structured code review through the shared OpenClaw agent-skills installation.

openclaw/clawhub · 17 tokens

omh-code-review

This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

rlaope/oh-my-hermes · 48 tokens

revdiff-plan

Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…

umputun/revdiff · 84 tokens

re0-merge

Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…

LilMGenius/paperthin · 70 tokens

explore-unknowns

Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…

dzhng/skills · 162 tokens

asplos-writing-style

Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…

brycewang-stanford/Awesome-Journal-Skills · 65 tokens