multi-modal-input
multi-modal-input is a UX design & wireframing skill for AI agents, published by Owl-Listener in the inclusive-design-skills repository on GitHub. Skillspace rates multi-modal-input D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Design interfaces that offer multiple input methods so users can choose what works for their abilities and context. Use when designing any interactive system where users provide input — forms, search, editors, creative tools, communication interfaces. Triggers on: multi-modal, input methods, alternative input, how people interact, mouse alternative, touch alternative, input flexibility, switch access, eye tracking, head pointer.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 82
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 2 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.