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 motomarks/motomarks-mcp --skill find-brand-logogit clone --depth 1 https://github.com/motomarks/motomarks-mcpWrote 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/motomarks/motomarks-mcp/find-brand-logo)<a href="https://agentmods.dev/skills/motomarks/motomarks-mcp/find-brand-logo"><img src="https://agentmods.dev/badge/skills/motomarks/motomarks-mcp/find-brand-logo/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/motomarks/motomarks-mcp/find-brand-logo"><img src="https://agentmods.dev/badge/skills/motomarks/motomarks-mcp/find-brand-logo.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 | $0.00056 | $0.00397 |
| Opus 5 | $0.00028 | $0.00198 |
| Sonnet 5 | $0.00011 | $0.00079 |
| Haiku 4.5 | $0.00006 | $0.00040 |
Grade A, and why
find-brand-logo 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.
What it actually says
Find and embed a Motomarks brand logo
Workflow
- Resolve the brand. Call
search_brandswith the user's term (name, company, or domain). If multiple results match, prefer exact brand-name matches, then ask the user only if genuinely ambiguous. - Pick the variant. Call
list_brand_assetsfor the chosen slug.fullfor general use,badgefor compact/square contexts (favicons, avatars, tables),wordmarkfor text-led placements (navbars, footers).- Prefer
webp; usepngwhen transparency compatibility matters;svgonly when the user needs a source file (no CDN URL for svg).
- Build the URL. Call
build_image_urlwith slug, type, format, size, aspect. Size guide:xs/smfor inline UI,mddefault,lg/xlfor heroes. - Embed. Produce the snippet for the user's stack (HTML
<img>, React, or Markdown) with descriptive alt text, e.g.alt="Toyota logo".
Rules
- Never place secret keys (
sk_...) in output; CDN URLs use the publishablepk_token, which is safe to embed. - Free-plan users must keep a visible attribution link to https://motomarks.io; mention this if
get_accountshowsattributionRequired: trueand unverified attribution. - Use
get_brandfor brand colors and palettes when styling around the logo.
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 · 22 lines · 56 tokens per session scan A d479f5ad4d9a
find-brand-logo is a skill published in the GitHub repository motomarks/motomarks-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 397 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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