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/sanky369/vibe-building-skillsnpx agentmods add skills/sanky369/vibe-building-skills/brand-assetWrote 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/sanky369/vibe-building-skills/brand-asset)<a href="https://agentmods.dev/skills/sanky369/vibe-building-skills/brand-asset"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/brand-asset/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/sanky369/vibe-building-skills/brand-asset"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/brand-asset.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 | $0.00149 | $0.01945 |
| Opus 5 | $0.00075 | $0.00972 |
| Sonnet 5 | $0.00030 | $0.00389 |
| Haiku 4.5 | $0.00015 | $0.00194 |
Grade A, and why
brand-asset 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Asset
Generate the visual identity elements a brand reuses everywhere — logo concepts, icons, patterns, illustrations, textures — as prompt specs sharp enough that the whole family looks designed by one hand. Prime rule: cohesion over cleverness. A brand asset is judged by how well it matches its siblings and survives resizing, not by how impressive it is alone. And be honest about the medium: the model outputs raster concepts; production logos and icons still need vector tracing.
When to use / when not to
Use for logos, icon sets, patterns, brand illustrations, and textures. Hand off instead when:
- No visual direction exists →
skills/creative/creative-strategistfirst; its brief supplies this skill's style, palette, and mood. For a single throwaway asset, derive a minimal style inline and label it an assumption. - The asset is a product image →
skills/creative/product-photography - The asset is a platform post/banner →
skills/creative/social-graphics - It's a general non-branded image →
skills/creative/image-generation - The user wants a full identity system rolled out across asset types →
skills/creative/orchestratorsequences it (strategist → this skill → the rest)
Intake
Ask in one batch, only what's missing:
- Brand — name, what it does, one sentence of personality.
- Asset type(s) — logo, icon set, pattern, illustration, texture? (These are
also the automation's exact
--asset-typechoices.) - Style anchor — Creative Direction Brief / existing logo to match, or palette hex codes? For icons/patterns joining an existing identity, matching it is mandatory, not optional.
- Usage — where will it live (app icon, website, print, merch)? This drives simplicity requirements and variant needs.
- Automation —
FAL_API_KEYset, or deliver specs only?
Infer, don't ask: aspect ratio (logos/icons/patterns → 1:1; wordmark
lockups → 3:2 or 16:9); resolution 2K (patterns/textures 4K). Don't
stall: with brand + asset type known, assume the rest, label it, proceed.
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.
- 12d ago First seen · 143 lines · 149 tokens per session scan A a7cd91fc9139
brand-asset is a skill published in the GitHub repository sanky369/vibe-building-skills (30 stars, last pushed 2mo ago), licensed MIT. It adds 149 tokens to every session and 1,945 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 2026-08-30.
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