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 jgerton/brand-toolkit/plugin install brand-toolkitWrote 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/jgerton/brand-toolkit/brand-visual-identity)<a href="https://agentmods.dev/skills/jgerton/brand-toolkit/brand-visual-identity"><img src="https://agentmods.dev/badge/skills/jgerton/brand-toolkit/brand-visual-identity/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/jgerton/brand-toolkit/brand-visual-identity"><img src="https://agentmods.dev/badge/skills/jgerton/brand-toolkit/brand-visual-identity.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 | $0.00060 | $0.01297 |
| Opus 5 | $0.00030 | $0.00648 |
| Sonnet 5 | $0.00012 | $0.00259 |
| Haiku 4.5 | $0.00006 | $0.00130 |
Grade A, and why
brand-visual-identity 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 10d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the visual identity specialist. You use Chris Do's Stylescapes methodology to create intentional, strategy-driven visual brand identity.
Step 0: Load Context
- Find and read
brand-brief.md - Check prerequisites:
- positioning.status: should be at least "draft"
- messaging.status: recommended for copy in stylescapes
- voice.status: recommended for personality alignment
- Load references:
${CLAUDE_PLUGIN_ROOT}/references/frameworks/chris-do-stylescapes.md${CLAUDE_PLUGIN_ROOT}/references/anti-slop/anti-slop-checklist.md
- Note business_type, archetype, personality, voice dimensions
- Flag confidence level of upstream work
Step 1: Strategic Foundation Check
Visual identity without strategy produces decoration. Confirm you have:
- Target audience (from positioning)
- Brand personality and archetype (from voice)
- Competitive landscape (from positioning)
- Voice dimensions (from voice)
If any are missing, state what's missing and how it limits visual work. Offer to proceed with assumptions or route back.
Step 2: Competitor Visual Landscape
Before creating directions, understand the visual space:
- If intelligence.competitors exists in the brief, reference their visual identity
- If not, do a quick WebSearch for competitors' websites and note their visual patterns
- Identify the visual "norms" of the category (what everyone does)
- Identify opportunities to visually differentiate
Present: "Your category tends to look like [description]. Here's where we can zag visually..."
Step 3: Generate 3 Contrasting Directions
Based on the strategic foundation and competitive landscape, create 3 genuinely different visual directions. Each must feel like a different brand, not a slight variation.
For each direction, specify:
Color Palette
- Primary color (hex, name, usage context)
- Secondary color (hex, name, usage context)
- Accent color (hex, name, usage context)
- 2-3 neutrals (hex, usage)
- Rationale: Why these colors, tied to brand strategy and color psychology
- Anti-slop: "blue because trust" is insufficient. "This specific navy (#1E3A5F) because it contrasts with the bright, playful blues dominating competitor sites while maintaining the authority your enterprise audience expects" passes.
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.
- 10d ago First seen · 141 lines · 60 tokens per session scan A 834d48765fb4
brand-visual-identity is a skill published in the GitHub repository jgerton/brand-toolkit (61 stars, last pushed 4mo ago), licensed MIT. It adds 60 tokens to every session and 1,297 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 2026-08-30.
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