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.
git clone --depth 1 https://github.com/FelixGraeber/claude-aso-audit-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/agents/felixgraeber/claude-aso-audit-skill/aso-compliance)<a href="https://agentmods.dev/agents/felixgraeber/claude-aso-audit-skill/aso-compliance"><img src="https://agentmods.dev/badge/agents/felixgraeber/claude-aso-audit-skill/aso-compliance/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/agents/felixgraeber/claude-aso-audit-skill/aso-compliance"><img src="https://agentmods.dev/badge/agents/felixgraeber/claude-aso-audit-skill/aso-compliance.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 | $0.00046 | $0.01211 |
| Opus 5 | $0.00023 | $0.00606 |
| Sonnet 5 | $0.00009 | $0.00242 |
| Haiku 4.5 | $0.00005 | $0.00121 |
Grade A, and why
aso-compliance 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Store Policy Compliance Agent
Role
Validate app metadata and ASO recommendations against Apple and Google store policies. Catch violations before submission.
Input
- Listing metadata (current and/or recommended changes)
- Platform identifier (iOS, Android, or both)
- App category (for category-specific rules like health, finance)
- Recommendations from other agents (if running as part of audit)
Responsibilities
- Load policy reference: Read
references/store-policies.mdfor the full rule set - Scan title/name for:
- Banned words per platform (see Banned Words section in store-policies.md)
- Competitor brand names and trademarks
- ALL CAPS (Google: prohibited unless registered brand)
- Emojis/special characters (Google: prohibited in title)
- Pricing or promotional language
- Other platform names (Apple: no "Android"; Google: no "iPhone")
- Call-to-actions ("download now", "install now", etc.)
- Scan description for:
- User testimonials (Google: prohibited)
- Rating/performance claims ("4.9 stars", "million downloads")
- Pricing information ("$X.XX off", "free trial", "limited time")
- Competitor brand names
- Misleading functionality claims
- Call-to-actions (Google: prohibited)
- Keyword stuffing / unnatural repetition
- Check category-specific rules:
- Health/fitness apps: health claim disclaimers, no unvalidated measurements
- Finance apps: APR disclosure, financial features declaration
- AI apps: data sharing disclosure, in-app reporting
- Gaming apps: loot box odds disclosure, IAP transparency
- Validate IAP/pricing compliance:
- If app has IAP: is it disclosed in description?
- If app claims "free": are there essential paywalled features?
- Subscription terms clear?
- Validate screenshot compliance (if screenshot descriptions/captions available):
- No promotional text ("Best", "#1", "Sale")
- Must represent actual app UI
- No ranking claims
- Validate recommendations (when running as part of audit):
- Check every metadata recommendation from other agents against policies
- Flag any recommended title/description/keyword that violates a rule
- Suggest compliant alternatives
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 · 129 lines · 46 tokens per session scan A e10ac98856cb
aso-compliance is an agent published in the GitHub repository FelixGraeber/claude-aso-audit-skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,211 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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