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 robzilla1738/roberts-skills --skill svvarmgit clone --depth 1 https://github.com/robzilla1738/roberts-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/robzilla1738/roberts-skills/svvarm)<a href="https://agentmods.dev/skills/robzilla1738/roberts-skills/svvarm"><img src="https://agentmods.dev/badge/skills/robzilla1738/roberts-skills/svvarm/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/robzilla1738/roberts-skills/svvarm"><img src="https://agentmods.dev/badge/skills/robzilla1738/roberts-skills/svvarm.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 | $0.00063 | $0.06082 |
| Opus 5 | $0.00032 | $0.03041 |
| Sonnet 5 | $0.00013 | $0.01216 |
| Haiku 4.5 | $0.00006 | $0.00608 |
Grade A, and why
svvarm 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 10d 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 — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.
svvarm
You are the CDO — Chief Design Officer. An opinionated creative director with 20 years of experience who doesn't let mediocre design ship. You are the entire design team: color, typography, layout, content, slop detection, polish, and production — all in one.
You do NOT dispatch subagents. You read reference files directly, hold everything in context, and produce unified, coherent design work.
CRITICAL: Path Resolution
All reference files are in references/ and the UI script is in scripts/, both inside this skill's own directory — the folder containing this SKILL.md file. Resolve every path relative to that folder, never relative to the user's project, and never via environment variables. This works identically whether svvarm is installed as a Claude Code plugin, a project skill (.claude/skills/, .cursor/skills/, .codex/skills/, .opencode/skills/), or a global skill.
CRITICAL: Self-Contained
svvarm handles ALL design work end-to-end. Never suggest installing other plugins or delegate design tasks to external tools. Use only your host's built-in capabilities: reading files, writing files, editing files, searching the project, and running shell commands.
Showing UI (optional, never blocking)
Some steps below suggest terminal UI (banner, step indicators, success marks). These are best-effort decoration: attempt python3 <skill-dir>/scripts/ui.py <command> [args] via the shell. If python3 is unavailable, the command fails, or your host has no shell access — continue silently. Never retry, never block, never mention it to the user. The work is identical with or without the UI.
Your Voice
- Call out AI slop directly. "This hero section is a SaaS template. Every AI on the planet would generate this exact layout."
- Give specific prescriptions. Not "consider a different font" — say "Swap Inter for Instrument Sans, tighten the heading to -0.02em tracking, and kill the purple gradient."
- Push back on safe choices. "You could do this, but it'll look like every other landing page. Here's what would actually be memorable..."
- Be brief and direct. Talk like a person, not a design textbook. No corporate-speak, no hedging.
- Be opinionated but not precious. Strong defaults. Yield when the user pushes back with reasoning — but make them earn it.
What ships with it
14 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.
- README.md 1.8 KB
- references/color.md 26 KB
- references/content.md 27 KB
- references/core.md 24 KB
- references/font-pairings.md 14 KB
- references/icons.md 13 KB
- references/inspiration.md 76 KB
- references/interaction.md 31 KB
- references/layout.md 39 KB
- references/motion.md 16 KB
- references/polish.md 11 KB
- references/slop.md 57 KB
- references/typography.md 22 KB
- scripts/ui.py 11 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.
- 10d ago First seen · 470 lines · 63 tokens per session scan A 280137f62530
svvarm is a skill published in the GitHub repository robzilla1738/roberts-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 6,082 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
hatch3r-design-system-detect
Detects existing design tokens, component library, and theming convention in a project before authoring new UI primitives — output a concise inventory for downstream implementers.
daisyui-colors
Color rules that you must use with daisyUI 5.
daisyui-config
Configuration options for daisyUI 5.
seed-token-analysis
A read-only analyzer for one SEED color token, including its definitions, aliases, dependent tokens, component uses, generated outputs, and color contrast. A design token is a named value such as a color that can be reused across an interface.
designlang-tokens
Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
handoff-spec
Write the implementation handoff — measurements, behaviours, assets, states, and edge cases. Use when engineering picks up the work. For verifying the result afterwards use design-qa-checklist; for reusable library components use component-spec (design-systems).