wonder-blocks
wonder-blocks is a Component libraries & UI kits skill for AI agents, published by Khan in the wonder-blocks repository on GitHub. Skillspace rates wonder-blocks D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Implements user interfaces using the Wonder Blocks (WB) design system — Khan Academy's React component library. Use this skill whenever the user asks you to build, modify, or review UI components; wants to use or map WB tokens for colors/spacing/typography (including translating Figma designs to WB components and tokens); or asks how to do something "the Wonder Blocks way". If the user is building any kind of form, layout, modal, button, dropdown, or typography treatment in a WB-enabled codebase, this skill applies — even if they don't explicitly say "Wonder Blocks". Do NOT trigger for debugging TypeScript errors, writing tests, or fixing CI/lint issues in WB packages.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 162
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- 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
- Category is a classifier prediction; no model has read this skill 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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