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 atypica-ai/marketing-skills --skill logo-designgit clone --depth 1 https://github.com/atypica-ai/marketing-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/atypica-ai/marketing-skills/logo-design)<a href="https://agentmods.dev/skills/atypica-ai/marketing-skills/logo-design"><img src="https://agentmods.dev/badge/skills/atypica-ai/marketing-skills/logo-design/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/atypica-ai/marketing-skills/logo-design"><img src="https://agentmods.dev/badge/skills/atypica-ai/marketing-skills/logo-design.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 | $0.00084 | $0.04087 |
| Opus 5 | $0.00042 | $0.02044 |
| Sonnet 5 | $0.00017 | $0.00817 |
| Haiku 4.5 | $0.00008 | $0.00409 |
Grade A, and why
logo-design 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 — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logo Design Skill
Transform brand identity into distinctive, memorable visual marks. Every logo tells a story — the skill ensures that story is grounded in research, typographic craft, and strategic thinking, then delivered as production-ready SVG.
Output format: SVG vector files, automatically opened in the browser for instant preview.
Phase 1: Discovery & Brief
Before any design work, you must gather context from the user. Ask for anything not already provided.
Required Information
- Brand name — the exact text to appear in the logo
- Industry / domain — what the brand does (drives visual metaphors and tone)
- Brand story / core values — the idea, spirit, or promise the brand wants to communicate
- Target audience — who the primary users/customers are (age, taste, cultural context)
Recommended Information
- Competitors — key competitor names (for differentiation)
- Color preferences — specific colors, or a mood direction (bold, elegant, playful, tech-forward, etc.)
- Style preference (if not specified, recommend based on analysis):
- Wordmark — pure typography (e.g., Google, FedEx)
- Lettermark / Monogram — initials (e.g., IBM, HBO, LV)
- Icon + Text — symbol paired with brand name (e.g., Apple, Nike)
- Abstract Mark — geometric / abstract symbol (e.g., Pepsi, Airbnb)
- Emblem — text enclosed within a shape (e.g., Starbucks, Harley-Davidson)
- Combination Mark — flexible pairing of icon and text
- Exclusions — styles, colors, or elements the user explicitly does NOT want
Phase 2: Market Research & Inspiration
You must conduct web research before designing. This grounds the work in current reality rather than generic assumptions.
What to Research
- Industry logo trends — current mainstream and emerging styles in the brand's sector
- Competitor logo analysis — visual strategies of named competitors; identify patterns to differentiate from
- Typography inspiration — typefaces and lettering styles that match the brand's tone
- Color trends — how brands in the same space use color; opportunities to stand out
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 · 362 lines · 84 tokens per session scan A 9c4e0c2b0660
logo-design is a skill published in the GitHub repository atypica-ai/marketing-skills (44 stars, last pushed 5mo ago), licensed MIT. It adds 84 tokens to every session and 4,087 once invoked, about $0.0004 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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