treatment-demand-radar
treatment-demand-radar is a Keyword research skill for AI agents, published by unifapi-agent in the agents repository on GitHub. Skillspace rates treatment-demand-radar B (81/100) and it passed the safety scan; the rating is based on static analysis only.
When a med spa or aesthetics clinic wants to know which treatments are in demand locally and what content or offers to prioritize. Also use on "med spa content ideas," "which treatments are trending," "treatment demand," "what should we promote," "med spa SEO content," "is [treatment] trending on TikTok," or "are we showing up in AI answers for treatments." Reads public data only — marketing research, not medical advice.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 519
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
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General med-spa demand research; UnifAPI is only a data source.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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