lollapalooza-effect
lollapalooza-effect is a Structured reasoning & decision frameworks skill for AI agents, published by kangarooking in the poor-charlies-almanack-skill repository on GitHub. Skillspace rates lollapalooza-effect D (59/100) and it passed the safety scan; the rating is based on static analysis only.
当用户需要理解极端事件（泡沫、崩盘、群体疯狂、邪教、暴民行为）、诊断组织系统性失败、或评估多种心理/市场/制度力量同时朝一个方向叠加的风险时激活。典型触发信号：用户描述的现象"远超任何单一因素能解释的程度"；用户试图用单一原因解释极端结果；用户担心"多种不利因素同时爆发"。不适用于常规的单因素决策分析或温和的增量变化评估。
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 26
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
- 84 / 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.