An App Store Optimization (ASO) workflow for iOS and Android apps. ASO means improving an app's store listing so the right people can find it and choose to install it.

Use it for keyword research, rank tracking, competitor-gap analysis, store metadata, localized listings, screenshot planning, conversion experiments, and ASO audits.

It helps replace guesswork about app-store keywords, competitors, listing text, screenshots, and localization with product information and Applyra data.

applyra-aso — Skill for Codex by lucholabs/applyra-aso-skill

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 lucholabs/applyra-aso-skill --skill applyra-aso

Clone the repo

git clone --depth 1 https://github.com/lucholabs/applyra-aso-skill

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lucholabs/applyra-aso-skill/applyra-aso/github.svg)](https://agentmods.dev/skills/lucholabs/applyra-aso-skill/applyra-aso)

Your own site

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

Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,447 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	$0.00094	$0.05447
Opus 5.5	$0.00038	$0.02179
Sonnet 5.5	$0.00019	$0.01089
Haiku 4.5	$0.00009	$0.00545

Measured 4d ago against content hash 166007e431fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

applyra-aso 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 4d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/check_setup.sh, scripts/tests/test_skill_integrity.py, scripts/tests/test_validate_metadata.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

applyra-aso/SKILL.md · 445 lines

How it starts

The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Applyra ASO

Run evidence-led App Store Optimization for Apple App Store and Google Play. Use the repository or evidenced product sources as product truth, Applyra as the ASO data source, and deterministic validation before proposing or writing metadata.

Portability and path resolution

This skill is portable across Codex, Claude Code, and other Agent Skills-compatible clients. Resolve skill-root as the directory containing this SKILL.md. Every relative reference, script, and asset path in this document is relative to skill-root; never assume the skill is installed under a specific home directory or repository path.

Respond and write reports in the user's language unless the repository establishes another language. Preserve store-facing copy in each target locale.

Core outcome

Produce an ASO system that is:

True to the product — every claim maps to an implemented, available feature.
Market-specific — every keyword decision is tied to store, country, and locale.
Data-backed — Applyra metrics are quoted exactly and never invented.
Conversion-aware — metadata and creatives answer the searcher's intent.
Policy-safe — no competitor trademarks, false rankings, unsupported claims, or misleading assets.
Reproducible — full runs preserve evidence, decisions, validation, and follow-up measurements; focused answers retain only what their scope needs.
Non-destructive by default — research within budget; changes to tracked objects or chart notes and store publication require explicit authorization.
Data-minimized — raw private payloads stay local; public reports contain only normalized, redacted evidence.

Read before acting

Read the root AGENTS.md and any nested instructions that apply to files you may change.
Read the relevant reference files for the requested phase:
- Applyra usage: references/01-applyra-mcp.md
- Product truth: references/02-app-context.md
- Keyword research: references/03-keyword-research.md
- Competitors: references/04-competitors.md
- Apple metadata: references/05-apple-metadata.md
- Google Play metadata: references/06-google-play-metadata.md
- Localization: references/07-localization.md
- Creatives and experiments: references/08-creatives-conversion.md
- Measurement: references/09-measurement-experiments.md
- Repository changes: references/10-repository-integration.md
- Compliance: references/11-safety-compliance.md
- Required outputs: references/12-output-contract.md
- ASO Health and metadata simulation: references/13-aso-health-simulation.md
- Reviews and rating strategy: references/14-reviews-ratings.md
- Competitor monitoring: references/15-competitor-monitoring.md
- Icon audits and preview briefs: references/16-icons-previews.md
- Seasonal campaigns and In-App Events: references/17-seasonal-events.md
For local stdio setup, run <skill-root>/scripts/check_setup.sh when setup is uncertain. For hosted OAuth, check runtime tool availability instead; local Node/API-key checks do not apply.

Read the full file on GitHub · 445 lines

Files

What ships with it

41 files 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.

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.

4d ago Changed · +53 lines · -3 tokens per session 166007e431fd
2mo ago First seen · 392 lines · 97 tokens per session scan A 786b9ee618a5

Subscribe to this mod's changes

applyra-aso is a skill published in the GitHub repository lucholabs/applyra-aso-skill (3 stars, last pushed 4d ago), licensed MIT. It adds 94 tokens to every session and 5,447 once invoked, about $0.0004 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.

Marketing and SEO agent-skills app-store-optimization applyra aso codex

applyra-aso next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
applyra-asolucholabs/applyra-aso-skill	Skill	3	4d ago	MIT	A	94	Codex
aso-routerEronred/aso-skills	Skill	2.2k	1mo ago	MIT	A	0	Claude Code
app-rejection-recoveryEronred/aso-skills	Skill	2.2k	1mo ago	MIT	A	168	Claude Code
attribution-setupEronred/aso-skills	Skill	2.2k	1mo ago	MIT	A	201	Claude Code
category-positioningEronred/aso-skills	Skill	2.2k	1mo ago	MIT	A	156	Claude Code
referral-programEronred/aso-skills	Skill	2.2k	1mo ago	MIT	A	159	Claude Code
web-to-app-funnelEronred/aso-skills	Skill	2.2k	1mo ago	MIT	A	183	Claude Code