system-benchmark

system-benchmark is a skill for Claude Code, Codex from murphytrueman/design-system-ops. It costs 154 tokens per session (3,190 once invoked), scanned A, original, MIT.

A comparison of a design system with published industry examples, open-source systems, and maturity models. A design system is the shared set of interface styles and reusable components used across a product.

In plain words
What is it for?
It produces a qualitative benchmark report with named comparisons, findings, and prioritised improvement areas. It is for understanding how a design system compares with documented public practices.
Why use it?
An internal health check shows how a system is doing on its own, but not how it compares with established approaches. This gives teams reference points for judging gaps and setting improvement targets.

Skill for Claude CodeCodex

Part of the design-system-ops plugin — 40 skills, 14 commands shipped together

Install

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.

agentmods
npx agentmods add skills/murphytrueman/design-system-ops/system-benchmark
Any agent
npx skills add murphytrueman/design-system-ops --skill system-benchmark
Clone the repo
git clone --depth 1 https://github.com/murphytrueman/design-system-ops

Made for: Claude Code, Codex.

Or install design-system-ops, the plugin that ships this one along with the rest of its 40 skills, 14 commands.

Wrote 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.

agentmods badge for system-benchmark

README.md
[![agentmods](https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/system-benchmark.svg)](https://agentmods.dev/skills/murphytrueman/design-system-ops/system-benchmark)
Your own site
<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/system-benchmark"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/system-benchmark.svg" alt="Measured on agentmods" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,190 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00154 $0.03190
Opus 5 $0.00077 $0.01595
Sonnet 5 $0.00031 $0.00638
Haiku 4.5 $0.00015 $0.00319

Measured 4d ago against content hash a2789a297bf7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

system-benchmark 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.

skills/system-benchmark/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Benchmark

A skill for benchmarking a design system against industry standards and comparable public systems, producing a qualitative comparison with specific reference points that answer: "How does our system compare to what good looks like?"

Output type: Proposal only. This skill produces analysis and comparisons. It does not make changes. It produces a benchmark report with findings, comparison context, and prioritised improvement areas.


Why this exists

System-health tells you if your system is healthy on its own terms. But it cannot answer: "Is our token architecture actually good? What do systems we admire look like at this layer?"

System Benchmark fills this gap. It compares your system against documented public benchmarks — published design system case studies, open-source system architectures, and industry maturity models — to give your findings context. A team that learns their token architecture is two tiers behind what mature enterprise systems typically have now has a specific target and gap to close.

This is not competitive intelligence. Design systems are not products competing in a market. This is calibration — understanding where your system sits on a maturity curve so you can prioritise investment.


Configuration

Check for .ds-ops-config.yml in the project root:

benchmark:
  system_type: "enterprise"          # enterprise, product, agency, government
  team_size: 5                        # Full-time design system team members
  system_age_months: 24               # How long the system has been in active development
  consumer_count: 12                  # Number of teams/products consuming the system
  comparison_targets:                 # Specific systems to compare against (optional)
    - "Material Design"
    - "Polaris"
    - "Carbon"

If no configuration exists, ask for:

  1. System type (enterprise, product, agency, government)
  2. Approximate team size
  3. How long the system has been active
  4. How many teams or products consume it

Read the full file on GitHub · 330 lines

Changes

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.

  1. 4d ago First seen · 330 lines · 154 tokens per session scan A a2789a297bf7

Subscribe to this mod's changes

system-benchmark is a skill published in the GitHub repository murphytrueman/design-system-ops (174 stars, last pushed 13d ago), licensed MIT. It adds 154 tokens to every session and 3,190 once invoked, about $0.0008 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.

Related

Other skills, from other repositories

extract-design

Extract the full design language from any website URL. Produces 8 output files including AI-optimized markdown, visual HTML preview, Tailwind config, React theme, shadcn/ui theme, Figma variables, W3C design tokens, and CSS variables. Also runs WCAG accessibility scoring. Use when user says 'extract design', 'get…

Manavarya09/design-extract · 98 tokens

designlang-tokens

Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.

Manavarya09/design-extract · 30 tokens

roast-my-design-system

Roast the current repo's design system with real data. Runs a deterministic scanner (no tokens, 1s) that counts everything that betrays a design system, from colours and their near-identical twins to greys, spacing values, typefaces, duplicated and never-imported components, inline styles, !important and arbitrary…

gregkozakiewicz/roast-my-design-system · 161 tokens

design-engineering

Premium design engineering skill for agentic workflows — produces high-end, distinctive UI designs using DESIGN.md as the portable contract across Pencil MCP (in-IDE canvas), Figma MCP (team handoff + design tokens), and Google Stitch (vibe exploration + AI generation). Enforces anti-generic principles, WCAG 2.2 AA…

broomva/skills · 231 tokens

generate-figma-screen

Kod veya açıklamadan Figma'da tam ekran/sayfa oluşturur. Yayınlanmış design system bileşenlerini arayıp instance olarak yerleştirir; hardcode değer yerine DS token'larını kullanır. "Figma'da ekran oluştur", "kodu Figma'ya çevir", "landing page çiz", "ekran tasarla", "generate screen", "UI'ı Figma'ya aktar"…

atezer/FMCP · 118 tokens

figma-a11y-audit

Figma ekranını erişilebilirlik açısından denetler. Renk kontrastı (WCAG AA/AAA), minimum dokunma hedefi, fokus sırası, metin boyutu ve platform-bazlı ekran okuyucu önerileri (VoiceOver, TalkBack, ARIA) üretir. "a11y audit", "erişilebilirlik kontrol", "kontrast kontrol", "accessibility check", "ekran okuyucu spec"…

atezer/FMCP · 124 tokens