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 whawkinsiv/solo-founder-skills --skill brand-identity-generatorgit clone --depth 1 https://github.com/whawkinsiv/solo-founder-skillsWrote 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/whawkinsiv/solo-founder-skills/brand-identity-generator)<a href="https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/brand-identity-generator"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/brand-identity-generator/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/whawkinsiv/solo-founder-skills/brand-identity-generator"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/brand-identity-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.08034 |
| Opus 5 | $0.00031 | $0.04017 |
| Sonnet 5 | $0.00012 | $0.01607 |
| Haiku 4.5 | $0.00006 | $0.00803 |
Grade A, and why
brand-identity-generator 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 — 775 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Identity Generator
Generate a complete BRAND-IDENTITY.md file for the user's project root — a single reference document that specifies every visual decision so AI tools never guess.
Two modes:
- Guided discovery (default) — Ask one question, propose a full identity, refine from reactions. The user never needs design vocabulary.
- Expert shortcut — Detect when the user already provides specific design tokens (hex codes, font names, spacing values). Acknowledge what they've specified, fill gaps with smart defaults, skip discovery.
The output is a project-level reference file, not a skill. Once generated, any AI tool (Claude Code, Lovable, Cursor, Replit) can read BRAND-IDENTITY.md and build consistent UI without repeated instructions.
Logo guidance, decision frameworks, and common branding mistakes are included at the end.
Discovery Process
Core principle: The user should never need to use design vocabulary. They react to your proposals. You do the heavy lifting.
Default Path (Guided Discovery)
Step 1 — Ask ONE question:
"What are you building and who is it for?"
That's it. One question. Do not ask about colors, fonts, or design preferences.
Step 2 — Select reference brands:
Based on their answer, select the 1-2 closest reference brands from the Reference Brand Library below. Use the "Best for" field to match.
Step 3 — Propose a complete identity in plain English:
Write a human-readable recommendation. Talk about feeling, not specs. Example tone:
"Your users are developers who'll have this open all day. Products that succeed in this space — like Linear and GitHub — use calm, minimal aesthetics because your users stare at this 8 hours a day. I'd go with a dark-compatible palette built around a single cool accent, tight spacing so information density is high, and geometric type that feels fast. Here's what I'd recommend and why..."
Then present a summary covering:
- Overall feel in plain words
- Which reference brands you're drawing from and why
- Color direction (warm/cool, light/dark, accent character)
- Typography character (not font names — "clean and precise" vs "warm and readable")
- Density and spacing feel
- Component personality (sharp and fast vs soft and friendly)
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 · 775 lines · 62 tokens per session scan A abc3a99873af
brand-identity-generator is a skill published in the GitHub repository whawkinsiv/solo-founder-skills (243 stars, last pushed 16d ago), licensed MIT. It adds 62 tokens to every session and 8,034 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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