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aso-audit阿苏审计

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aso-audit(阿苏审计)
来源仓库:https://github.com/coreyhaines31/marketingskills
仓库路径:skills/aso-audit
安装命令:
npx skills add https://github.com/coreyhaines31/marketingskills --skill aso-audit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/coreyhaines31/marketingskills --skill aso-audit

简介

用于辅助安全审计、权限检查和常见漏洞排查。

  • 适合让 Agent 梳理敏感配置、检查依赖风险或分析鉴权逻辑。
  • 使用时不能把工具输出直接当最终结论,需先确认最小权限和操作边界。
  • 涉及密钥、令牌或生产系统时应脱敏处理并避免直接暴露内容。
  • 必须在提交或部署前运行,发现 secrets 应立即停止并警告用户。

SKILL.md

ASO Audit

Analyze App Store and Google Play listings against ASO best practices. Fetches live listing data, scores metadata, visuals, and ratings, then produces a prioritized action plan.

When to Use

  • User shares an App Store or Google Play URL
  • User asks to audit or optimize an app listing
  • User wants to compare their app against competitors
  • User asks about app store ranking, visibility, or download conversion

Before Auditing

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Phase 1 — Identify Store & Fetch

Detect store type from URL

Apple:  apps.apple.com/{country}/app/{name}/id{digits}
Google: play.google.com/store/apps/details?id={package}

If the user gives an app name instead of a URL, search the web for: site:apps.apple.com "{app name}" or site:play.google.com "{app name}"

Fetch the listing

Use WebFetch to retrieve the listing page. Extract every available field:

Apple App Store fields:

  • App name (title) — 30 char limit
  • Subtitle — 30 char limit
  • Description (long) — not indexed for search, but matters for conversion
  • Promotional text — 170 chars, updatable without new release
  • Category (primary + secondary)
  • Screenshots (count, order, caption text)
  • Preview video (presence, duration)
  • Rating (average + count)
  • Recent reviews (visible ones)
  • Price / in-app purchases
  • Developer name
  • Last updated date
  • Version history notes
  • Age rating
  • Size
  • Languages / localizations listed
  • In-app events (if any visible)

Google Play fields:

  • App name (title) — 30 char limit
  • Short description — 80 char limit
  • Full description — 4,000 char limit, IS indexed for search
  • Category + tags
  • Feature graphic (presence)
  • Screenshots (count, order)
  • Preview video (presence)
  • Rating (average + count)
  • Recent reviews (visible ones)
  • Price / in-app purchases
  • Developer name
  • Last updated date
  • What's new text
  • Downloads range
  • Content rating
  • Data safety section
  • Languages listed

If WebFetch returns incomplete data (stores render client-side), note gaps and work with what's available. Ask the user to paste missing fields if critical.

Visual asset assessment

WebFetch cannot extract screenshot images or caption text. Take a screenshot of the listing page to get visual data:

  1. Navigate to the listing URL and capture a full-page screenshot
  2. Assess the screenshot for: icon quality, screenshot count, caption text, messaging quality, preview video presence, feature graphic (Google Play)
  3. If browser tools are unavailable, ask the user to share a screenshot of the listing page

Promotional text (Apple): This 170-char field appears above the description but is often indistinguishable from it in scraped HTML. If you cannot confirm its presence, note this and recommend the user check App Store Connect.


Phase 1.5 — Assess Brand Maturity

Before scoring, classify the app into one of three tiers. This determines how you interpret "textbook ASO" deviations — a deliberate brand choice by a household name is not the same as a missed opportunity by an unknown app.

Tier definitions

TierSignalsExamples
DominantHousehold name, 1M+ ratings, top-10 in category, near-universal brand recognition. Users search by brand name, not generic keywords.Instagram, Uber, Spotify, WhatsApp, Netflix
EstablishedWell-known in their category, 100K+ ratings, strong organic installs, recognized brand but not universally known.Strava, Notion, Duolingo, Cash App, Calm
ChallengerBuilding awareness, <100K ratings, needs discovery through keywords and ASO tactics. Most apps fall here.Your app, most indie/startup apps

How tier affects scoring

Dominant apps get adjusted scoring in these areas:

