persona-sim
persona-sim is a User interviews & surveys skill for AI agents, published by Yrzhe in the claude-skills repository on GitHub. Skillspace rates persona-sim F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Simulate feedback from statistically grounded virtual human populations. Use when the user wants to get product or copy feedback from a panel of diverse personas, predict group opinions or voting behavior, run social-experiment sandboxes, or compute a semantic gradient (SGO) for A/B ranking. Also triggers on mentions of Nemotron-Personas, PersonaHub, synthetic population, generative agents, silicon sample, LLM survey simulation, persuadable middle, SGO, social sandbox, 用虚拟人群测试, 模拟民意, 投票预测模拟.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- 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.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- 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.