product-feedback-sim
product-feedback-sim is a User interviews & surveys skill for AI agents, published by Yrzhe in the claude-skills repository on GitHub. Skillspace rates product-feedback-sim D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Get structured feedback on a product, copy, pricing, or feature from a simulated panel of target users. Use when the user wants to rank A/B candidates, find persuadable-middle users, or compute a semantic gradient before shipping. Triggers on 产品反馈模拟, A/B 排序, SGO 梯度, persuadable middle, 50 个虚拟用户打分, 看看目标用户怎么想.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.