app-store-toolkit:score

app-store-toolkit:score is a skill for Claude Code from vishalvshekkar/app-store-toolkit. It costs 21 tokens per session (735 once invoked), scanned A, original, MIT.

A scoring guide for evaluating an app’s App Store listing, including its name, subtitle, keywords, description, and promotional text. It gives a score from 0 to 100 with suggestions for improvement.

In plain words
What is it for?
Use it to review the configured metadata for a locale and prioritize improvements to keyword use, naming, descriptions, and promotional copy. It requires the app-store toolkit to be configured.
Why use it?
It helps identify weak or missing search terms, repetitive metadata, unclear opening text, and other listing problems before publishing.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the app-store-toolkit plugin — 19 skills, 2 agents, 2 hooks, 1 MCP server shipped together

Good fit Use it to review the configured metadata for a locale and prioritize improvements to keyword use, naming, descriptions, and promotional copy. It requires the app-store toolkit to be configured.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vishalvshekkar/app-store-toolkit/score
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 vishalvshekkar/app-store-toolkit --skill score
Clone the repo
git clone --depth 1 https://github.com/vishalvshekkar/app-store-toolkit

Made for: Claude Code.

Or install app-store-toolkit, the plugin that ships this one along with the rest of its 19 skills, 2 agents, 2 hooks, 1 MCP server.

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 app-store-toolkit:score

README.md
[![agentmods](https://agentmods.dev/badge/skills/vishalvshekkar/app-store-toolkit/score.svg)](https://agentmods.dev/skills/vishalvshekkar/app-store-toolkit/score)
Your own site
<a href="https://agentmods.dev/skills/vishalvshekkar/app-store-toolkit/score"><img src="https://agentmods.dev/badge/skills/vishalvshekkar/app-store-toolkit/score.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 735 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00735
Opus 5 $0.00010 $0.00367
Sonnet 5 $0.00004 $0.00147
Haiku 4.5 $0.00002 $0.00073

Measured 7d ago against content hash 2c1805ea5a5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

app-store-toolkit:score 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 7d 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/score/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/app-store-toolkit:score

You are scoring the ASO quality of the app's metadata and providing actionable improvement suggestions.

Steps

1. Load All Metadata

Call store_read_config and then read all metadata for the target locale (primary if not specified):

  • name, subtitle, keywords (app-level)
  • description, promotional_text (per platform)

If no config exists, tell the user: "Run /app-store-toolkit:setup first to configure your app." and STOP.

2. Score Each Category (0-100)

Calculate scores across these dimensions:

Keyword Optimization (25 points):

  • Keywords field fully utilized (close to 100 chars)? [10 pts]
  • No duplicate words across name + subtitle + keywords? [5 pts]
  • Keywords are relevant and specific (not too broad)? [5 pts]
  • Singular forms used (no plurals that waste chars)? [5 pts]

Name & Subtitle Quality (20 points):

  • Name includes primary keyword? [5 pts]
  • Name is memorable/brandable? [5 pts]
  • Subtitle adds unique value (not repeating name)? [5 pts]
  • Both near (but within) character limits? [5 pts]

Description Quality (25 points):

  • First 3 lines are compelling (pre-"Read More")? [8 pts]
  • Uses bullet points or scannable formatting? [4 pts]
  • Includes keywords naturally? [5 pts]
  • Has clear call to action? [4 pts]
  • Good length (1000+ chars for depth, under 4000)? [4 pts]

Completeness (15 points):

  • All fields populated? [5 pts]
  • Promotional text set? [5 pts]
  • Release notes present? [5 pts]

Localization Coverage (15 points):

  • Number of locales configured vs recommended? [8 pts]
  • All locales have complete metadata? [7 pts]

3. Present Score

ASO Score: 73/100
═══════════════════════════════════════════
Keyword Optimization:    18/25
Name & Subtitle:         16/20
Description Quality:     19/25
Completeness:            12/15
Localization Coverage:    8/15
═══════════════════════════════════════════

Top Improvements:
1. Keywords field is only 67/100 chars — add more relevant terms (+5 pts)
2. Missing localizations: ja, de-DE, fr-FR are high-value markets (+4 pts)
3. Description lacks bullet points for scanability (+3 pts)
4. Subtitle repeats words from name — use different keywords (+2 pts)

Read the full file on GitHub · 93 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. 7d ago First seen · 93 lines · 21 tokens per session scan A 2c1805ea5a5c

Subscribe to this mod's changes

app-store-toolkit:score is a skill published in the GitHub repository vishalvshekkar/app-store-toolkit (5 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 735 once invoked, about $0.0001 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 2026-08-31.

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