design-award-search
design-award-search is a Web research & fact-checking skill for AI agents, published by SeanJ1ang in the design-judge-skills repository on GitHub. Skillspace rates design-award-search C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Find and verify award-winning designs in the same or adjacent functional category through eight explicit relevance dimensions: problem and user, core function, sensing technology, intervention mechanism, physical form, use context and workflow, system architecture, and visual language. Use when a user asks for same-category winners, comparable precedents, design benchmarks, appearance-related award winners, or examples from iF Design, Red Dot, IDEA, or iF Design Student Award. Do not use this skill to score, judge, optimize, or match the user's design to an award.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 1,021
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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