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 agentmods add skills/mountainunicorn/add/brandnpx skills add MountainUnicorn/add --skill brandgit clone --depth 1 https://github.com/MountainUnicorn/addWrote 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/mountainunicorn/add/brand)<a href="https://agentmods.dev/skills/mountainunicorn/add/brand"><img src="https://agentmods.dev/badge/skills/mountainunicorn/add/brand.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.01001 |
| Opus 5 | $0.00011 | $0.00500 |
| Sonnet 5 | $0.00004 | $0.00200 |
| Haiku 4.5 | $0.00002 | $0.00100 |
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 4d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADD Brand Command v{{VERSION}}
Display the current branding configuration for this ADD-managed project. Shows accent color, palette, fonts, tone, where branding is applied, detects brand drift in generated artifacts, and reports image generation capability status.
Pre-Flight
- Check if
.add/config.jsonexists. If not, tell the user to run/add:initfirst. - Read
.add/config.jsonand extract thebrandingsection. - If no
brandingsection exists, inform the user: "No branding configured. Run/add:brand-updateto set up branding, or re-run/add:init --reconfigureto add it during setup."
Phase 1: Display Current Branding
Read branding from .add/config.json and display:
PROJECT BRANDING
Accent Color: {accentColor} ({presetName or "custom"})
Palette:
Gradient: {gradientStart} → {gradientMid} → {gradientEnd}
Light/Dark: {accentLight} / {accentDark}
Muted: {accentMuted}
Success: {palette.success}
Fonts: {fonts.heading}, {fonts.body}, {fonts.code} — or "Not configured (using system defaults)"
Tone: {tone} — or "Not configured"
Logo: {logoPath} — or "Not configured"
Style Guide: {styleGuideSource} — or "Not configured"
Preset: {presetName or "Custom color"}
Phase 2: Artifact Scan & Drift Detection
Scan known artifact locations for brand consistency:
Step 2.1: Find Generated Artifacts
Check for the existence of:
docs/infographic.svgreports/*.html(glob for any HTML reports)README.md(check for embedded infographic reference)
Step 2.2: Check for Color Drift
For each found artifact:
SVG Infographic (docs/infographic.svg):
- Read the file
- Search for hex color values in
linearGradientelements andfill/strokeattributes - Compare against configured
branding.palettecolors - Flag any accent/gradient colors that don't match the configured palette
HTML Reports (reports/*.html):
- Read each file
- Search for CSS
--accent:variable value - Compare against configured
branding.accentColor - Flag mismatches
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.
- 4d ago First seen · 131 lines · 22 tokens per session scan A 769342c5e8b0
brand is a skill published in the GitHub repository MountainUnicorn/add (11 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 1,001 once invoked, about $0.0001 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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