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 SoraiaBarroso/miromiro-mcp --skill match-brandgit clone --depth 1 https://github.com/SoraiaBarroso/miromiro-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/soraiabarroso/miromiro-mcp/match-brand)<a href="https://agentmods.dev/skills/soraiabarroso/miromiro-mcp/match-brand"><img src="https://agentmods.dev/badge/skills/soraiabarroso/miromiro-mcp/match-brand/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/soraiabarroso/miromiro-mcp/match-brand"><img src="https://agentmods.dev/badge/skills/soraiabarroso/miromiro-mcp/match-brand.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 | $0.00062 | $0.01041 |
| Opus 5 | $0.00031 | $0.00521 |
| Sonnet 5 | $0.00012 | $0.00208 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
match-brand 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build in the style of a real site
Two tools cover this, and picking the right one matters more than it looks.
Which tool
extract_brand — the curated identity. Color roles already resolved to
primary / accent / background / text, each with a hex and a human-readable name,
plus dark/light theme detection, fonts split by role (primary/mono), logo, social image,
and a 0-1 confidence score for how much the site declared versus how much was inferred.
Reach for this when you are designing something new and need a small set of decisions you can act on. It is the right default for "make it feel like linear.app".
extract_design_tokens — the exhaustive system. Every color, font family, font size,
border radius, box shadow, line height and z-index, each with usage counts. Reach for this
when you need the full scale, not a summary: building a theme file, a spacing scale, or
matching an existing design system closely.
Do not call both by reflex. extract_brand for direction, extract_design_tokens for
completeness.
Getting paste-ready output
extract_design_tokens takes a format:
json(default) — structured, with usage counts, best when you are reasoning about itcss— a:root {}block of custom propertiestailwind— atailwind.configfragment
If the target project uses Tailwind or CSS variables, ask for that format directly instead of converting the JSON yourself. Fewer transcription errors.
Explaining the result, not just returning it
extract_brand returns confidence (0-1) alongside signals, which is the part worth
reading. confidence on its own is a number a user cannot act on — "confidence is 0.55"
tells them nothing. signals says what actually happened.
signals.primarySource is the field that matters. It names where colors.primary came
from, strongest signal first:
primarySource |
What it means | What to tell the user |
|---|---|---|
css-var |
The site declares its own --brand / --accent / --primary custom property |
These are the brand's real tokens, not a guess |
theme-color |
Taken from its <meta name="theme-color"> |
The site declared this color itself |
logo |
Sampled from vivid colors in the site's SVG logo | Derived from the logo, close but not declared |
usage |
Ranked by how often each color appears in the stylesheet | Inferred. Say so — do not present it as the official palette |
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 · 84 lines · 62 tokens per session scan A 7cb4fec9abdb
match-brand is a skill published in the GitHub repository SoraiaBarroso/miromiro-mcp (0 stars, last pushed 4d ago), licensed MIT. It adds 62 tokens to every session and 1,041 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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