augur-aschenbrenner
augur-aschenbrenner is an Investment analysis & markets skill for AI agents, published by BruceLanLan in the augur repository on GitHub. Skillspace rates augur-aschenbrenner C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Leopold Aschenbrenner AI地缘政治 投资分析 Agent。AI安全、超级智能时代线、算力军备竞赛。适用于AI基础设施、半导体、数据中心。
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 231
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
- Packaged: licensed, with a version or references
- 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.