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/murphytrueman/design-system-ops/drift-detectionnpx skills add murphytrueman/design-system-ops --skill drift-detectiongit clone --depth 1 https://github.com/murphytrueman/design-system-opsWrote 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/murphytrueman/design-system-ops/drift-detection)<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/drift-detection"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/drift-detection.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 5.1 | $0.00124 | $0.03750 |
| Opus 5 | $0.00062 | $0.01875 |
| Sonnet 5 | $0.00025 | $0.00750 |
| Haiku 4.5 | $0.00012 | $0.00375 |
Grade A, and why
drift-detection 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 6d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drift detection
A skill for identifying and classifying drift in a design system — the accumulated distance between design system intent and actual implementation across consuming products. Produces a drift report with severity ratings, origin classification, and recommended response for each finding.
Context
Drift is the normal condition of a used design system. The question is not whether your system has drifted — it has — but whether the drift is intentional, how severe it is, and whether it is compounding.
Not all drift is bad. A product team that made a deliberate, documented exception to an established pattern is making a design decision. A product team that unknowingly re-implemented a design system component with slightly different spacing is creating maintenance debt. The distinction matters, because the response is different: intentional drift might become a contribution, while accidental drift needs to be corrected and its root cause addressed.
This skill distinguishes between drift types and routes each finding to the appropriate response.
Configuration
Before producing output, check for a .ds-ops-config.yml file in the project root. If present, load:
severity.*— overrides for drift finding severity ratingssystem.styling— pre-selects token drift detection approach (CSS vars, SCSS, Tailwind, CSS-in-JS)integrations.*— enables auto-pull for drift comparison data (see below)recurring.*— enables comparison with previous drift report
Auto-pull integrations
If integrations are configured in .ds-ops-config.yml, pull data automatically:
Figma MCP (integrations.figma.enabled: true):
- Read component specifications from the published library at
integrations.figma.file_key - Use as the design-side reference for visual and API drift detection
- Compare Figma component properties against code component props to detect API drift without manual specification
GitHub (integrations.github.enabled: true):
- Search
integrations.github.repofor code patterns that indicate drift:- Hardcoded colour values outside the design system package
- Local component re-implementations (component names used outside the system's source)
- Token overrides using CSS
!importanton design token properties
- Pull recent PRs to identify components changed outside the design system package
- Use commit history on component files to detect version lag
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.
- 6d ago First seen · 292 lines · 124 tokens per session scan A 86fb421f7546
drift-detection is a skill published in the GitHub repository murphytrueman/design-system-ops (175 stars, last pushed 14d ago), licensed MIT. It adds 124 tokens to every session and 3,750 once invoked, about $0.0006 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.
Other skills, from other repositories
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Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
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…
design-engineering
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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"…
sheleg-design
Use when deciding how something LOOKS or MOVES — cinematic landing pages and hero sections, particle/WebGL, scrubbed motion, drift, dashboards, admin or internal tools, mobile screens, chat or agent interfaces, tokens, palettes, typography and the Figma border. Triggers - "design a landing" / "дизайн лендинга", "build…