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 Xopoko/build-swift-apps --skill appstore-aso-auditorgit clone --depth 1 https://github.com/Xopoko/build-swift-appsWrote 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/xopoko/build-swift-apps/appstore-aso-auditor)<a href="https://agentmods.dev/skills/xopoko/build-swift-apps/appstore-aso-auditor"><img src="https://agentmods.dev/badge/skills/xopoko/build-swift-apps/appstore-aso-auditor/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/xopoko/build-swift-apps/appstore-aso-auditor"><img src="https://agentmods.dev/badge/skills/xopoko/build-swift-apps/appstore-aso-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.00733 |
| Opus 5 | $0.00020 | $0.00367 |
| Sonnet 5 | $0.00008 | $0.00147 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
appstore-aso-auditor 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 12d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Store ASO Auditor
Audit the latest local metadata version first; Astro keyword gaps and Apple-generated tags are additive signals.
Preconditions
- Canonical metadata from
asc metadata pull --app "APP_ID" --version "1.2.3" --dir "./metadata". - Normalize
asc migrate exportorasc localizations downloadoutput before auditing. - Read
references/aso_rules.mdfor rule details. - Use highest semantic version under
metadata/version/. - Primary locale is
en-USunless the user specifies another.
Paths:
- App-info fields:
metadata/app-info/{locale}.json - Version fields:
metadata/version/{latest-version}/{locale}.json - App name may be absent; fetch with
asc apps info listor ask before flagging it.
Offline Checks
- Keyword waste: tokens in
subtitleornamealso present inkeywords. For Arabic also compare variants withoutال; for CJK split by punctuation/character groups. - Underused fields: keywords below 90/100 or subtitle below 20/30 chars.
- Missing fields: empty
subtitle,keywords,description,whatsNew; only flagnameif present and empty. - Bad keyword separators: spaces after commas, semicolons, or pipes.
- Cross-locale gaps: non-primary locale keywords identical to the primary locale.
- Description coverage: keywords absent from description as conversion evidence, not Apple indexing evidence. Ignore Latin keywords in non-Latin descriptions when they target separate search paths.
Optional app tags:
asc app-tags list --app "APP_ID" --output json
asc app-tags view --app "APP_ID" --id "TAG_ID" --output json
Use tags only as classification evidence. Do not promise metadata changes will immediately alter Apple-generated tags.
Astro Keyword Gaps
If Astro MCP is connected and the app is tracked:
- call
get_app_keywords; - add per-store tracking with
add_keywordsfor locales/territories before querying non-US stores; - run
extract_competitors_keywordsfor 3-5 competitor app IDs; - call
get_keyword_suggestionsandsearch_rankings; - diff suggestions against title, subtitle, and keywords;
- rank gaps by popularity and note source.
What ships with it
2 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.
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.
- 12d ago First seen · 82 lines · 40 tokens per session scan A 8ce99793f596
appstore-aso-auditor is a skill published in the GitHub repository Xopoko/build-swift-apps (45 stars, last pushed 14d ago), licensed MIT. It adds 40 tokens to every session and 733 once invoked, about $0.0002 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 2026-08-30.
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