Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/pbc-os/smb-starter-kitnpx agentmods add skills/pbc-os/smb-starter-kit/brand-identityWrote 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/pbc-os/smb-starter-kit/brand-identity)<a href="https://agentmods.dev/skills/pbc-os/smb-starter-kit/brand-identity"><img src="https://agentmods.dev/badge/skills/pbc-os/smb-starter-kit/brand-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/pbc-os/smb-starter-kit/brand-identity"><img src="https://agentmods.dev/badge/skills/pbc-os/smb-starter-kit/brand-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 | $0.00135 | $0.04945 |
| Opus 5 | $0.00068 | $0.02472 |
| Sonnet 5 | $0.00027 | $0.00989 |
| Haiku 4.5 | $0.00014 | $0.00494 |
Grade A, and why
brand-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 11d 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 — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Identity System Generator
Generate an 18-deliverable brand identity system with visual assets, design tokens, vector logos, and a printable brand guide. This produces the same output as a $100k+ branding agency engagement — strategy through governance, digital through print.
Setup Verification
The agent should verify the following before using this skill:
- Check nano-banana skill: Required for visual asset generation (19 raster images). Verify:
python3 -c "from google import genai; print('ok')" - Check API key:
GEMINI_API_KEYmust be set in environment or.envfile - Check pngquant (optional):
which pngquant— needed only if generating transparent web-ready assets. Install:brew install pngquant(macOS) orapt install pngquant(Linux) - Sub-agents: Strongly recommended for parallelizing the 18 deliverables across 4 execution waves
If nano-banana is unavailable, the system still works — all 18 document deliverables generate normally, and visual asset locations are referenced as planned paths for later generation.
Phase 1: Brand Intake
Before generating anything, gather inputs from the user. Present the Essential Questions as a numbered list and wait for answers. After the essentials, offer the Deep Dive questions for anyone who wants more control.
Essential Questions (Always Ask These)
| # | Question | Purpose | Example |
|---|---|---|---|
| 1 | Product/company name — exact casing as it should appear | Logo, wordmark, all copy | AcmeCoffee |
| 2 | What does it do? — one paragraph, plain language | Strategy, positioning, messaging | "A neighborhood roaster that ships single-origin beans direct to subscribers" |
| 3 | One-sentence pitch | Anchor line for all strategy docs | "Single-origin coffee from the roaster next door." |
| 4 | Tagline/slogan — or "generate options for me" | Logo lockups, hero sections, campaigns | "Technology disappears. Dinner arrives." |
| 5 | Brand personality — 3-5 adjectives that describe the brand's character | Visual direction, voice, all creative decisions | Warm, confident, clear, human-first |
| 6 | Color direction — existing hex codes OR mood/feeling description | Entire color system, UI, templates | "Warm earth tones" OR #5B8C5A, #E8A838, #FAF6F1 |
| 7 | Typography direction — existing font names OR personality description | Type system, all documents, code | "Plus Jakarta Sans" OR "modern geometric sans-serif, rounded" |
| 8 | Logo concept — wordmark text, symbol/icon, monogram, mascot? | Logo system, vector assets, applications | "Lowercase wordmark + abbreviated mark + robot mascot" |
| 9 | Design aesthetic — overall visual direction and illustration style | Art direction, patterns, visual assets | "Warm, organic, tilt-shift diorama illustrations, golden hour lighting" |
| 10 | Output directory — where to save the entire system | File paths for all deliverables | /path/to/project/marketing/lookbook/ |
What ships with it
3 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.
- 11d ago First seen · 395 lines · 135 tokens per session scan A 804568dade47
brand-identity is a skill published in the GitHub repository pbc-os/smb-starter-kit (10 stars, last pushed 3mo ago), licensed MIT. It adds 135 tokens to every session and 4,945 once invoked, about $0.0007 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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