An App Store optimization service for iPhone and iPad apps. App Store optimization means researching search terms, competitors, and store-page wording to help an app be found in Apple’s App Store.

Use it to research keywords by country or storefront, track rankings, compare competitors, review app performance, and draft titles, subtitles, and keyword fields.

It replaces guesswork with data about search demand, ranking position, competition, and gaps in an app’s keywords.

aso-atlas — Skill for Claude Code and Codex by asoatlas/mcp

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 asoatlas/mcp --skill aso-atlas

Clone the repo

git clone --depth 1 https://github.com/asoatlas/mcp

Made for: Claude Code, Codex.

Or install aso-atlas, the plugin that ships this one along with the rest of its 1 skill, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/asoatlas/mcp/aso-atlas/github.svg)](https://agentmods.dev/skills/asoatlas/mcp/aso-atlas)

Your own site

<a href="https://agentmods.dev/skills/asoatlas/mcp/aso-atlas"><img src="https://agentmods.dev/badge/skills/asoatlas/mcp/aso-atlas/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/skills/asoatlas/mcp/aso-atlas"><img src="https://agentmods.dev/badge/skills/asoatlas/mcp/aso-atlas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 906 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	$0.00085	$0.00906
Opus 5.5	$0.00034	$0.00362
Sonnet 5.5	$0.00017	$0.00181
Haiku 4.5	$0.00009	$0.00091

Measured 25d ago against content hash d5319d3fbe8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aso-atlas 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 25d 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-atlas/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ASO Atlas

ASO Atlas is an App Store Optimization tool for App Store and Google Play apps. Its MCP server exposes the user's own account: tracked apps, keywords per storefront with position, popularity and difficulty, competitors, keyword lists, a metadata optimizer and (when connected) private App Store Connect performance.

Start here

list_tracked_apps first. Every app-scoped tool takes the app_id it returns, not the App Store id.
get_dashboard for a one-screen status across apps; get_app for one app in depth (keywords, ranks, competitors, keyword gap).
research_keywords for terms the user is considering (up to 50 per call, one storefront). keyword_suggestions expands a seed term with autocomplete ideas. app_ranking_keywords reverse-looks-up what any App Store app (by itunes_id) ranks for.

Reading the numbers

Popularity is a 0-100 index of App Store search demand for a term in that storefront. 60+ is a head term, 20-40 is a realistic long-tail target, and the useful opportunities usually sit in the 30-55 band.
popularity_source tells how the number was obtained: asa/dictionary is Apple-reported, estimate is a calibrated estimate that may be upgraded later, below_floor with a null popularity means demand exists but sits under the measurable threshold. Report that as "<10", never as missing data.
Difficulty is 0-100, lower is easier. It weighs how many top results carry the term in their title and how strong those apps are.
A keyword with pending: true has not been measured yet (research is queued). Say "not measured yet", then call again in a moment.
Storefronts are two-letter country codes (us, pl, de...). The same term can be tracked in several markets.
Google Play (platform: "android", apps identified by package name in store_id): Google publishes no search volume, so Play keywords carry an estimated demand band (Very low to Very high) and popularity is always null. Present the band, never a number.

Read the full file on GitHub · 40 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

agents/openai.yaml 253 B

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.

25d ago Changed · +1 lines · +1 tokens per session d5319d3fbe8f
1mo ago First seen · 39 lines · 84 tokens per session scan A 34190914a4d9

Subscribe to this mod's changes

aso-atlas is a skill published in the GitHub repository asoatlas/mcp (0 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 906 once invoked, about $0.0003 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 2026-08-31.

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