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 moasq/ios-dev-agent --skill asc-aso-auditgit clone --depth 1 https://github.com/moasq/ios-dev-agentWrote 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/moasq/ios-dev-agent/asc-aso-audit)<a href="https://agentmods.dev/skills/moasq/ios-dev-agent/asc-aso-audit"><img src="https://agentmods.dev/badge/skills/moasq/ios-dev-agent/asc-aso-audit.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.02247 |
| Opus 5 | $0.00023 | $0.01123 |
| Sonnet 5 | $0.00009 | $0.00449 |
| Haiku 4.5 | $0.00005 | $0.00225 |
Grade A, and why
asc-aso-audit 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 8d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
asc ASO audit
Run a two-phase ASO audit: offline checks against local metadata files, then keyword gap analysis via Astro MCP.
Preconditions
- Metadata pulled locally into canonical files via
asc metadata pull --app "APP_ID" --version "1.2.3" --dir "./metadata". - If metadata came from
asc migrate exportorasc localizations download, normalize it into the canonical./metadatalayout before running this skill. - For Astro gap analysis: app tracked in Astro MCP (optional — offline checks run without it).
Before You Start
- Read
references/aso_rules.mdto understand the rules each check enforces. - Identify the latest version directory under
metadata/version/(highest semantic version number). Use this for all version-level fields. - The primary locale is
en-USunless the user specifies otherwise.
Metadata File Paths
- App-info fields (
subtitle):metadata/app-info/{locale}.json - Version fields (
keywords,description,whatsNew):metadata/version/{latest-version}/{locale}.json - App name: May not be present in exported metadata. If
nameis missing from the app-info JSON, fetch it viaasc apps info listor ask the user. Do not flag it as a missing-field error.
Phase 1: Offline Checks
Run these 5 checks against the local metadata directory. No network calls required.
1. Keyword Waste
Tokenize the subtitle field (and name if available). Flag any token that also appears in the keywords field — it is already indexed and wastes keyword budget.
Severity: ⚠️ Warning
Example: "quran" appears in subtitle AND keywords — remove from keywords to free 6 characters
How to check:
- Read
metadata/app-info/{locale}.jsonforsubtitle(andnameif present) - Read
metadata/version/{latest-version}/{locale}.jsonforkeywords - Tokenize subtitle (+ name):
- Latin/Cyrillic scripts: split by whitespace, strip leading/trailing punctuation, lowercase
- Chinese/Japanese/Korean: split by
、，,or iterate characters — each character or character-group is a token. Whitespace tokenization does not work for CJK. - Arabic: split by whitespace, then also generate prefix-stripped variants (remove ال prefix) since Apple likely normalizes definite articles. For example, "القرآن" in subtitle should flag both "القرآن" and "قرآن" in keywords.
- Split keywords by comma, trim whitespace, lowercase
- Report intersection (including fuzzy matches from prefix stripping)
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.
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.
- 8d ago First seen · 205 lines · 47 tokens per session scan A 3b5e92514c8f
asc-aso-audit is a skill published in the GitHub repository moasq/ios-dev-agent (4 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 2,247 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 2026-08-31.
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