drift-detection

drift-detection is a skill for Claude Code from murphytrueman/design-system-ops. It costs 124 tokens per session (3,750 once invoked), scanned A, original, MIT.

A system-wide review for finding differences between a design system and the products that use it. A design system is a shared set of interface rules, components, and style values.

In plain words
What is it for?
Use it to scan products for inconsistent components, locally changed design values, and duplicated interface patterns. It produces findings with severity, likely cause, and a suggested response.
Why use it?
It shows where teams have unintentionally copied or changed components, spacing, colors, or interaction patterns. This helps separate deliberate product choices from inconsistencies that create maintenance work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: $skill-name invocation.

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

Made for: Claude Code.

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 drift-detection

README.md
[![agentmods](https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/drift-detection.svg)](https://agentmods.dev/skills/murphytrueman/design-system-ops/drift-detection)
Your own site
<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>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,750 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 5.1 $0.00124 $0.03750
Opus 5 $0.00062 $0.01875
Sonnet 5 $0.00025 $0.00750
Haiku 4.5 $0.00012 $0.00375

Measured 6d ago against content hash 86fb421f7546, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

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.

skills/drift-detection/SKILL.md · 292 lines

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 ratings
  • system.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.repo for 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 !important on 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

Read the full file on GitHub · 292 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. 6d ago First seen · 292 lines · 124 tokens per session scan A 86fb421f7546

Subscribe to this mod's changes

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.

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