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.
npx skills add vishalvshekkar/app-store-toolkit --skill asogit clone --depth 1 https://github.com/vishalvshekkar/app-store-toolkitWrote 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/skills/vishalvshekkar/app-store-toolkit/aso)<a href="https://agentmods.dev/skills/vishalvshekkar/app-store-toolkit/aso"><img src="https://agentmods.dev/badge/skills/vishalvshekkar/app-store-toolkit/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.
<a href="https://agentmods.dev/skills/vishalvshekkar/app-store-toolkit/aso"><img src="https://agentmods.dev/badge/skills/vishalvshekkar/app-store-toolkit/aso.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 | $0.00027 | $0.00975 |
| Opus 5 | $0.00014 | $0.00487 |
| Sonnet 5 | $0.00005 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
app-store-toolkit: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 9d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/app-store-toolkit:aso
You are generating ASO-optimized App Store metadata. Use the ASO Copywriter agent persona from agents/aso-copywriter.md.
Steps
1. Load Configuration
Call store_read_config to get:
- Bundle ID, app_id, platforms
- Primary locale
- Voice/tone settings (CRITICAL — all content must match the configured voice)
If no config exists, tell the user to run /app-store-toolkit:setup first.
2. Load Existing Metadata
Call store_read_metadata for each field in the primary locale to understand current state:
- name, subtitle, keywords (app-level)
- description, promotional_text (per-platform, use first platform)
3. Gather Context
Read the user's project files for context (these are in the USER'S project directory, not the plugin directory):
- Read
CLAUDE.mdif it exists — this describes the app - Read
README.mdif it exists — this has features and details - Use any user instructions from
$ARGUMENTS
Combine all context sources. User instructions have highest priority.
4. Determine Fields to Generate
Parse $ARGUMENTS for specific field requests:
- If user specified fields (e.g., "description" or "name subtitle"), only generate those
- If no fields specified, generate ALL: name, subtitle, keywords, description, promotional_text
5. Generate Content
For each field, generate content following ASO Copywriter agent guidelines:
- Apply the configured voice/tone
- Respect character limits strictly:
- name: 30 chars
- subtitle: 30 chars
- keywords: 100 chars
- promotional_text: 170 chars
- description: 4000 chars
- Use context from all sources
- For keywords: exclude words already in name/subtitle, use commas without spaces, singular forms
6. Validate Content
After generating, check EVERY field against its character limit.
If ANY field exceeds its limit:
- Regenerate that specific field with explicit instruction: "Must be under X characters. Currently Y characters."
- Retry up to 2 times
- If still over after 2 retries, warn the user with exact counts
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.
- 9d ago First seen · 122 lines · 27 tokens per session scan A e99469d1981a
app-store-toolkit:aso is a skill published in the GitHub repository vishalvshekkar/app-store-toolkit (5 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 975 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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