Borrowing it
Nothing to install: this file belongs to VGrss/Acumen. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/VGrss/Acumen/main/.agents/skills/brand/SKILL.mdgit clone --depth 1 https://github.com/VGrss/AcumenWrote 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/vgrss/acumen/brand)<a href="https://agentmods.dev/skills/vgrss/acumen/brand"><img src="https://agentmods.dev/badge/skills/vgrss/acumen/brand/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/vgrss/acumen/brand"><img src="https://agentmods.dev/badge/skills/vgrss/acumen/brand.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 | $0.00037 | $0.01168 |
| Opus 5.5 | $0.00015 | $0.00467 |
| Sonnet 5.5 | $0.00007 | $0.00234 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
brand 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 2mo 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MANDATORY PREPARATION
Invoke /product-thinking — it contains product principles and the Context Gathering Protocol. Follow the protocol before proceeding — if no product context exists yet, you MUST run /teach-acumen first.
Mindset: A brand is a contract with the people you serve, expressed in design decisions. DESIGN.md makes that contract legible to coding agents so UI work stays consistent without re-prompting. Tokens give agents exact values; prose tells them why those values exist.
DESIGN.md follows the Google DESIGN.md spec. It lives at the project root (not in .acumen/) and IS checked in — it's a contract, not gitignored context.
Behavior
When called with a section argument (colors, typography, components, spacing, rounded): Update only that section. Ask the user what changed and why.
When called without argument or with all: Full scan and refresh. Build from existing styles outward, not from a blank template.
Research Process
- Read
.acumen.mdfor product context — positioning, audience, brand voice cues - Read existing
DESIGN.mdif it exists - Scan the codebase for source-of-truth styles:
tailwind.config.{js,ts}—theme.extendcolors, fontFamily, spacing, borderRadiusapp/globals.css/src/styles/*.css— CSS custom properties (--color-*,--font-*)- Component primitives (Button, Card, Input) — extract token usage patterns
- Any existing design tokens file (
tokens.json,tokens.css)
- Read brand prose if available — README, marketing site copy, brand guidelines doc
- For each token category, capture both the value and the rationale:
- Colors — primary, secondary, tertiary, neutral; what each is for, not just what it is
- Typography — heading scale, body, captions; voice the type carries (authority, warmth, precision)
- Spacing & rounded — rhythm and softness; what the system feels like
- Components — map composite tokens (button-primary, button-primary-hover) to primitives via references like
{colors.tertiary}
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.
- 2mo ago First seen · 125 lines · 37 tokens per session scan A f692c3ea6a31
brand is a skill published in the GitHub repository VGrss/Acumen (12 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,168 once invoked, about $0.0001 per session on Opus 5.5. 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.
brand compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| brandVGrss/Acumen | Skill | 12 | 3mo ago | Apache-2.0 | A | 37 | Claude Code |
| webgl-holographic-foilnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 41 | Claude Code, Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 53 | Claude Code, Codex |
| html-ppt-taste-brutalistnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 78 | Claude Code, Codex |
| visual-ralphYeachan-Heo/oh-my-codex | Skill | 34k | 3d ago | MIT | A | 52 | Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| accessibilitymicrosoft/hve-core | Skill | 1.6k | yesterday | MIT | A | 47 | Claude Code |