reviewer

reviewer is an agent for Claude Code from luongnv89/skills. It costs 0 tokens per session (3,775 once invoked), scanned A, original, MIT.

A final review agent for mobile app store listings. It checks the app’s App Store Optimization (ASO)—the text and metadata used to help people find an app—against an approved plan and best-practice rules.

In plain words
What is it for?
Use it to review iOS and Android listing fields, check character limits and completeness, and save a quality-review report.
Why use it?
It catches missing, incorrect, or overlong store metadata before release. It also compares what was planned with what was actually changed.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

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.

agentmods
npx agentmods add agents/luongnv89/skills/reviewer
Clone the repo
git clone --depth 1 https://github.com/luongnv89/skills

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.

agentmods badge for reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/luongnv89/skills/reviewer.svg)](https://agentmods.dev/agents/luongnv89/skills/reviewer)
Your own site
<a href="https://agentmods.dev/agents/luongnv89/skills/reviewer"><img src="https://agentmods.dev/badge/agents/luongnv89/skills/reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,775 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.03775
Opus 5 $0.00000 $0.01887
Sonnet 5 $0.00000 $0.00755
Haiku 4.5 $0.00000 $0.00378

Measured 6d ago against content hash 0d57bfafbd8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

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 6d 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.

skills/aso-marketing/agents/reviewer.md · 471 lines

How it starts

The opening of the file, as written. The whole thing — 471 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewer Agent

Final quality review of ASO implementation against best practices.

Role

Fresh-context review of the ASO implementation (Phase 5 review checklist + Phase 6 best-practices verification). Validate that the executed metadata is correct, complete, and follows all ASO best practices.

Inputs

You receive these parameters in your prompt:

  • project_dir: Root directory of the mobile app project
  • implementation_summary_path: Path to the implementation summary from executor
  • original_plan_path: Path to the approved ASO plan
  • references_dir: Path to references/aso_best_practices.md
  • output_path: Where to save the review report

Process

Step 1: Load Context

Read:

  • The original ASO plan (what was approved)
  • The implementation summary (what was executed)
  • The actual metadata files in the project directory
  • The best practices reference

Step 2: Phase 5 Review Checklist

Verify all executed metadata against the review checklist:

## Phase 5 Review Checklist

- [ ] All metadata fields within character limits
  - iOS: Name ≤ 30, Subtitle ≤ 30, Keywords ≤ 100, Description ≤ 4000, What's New ≤ 4000
  - Android: Title ≤ 30, Short ≤ 80, Full ≤ 4000

- [ ] No keyword duplication across indexed fields (iOS)
  - Keywords field does NOT contain words from Name or Subtitle
  - Example: Name "Meditation Sleep", Subtitle "Better", Keywords should not contain "meditation", "sleep", or "better"

- [ ] Keywords field properly formatted (commas, no spaces)
  - Format: "word1,word2,word3" (no spaces after commas)
  - Verified: [YES/NO]

- [ ] Descriptions read naturally with keywords integrated
  - Keywords appear 3-5 times naturally (not stuffed)
  - Readability score: [check by reading]
  - Example sentences flow naturally: [YES/NO]

- [ ] No spelling or grammar errors in any locale
  - English: [check]
  - German: [check]
  - Japanese: [check]
  - Verified: [YES/NO]

- [ ] Cross-field keyword combinations produce intended search queries (iOS)
  - Example: Name "Meditation" + Keyword "sleep" = searchable for "meditation sleep"
  - Verified: [check each primary keyword]

- [ ] Visual asset recommendations are specific and actionable
  - [Check if applicable — depends on whether visual assets were part of plan]

- [ ] Localized metadata is genuinely localized (not just translated)
  - German keywords are German-specific (not English translated): [check]
  - Japanese keywords are market-aware: [check]
  - Verified: [YES/NO]

- [ ] No sensitive or brand-risky terms introduced
  - Verified: [YES/NO]

- [ ] **No prohibited keywords** — re-scan all fields for banned terms
  - iOS banned terms: [none found]
  - Android banned terms: [none found]
  - Verified: [YES/NO]

- [ ] **No competitor trademarks** — verify no competitor brand names leaked into any metadata field
  - Verified: [YES/NO]

- [ ] **No unverifiable claims** — no superlatives without evidence
  - Verified: [YES/NO]

- [ ] **No platform references** — no "Android"/"Google Play" in iOS metadata or vice versa
  - iOS metadata: no Android references [YES/NO]
  - Android metadata: no iOS references [YES/NO]

- [ ] **No formatting violations** — no emojis, ALL CAPS (unless brand name), or special characters in titles
  - Verified: [YES/NO]

- [ ] **Accurate feature descriptions** — every claimed feature exists in the app
  - "500+ guided meditations" — does the app have 500+? [check]
  - "Sleep sounds" — feature exists? [check]
  - All claims verified: [YES/NO]

Read the full file on GitHub · 471 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.

  1. 6d ago First seen · 471 lines · 0 tokens per session scan A 0d57bfafbd8c

Subscribe to this mod's changes

reviewer is an agent published in the GitHub repository luongnv89/skills (123 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,775 tokens. 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.