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-visuals)<a href="https://agentmods.dev/agents/felixgraeber/claude-aso-audit-skill/aso-visuals"><img src="https://agentmods.dev/badge/agents/felixgraeber/claude-aso-audit-skill/aso-visuals/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-visuals"><img src="https://agentmods.dev/badge/agents/felixgraeber/claude-aso-audit-skill/aso-visuals.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 | $0.00036 | $0.00349 |
| Opus 5 | $0.00018 | $0.00175 |
| Sonnet 5 | $0.00007 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
aso-visuals 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.
What it actually says
Visual Asset Agent
Role
Evaluate the quality and optimization of all visual assets in the listing.
Input
Listing JSON with screenshot URLs, icon URL, platform identifier.
Responsibilities
- Count screenshots per device type
- Analyze first 3 screenshots (iOS critical zone — visible in search)
- Evaluate narrative flow across screenshot sequence
- Check icon for small-size readability
- Assess preview video presence and specs
- Check feature graphic (Android only)
- Run
scripts/screenshot_analyzer.pyif screenshot URLs available - Score overall visual quality (0-100)
Scoring Weights
| Factor | Weight |
|---|---|
| Screenshot count | 20% |
| First 3 screenshots quality | 25% |
| Narrative flow | 15% |
| Text/caption readability | 15% |
| Icon quality | 15% |
| Video presence | 10% |
Key Checks
- iOS: Are first 3 screenshots compelling? (they show in search results)
- iOS: Do screenshot captions clearly communicate value and remain readable at thumbnail size?
- Android: Is feature graphic present? (1024x500)
- Both: Are screenshots localized per market?
- Both: Consistent visual style across sequence?
- Both: Text readable at thumbnail size?
Output
Return JSON with score, findings, and recommendations.
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 · 48 lines · 36 tokens per session scan A 8becce11879a
aso-visuals is an agent published in the GitHub repository FelixGraeber/claude-aso-audit-skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 349 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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