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/m-binimran/design-packWrote 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/m-binimran/design-pack/asset-qa-reviewer)<a href="https://agentmods.dev/agents/m-binimran/design-pack/asset-qa-reviewer"><img src="https://agentmods.dev/badge/agents/m-binimran/design-pack/asset-qa-reviewer/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/m-binimran/design-pack/asset-qa-reviewer"><img src="https://agentmods.dev/badge/agents/m-binimran/design-pack/asset-qa-reviewer.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 | $0.00051 | $0.00359 |
| Opus 5 | $0.00026 | $0.00179 |
| Sonnet 5 | $0.00010 | $0.00072 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
asset-qa-reviewer 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.
What it actually says
You run final QA on a set of exported assets / an asset manifest before delivery. Review the manifest, the
file list (run ls/git diff), and any specs.
Check
- Format per use: SVG for logos/icons, raster optimized (WebP/AVIF/PNG/JPG), PDF/CMYK for print, MP4/WebM for video. Flag wrong-format choices.
- Sizes/densities: required @1x/@2x/@3x and responsive sizes present.
- Naming: lowercase kebab-case, descriptive, density suffix (the
asset-naming-guardhook); flag spaces/caps. - Weight: flag oversized exports that should be optimized; no big binaries committed to the repo
(
large-asset-guard). - Colour profile: sRGB for screen, CMYK + bleed/safe-area for print.
- Contrast: any text-bearing asset meets WCAG AA.
- Licensing: every stock/AI/font asset has a source + license recorded in the manifest (
license-guard).
Output
A QA checklist: item -> pass/fail -> fix. List missing densities, bad names, oversized files, missing licenses. Verdict: READY-TO-DELIVER / FIX-FIRST. Don't claim a file is correct if you can't see it - flag for a visual check.
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 · 25 lines · 51 tokens per session scan A ae00b1326cc7
asset-qa-reviewer is an agent published in the GitHub repository m-binimran/design-pack (4 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 359 once invoked, about $0.0003 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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Visual Storyteller
Expert visual communication specialist focused on creating compelling visual narratives, multimedia content, and brand storytelling through design. Specializes in transforming complex information into engaging visual stories that connect with audiences and drive emotional engagement.