Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add carta/plugins/plugin install carta-investorsWrote 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/carta/plugins/carta-brand-extraction)<a href="https://agentmods.dev/skills/carta/plugins/carta-brand-extraction"><img src="https://agentmods.dev/badge/skills/carta/plugins/carta-brand-extraction.svg" alt="Measured on agentmods" 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 | $0.00115 | $0.03669 |
| Opus 5 | $0.00057 | $0.01835 |
| Sonnet 5 | $0.00023 | $0.00734 |
| Haiku 4.5 | $0.00012 | $0.00367 |
Grade A, and why
carta-brand-extraction 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 6d 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 — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Brand Board
Overview
This skill generates a brand board — a single-page visual reference sheet capturing a company's visual identity — from their website URL and any additional assets the user provides.
A brand board includes:
- Color palette — primary, secondary, accent, and neutral colors with hex codes
- Typography — font families, weights, and size scale with specimen text
- Logo — extracted from the website, shown on light and dark backgrounds
- Imagery & mood — hero images and photography style
- Design tokens — border radius, shadows, spacing patterns, CSS custom properties
The skill works in two phases: extraction (automated analysis of the website) and composition (building the brand board artifact with Claude's design judgment).
When to Use
Fire this skill when the user asks to:
- Build, create, or generate a brand board from a website URL
- Extract a company's visual identity / brand elements from their site
- Analyze a firm's website for colors, fonts, and design patterns
- Create brand guidelines from a URL
- Produce a "look and feel" reference from a website
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 298 lines · 115 tokens per session scan A f868f82ad5f6
carta-brand-extraction is a skill published in the GitHub repository carta/plugins (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 115 tokens to every session and 3,669 once invoked, about $0.0006 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 2026-08-30.
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