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 smk-labs/claude-plugins --skill brandgit clone --depth 1 https://github.com/smk-labs/claude-pluginsWrote 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/smk-labs/claude-plugins/brand)<a href="https://agentmods.dev/skills/smk-labs/claude-plugins/brand"><img src="https://agentmods.dev/badge/skills/smk-labs/claude-plugins/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/smk-labs/claude-plugins/brand"><img src="https://agentmods.dev/badge/skills/smk-labs/claude-plugins/brand.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 3 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00064 | $0.01225 |
| Opus 5.5 | $0.00026 | $0.00490 |
| Sonnet 5.5 | $0.00013 | $0.00245 |
| Haiku 4.5 | $0.00006 | $0.00122 |
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 1mo 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brand: a per-project skin for cards and reports
Output = a small committable .readable/ dir at the project root (ONLY at a project root, never ~/.claude or $HOME: config dirs are not projects). From then on /report reskins automatically, and chat cards do too (the session hook announces the dir at session start; an app restart lets other sessions pick up a brand created mid-session). Since 4.13.1 the card server never guesses a brand across open projects: a call without an announced brand renders stock, so parallel branded projects cannot leak into each other.
1. Detect before asking
Search the repo for an existing identity, in this order; quote what you find to the user before generating:
- Design tokens:
**/tokens.css,**/design-system/**, CSS custom props in the main stylesheet,tailwind.config.*color scales. DESIGN.md/BRAND.md/ brand guidelines docs.- Logos:
media/brand/,public/*.svg, favicon SVGs. Prefer a mark that usescurrentColor(theme-flips for free). - Fonts:
@font-facefiles in the repo, or the families the site loads.
If ≥ a primary/accent color and a light-or-dark character are found, generate directly. Otherwise interview with AskUserQuestion, ONE batch: accent color (offer 3 sensible hues + custom hex), light surface character (pure white / warm cream / cool gray), dark base (ink navy / graphite / near-black), wordmark text + optional logo path, one tone word (serious/friendly/technical — store it, it guides future doc copy). Never ask what detection already answered.
2. Generate .readable/
brand.css — variable overrides only, in EXACTLY this vocabulary (card template + report shell both consume it). Author card-first: a :root{} light block and a bare [data-theme="dark"]{} dark block (consumers normalize selectors themselves). Vars: --text-primary --text-secondary --text-accent --surface-1 --surface-2 --border --border-strong --bg-success --bg-accent --bg-warning --bg-danger --font-mono (report-only extra: --page-bg). Chart hues go on .rc{--ca:… --cb:… --cc:… --cd:…} (dark tweaks via [data-theme="dark"] .rc{…}).
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.
- 1mo ago Changed · +3 lines · -58 tokens per session 5294013b1f5d
- 1mo ago First seen · 47 lines · 122 tokens per session scan A a27ff76dc472
brand is a skill published in the GitHub repository smk-labs/claude-plugins (11 stars, last pushed 28d ago), licensed MIT. It adds 64 tokens to every session and 1,225 once invoked, about $0.0003 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.
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