  • Title: Brand-only or brand-first titles are valid (score 8+ if brand is the keyword). These apps don't need generic keyword discovery.
  • Description: Score purely on conversion quality, not keyword presence. If the app is a household name, a well-crafted brand description beats a keyword-stuffed one.
  • Visual Assets: Lifestyle/brand photography instead of UI demos is a legitimate conversion strategy. No video is acceptable if the product is hard to demo in 30s or brand awareness is near-universal.
  • What's New: Generic release notes at weekly+ cadence are acceptable (score 8+). At scale, detailed changelogs have minimal ROI and risk backlash.
  • In-app events: Missing events for utility apps with massive install bases (Uber, WhatsApp) is not a penalty. These apps don't need discovery help.
  • Localization: Score relative to actual market, not absolute count. A US-only fintech with 2 languages (English + Spanish) is appropriately localized.

Established apps get partial adjustment:

  • Brand-first titles are fine but should still include 1-2 keywords
  • Strategic description choices get benefit of the doubt
  • Other dimensions scored normally

Challenger apps are scored strictly against textbook ASO best practices — every character, screenshot, and keyword matters.

Key principle: Before docking points, ask: "Is this a mistake or a deliberate choice by a team that has data I don't?" If the app has 1M+ ratings and a dedicated ASO team, assume their choices are data-informed unless clearly wrong.


Phase 2 — Score Each Dimension

Score each dimension 0-10 using the criteria in references/scoring-criteria.md. Apply the brand maturity tier adjustments from Phase 1.5.

Reference files for platform specs and benchmarks:

  • references/apple-specs.md — Official Apple character limits, screenshot/video specs, CPP/PPO rules, rejection triggers
  • references/google-play-specs.md — Official Google Play limits, screenshot specs, Android Vitals thresholds, policies
  • references/benchmarks.md — Conversion data, rating impact, video lift, screenshot behavior, CPP/event benchmarks

Dimensions and Weights

#DimensionWeightWhat It Covers
1Title & Subtitle20%Character usage, keyword presence, clarity, brand + keyword balance
2Description15%First 3 lines, keyword density (Google), CTA, structure, promotional text
3Visual Assets25%Screenshot count/quality/messaging, video, icon, feature graphic
4Ratings & Reviews20%Average rating, volume, recency, developer responses
5Metadata & Freshness10%Category choice, update recency, localization count, data safety
6Conversion Signals10%Price positioning, IAP transparency, social proof, download range

Final score = weighted sum, out of 100.

Score interpretation

ScoreGradeMeaning
85-100AWell-optimized; focus on A/B testing and iteration
70-84BGood foundation; clear opportunities to improve
50-69CSignificant gaps; prioritized fixes will have high impact
30-49DMajor optimization needed across multiple dimensions
0-29FListing needs a complete overhaul

Phase 3 — Competitor Comparison (Optional)

If the user provides competitor URLs or asks for comparison:

  1. Fetch 2-3 top competitors in the same category
  2. Run the same scoring on each
  3. Build a comparison table highlighting where the user's app is weaker/stronger
  4. Identify keyword gaps — terms competitors rank for that the user's app doesn't target

If no competitors are specified, suggest the user provide 2-3 or offer to search for top apps in their category.


Phase 4 — Generate Report

Use the template in references/report-template.md to structure the output.

The report must include:

  1. Score card — table with all 6 dimensions, scores, and grade
  2. Top 3 quick wins — changes that take <1 hour and have highest impact
  3. Detailed findings — per-dimension breakdown with specific issues and fixes
  4. Keyword suggestions — based on title/description analysis and competitor gaps
  5. Visual asset recommendations — specific screenshot/video improvements
  6. Priority action plan — ordered list of changes by impact vs effort

Report rules

  • Every recommendation must be specific and actionable ("Change subtitle from X to Y" not "Improve subtitle")
  • Include character counts for all text recommendations
  • Flag platform-specific differences (Apple vs Google) when relevant
  • Note what CANNOT be assessed without paid tools (search volume, exact rankings)
  • When suggesting keyword changes, explain WHY each keyword matters

