drift-detection
drift-detection is a Design systems & theming skill for AI agents, published by murphytrueman in the design-system-ops repository on GitHub. Skillspace rates drift-detection D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Identify where a design system has diverged from its original intent across the whole system — components implemented differently to spec, tokens overridden locally, patterns forked across teams. This is a system-wide sweep for divergence patterns, NOT a single-component spec comparison. Trigger when someone says: find drift, where has the system diverged, design code inconsistency, what's out of sync, where are teams going off-system, component drift, or anything about identifying gaps between design system intent and actual implementation. Do NOT trigger for checking one specific component against its design spec — use design-to-code-check for that.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 143
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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