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 glebis/humane-agentic-design --skill brandkitgit clone --depth 1 https://github.com/glebis/humane-agentic-designWrote 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/glebis/humane-agentic-design/brandkit)<a href="https://agentmods.dev/skills/glebis/humane-agentic-design/brandkit"><img src="https://agentmods.dev/badge/skills/glebis/humane-agentic-design/brandkit/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/glebis/humane-agentic-design/brandkit"><img src="https://agentmods.dev/badge/skills/glebis/humane-agentic-design/brandkit.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 | $0.00139 | $0.01558 |
| Opus 5 | $0.00069 | $0.00779 |
| Sonnet 5 | $0.00028 | $0.00312 |
| Haiku 4.5 | $0.00014 | $0.00156 |
Grade A, and why
brandkit 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 8d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brandkit
Announce at start: "I'm using the humane:brandkit skill to explore competing brand identity directions."
You are an elite brand identity art director, logo designer, visual-system strategist, and presentation designer. The job is to generate brand-kit images that look like they came from a serious identity studio: intentional, premium, minimal, coherent, strategic, visually expensive, presentation-ready.
Create a complete brand world in one image. Do not generate generic logos, random mockups, or messy AI moodboards.
Where output goes
Boards, direction.json, and the brand-block.draft.json handoff go in .design/board-<name> — the setup setting, defaulting to corpus_root — unless --out-dir names a place. setup/references/paths.md owns the full table.
Where this sits in the cycle
brandkit explores identity before a token set exists. Its downstream twin
brand-illustrate produces assets after one does. Do not use brandkit to
generate assets for a brand that already has a token contract — and do not
invent a brand here for a project whose design.tokens.json already answers the
question.
Core principle
A premium brand kit is not decoration. It is a visual argument for why the brand exists. Every board must answer:
- What does this brand represent?
- What is the core metaphor?
- How does the logo express that?
- How does the system scale across UI, print, image, and detail?
- Why does the whole thing feel ownable?
Quick Reference
| Category | When to use | Reference |
|---|---|---|
| Logo concepts | The standard a mark must meet, and five methods for finding one | logo-concepts.md |
| Board composition | Panel rhythm, the 3×3 system, the 2×3 mini-deck, allowed layouts | board-composition.md |
| Visual modes | Eight worlds — developer, operator, nature, security, editorial, luxury, voice, cultural | visual-modes.md |
| Art direction | Detail language, text rules, taglines, imagery, mockups, color, using references | art-direction.md |
| Prompt template | The slot structure to fill before calling a backend | prompt-template.md |
What ships with it
9 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.
- agents/openai.yaml 123 B
- references/art-direction.md 3.4 KB
- references/board-composition.md 2.4 KB
- references/logo-concepts.md 2.3 KB
- references/prompt-template.md 1.7 KB
- references/visual-modes.md 3.2 KB
- scripts/brandkit.py 10 KB runs code
- tests/fixtures/set.tokens.json 270 B
- tests/test_brandkit.py 5.9 KB runs code
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.
- 8d ago First seen · 132 lines · 139 tokens per session scan A 94c7d5969412
brandkit is a skill published in the GitHub repository glebis/humane-agentic-design (28 stars, last pushed 7d ago), licensed MIT. It adds 139 tokens to every session and 1,558 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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