Platform-Specific Rules

Apple App Store — Key Facts

  • Title (30 chars) + Subtitle (30 chars) + Keyword field (100 bytes, hidden) = indexed text
  • Keywords field is bytes not chars — Arabic/CJK use 2-3 bytes per char
  • Long description is NOT indexed for search — optimize for conversion only
  • Promotional text (170 chars) does NOT affect search (Apple confirmed)
  • Never repeat words across title/subtitle/keyword field (Apple indexes each word once)
  • Keyword field: commas, no spaces ("photo,editor,filter" not "photo, editor, filter")
  • Screenshots: up to 10 per device. First 3 visible in search — 90% never scroll past 3rd
  • Screenshot captions indexed since June 2025 (AI extraction)
  • In-app events: max 10 published at once, max 31 days each. Indexed and appear in search
  • Custom Product Pages (up to 70) in organic search since July 2025. +5.9% avg conversion lift
  • App preview video: up to 3, 15-30s each. Autoplays muted — +20-40% conversion lift
  • SKStoreReviewController: max 3 prompts per 365 days
  • Apple has human editorial curation — quality and design matter more
  • See references/apple-specs.md for full specs, dimensions, and rejection triggers

Google Play — Key Facts

  • Title (30 chars) + Short description (80 chars) + Full description (4,000 chars) = indexed text
  • Full description IS indexed — target 2-3% keyword density naturally
  • No hidden keyword field — all keywords must be in visible text
  • Google NLP/semantic understanding — keyword stuffing detected and penalized
  • Prohibited in title: emojis, ALL CAPS, "best"/"#1"/"free", CTAs (enforced since 2021)
  • Screenshots: min 2, max 8 per device (not 10 like Apple)
  • Feature graphic (1024x500, exact) required for featured placements
  • Video does NOT autoplay — only ~6% of users tap play (low ROI vs iOS)
  • Android Vitals directly affect ranking: crash >1.09% or ANR >0.47% = reduced visibility
  • Promotional Content: submit 14 days early for featuring. Apps see 2x explore acquisitions
  • Custom Store Listings: up to 50 (can target churned users, specific countries, ad campaigns)
  • Store Listing Experiments: test up to 3 variants, run 7+ days, 1 experiment at a time
  • See references/google-play-specs.md for full specs and policy details

What Apple Indexes vs What Google Indexes

FieldApple Indexed?Google Indexed?
TitleYesYes (strongest signal)
Subtitle / Short descYesYes
Keyword fieldYes (hidden)Does not exist
Long descriptionNoYes (heavily)
Screenshot captionsYes (since 2025)No
In-app eventsYesN/A (LiveOps instead)
Developer nameNoPartial
IAP namesYesYes

Common Issues Checklist

Flag these if found. Items marked *(tier-dependent)* should be evaluated against the app's brand maturity tier — they may be deliberate choices for Dominant apps.

Always flag (all tiers):

  • Rating below 4.0
  • Last update > 3 months ago
  • Google Play description has no keyword strategy (under 1% density)
  • Google Play missing feature graphic
  • Apple keyword field likely has repeated words (inferred from title+subtitle)
  • Category mismatch — app would face less competition in a different category
  • Fewer than 5 screenshots

Flag for Challenger/Established only *(not mistakes for Dominant apps):*

  • Title wastes characters on brand name only (no keywords) *(Dominant: brand IS the keyword)*
  • Subtitle/short description duplicates title keywords
  • Description first 3 lines are generic *(Dominant: may be brand-voice choice)*
  • No preview video *(Dominant: may be rational if product is hard to demo)*
  • Screenshots are just UI dumps with no messaging/captions *(Dominant: lifestyle/brand shots may convert better)*
  • Only 1-2 localizations *(score relative to actual market, not absolute count)*
  • No in-app events or promotional content *(Dominant utility apps may not need discovery help)*

Flag for all tiers but note context:

  • No developer responses to negative reviews *(note volume — responding at 10M+ reviews is a different challenge than at 1K)*
  • Generic "What's New" text *(acceptable at weekly+ release cadence for Established/Dominant)*

Task-Specific Questions

  1. What is the App Store or Google Play URL?
  2. Is this your app or a competitor's?
  3. What category does the app compete in?
  4. Do you have competitor URLs to compare against?
  5. Are you focused on search visibility, conversion rate, or both?
  6. Do you have access to App Store Connect or Google Play Console data?

Related Skills

  • page-cro: For optimizing the conversion of web-based landing pages that drive app installs
  • ad-creative: For creating App Store and Google Play ad creatives
  • analytics-tracking: For setting up install attribution and in-app event tracking
  • customer-research: For understanding user needs and language to inform listing copy

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展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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Codex

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