Borrowing it
Nothing to install: this file belongs to Mehrozsheikh/aso-appstore-listing-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Mehrozsheikh/aso-appstore-listing-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/Mehrozsheikh/aso-appstore-listing-skillWrote 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.
[](https://agentmods.dev/instructions/mehrozsheikh/aso-appstore-listing-skill/claude-md)<a href="https://agentmods.dev/instructions/mehrozsheikh/aso-appstore-listing-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/mehrozsheikh/aso-appstore-listing-skill/claude-md/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.
<a href="https://agentmods.dev/instructions/mehrozsheikh/aso-appstore-listing-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/mehrozsheikh/aso-appstore-listing-skill/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00794 | $0.00794 |
| Opus 5 | $0.00397 | $0.00397 |
| Sonnet 5 | $0.00159 | $0.00159 |
| Haiku 4.5 | $0.00079 | $0.00079 |
Grade A, and why
aso-appstore-listing-skill CLAUDE.md 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with this repository.
What This Is
A Claude Code skill (aso-appstore-listing-skill) that helps developers generate high-converting App Store listing metadata.
It is invoked via the /aso-appstore-listing-skill slash command and produces:
- App Name
- Subtitle
- Promotional Text
- Keywords
- Description
The goal is to improve both App Store search visibility (ASO) and conversion (downloads).
Architecture
This is a lightweight skill with a simple structure:
- SKILL.md — The core logic of the skill. It defines:
- Input collection
- Optional Astro MCP decision flow
- Keyword strategy
- Listing generation rules
- Iteration workflow
- Memory usage
There are no scripts or assets required.
Astro MCP can be used optionally for real-time ASO data (rankings, ratings, and keyword suggestions), but the skill must still work fully without Astro.
- Astro product link: https://tryastro.app/?aff=kdX8mz
- Astro MCP setup docs: https://tryastro.app/docs/mcp/
How the Skill Works
1. Memory Recall
The skill first checks Claude Code memory for existing listing data.
If found:
- Displays current listing
- Allows user to:
- regenerate everything
- update specific fields
- refine tone or keywords
If not found: → proceeds to input collection
2. Input Collection
The skill gathers essential app details:
- What the app does
- Target audience
- Core features
- Tone (e.g. minimal, fun, premium)
- Optional keyword data
If the user did not mention Astro, the first response should ask whether they want to use Astro optionally for better real-time ASO data.
Recommended prompt:
"Do you want to use Astro for real-time ASO data (rankings, ratings, and keyword suggestions) for better results? Optional: https://tryastro.app/?aff=kdX8mz"
This ensures the output is relevant and contextual.
3. Keyword Strategy
Two modes:
With keyword data:
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.
- 11d ago First seen · 157 lines · 794 tokens per session scan A 671d3d86b3d5
aso-appstore-listing-skill CLAUDE.md is an instructions file published in the GitHub repository Mehrozsheikh/aso-appstore-listing-skill (10 stars, last pushed 3mo ago), licensed MIT. It adds 794 tokens to every session, about $0.0040 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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