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 mike-coulbourn/claude-vibes --skill brand-color-psychologygit clone --depth 1 https://github.com/mike-coulbourn/claude-vibesWrote 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/mike-coulbourn/claude-vibes/brand-color-psychology)<a href="https://agentmods.dev/skills/mike-coulbourn/claude-vibes/brand-color-psychology"><img src="https://agentmods.dev/badge/skills/mike-coulbourn/claude-vibes/brand-color-psychology/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/mike-coulbourn/claude-vibes/brand-color-psychology"><img src="https://agentmods.dev/badge/skills/mike-coulbourn/claude-vibes/brand-color-psychology.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 | $0.00078 | $0.02906 |
| Opus 5.5 | $0.00031 | $0.01162 |
| Sonnet 5.5 | $0.00016 | $0.00581 |
| Haiku 4.5 | $0.00008 | $0.00291 |
Grade A, and why
brand-color-psychology 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 1mo 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 — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand color psychology & strategic palette development
Quick reference for developing strategic brand color palettes grounded in psychology, differentiation, and practical application.
"62-90% of snap judgments about products are based on color alone." — Satyendra Singh, Management Decision (2006)
"Consistent color use can increase brand recognition by up to 80%." — Reboot Online Study
"Color appropriateness to the brand context may be the single most important factor." — Help Scout Research
Key statistics
| Metric | Value | Implication |
|---|---|---|
| First impressions based on color | 90% | Color creates instant perception |
| Brand recognition from consistent color | 80% | Consistency compounds over time |
| Snap judgments color-based | 62-90% | Color forms the first impression |
| Time to form judgment | 90 seconds | Color dominates in the 90-Second Rule |
Core frameworks
1. Color-in-Context Theory (Elliot & Maier)
The foundational principle: Color effects are neither universal nor arbitrary. They are context-dependent.
Key principles:
- Color meaning varies based on psychological context
- Some responses are biological; others are learned through repeated pairings
- Hue, lightness, and chroma all matter, not just hue
- Same color triggers different responses in different contexts
Example: Red on a sale banner = urgency. Red on a health app = danger/warning. Red on Valentine's = love/passion. Context determines meaning.
When to use: When making strategic decisions about color meaning for your specific brand context, audience, and industry.
2. The Appropriateness Principle
The key insight: Color effectiveness depends on perceived fit with the brand, product, and context.
An "appropriate" color outperforms a theoretically "better" color that feels wrong.
- Blue works for finance because people expect trust signals there
- Blue may not work for a children's candy brand
- Fit > Theory
What ships with it
1 file 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.
- 1mo ago Changed · -23 tokens per session 800de86354fc
- 1mo ago First seen · 304 lines · 101 tokens per session scan A ba4b1b135655
brand-color-psychology is a skill published in the GitHub repository mike-coulbourn/claude-vibes (44 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 2,906 once invoked, about $0.0003 per session on Opus 5.5. 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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