hl-quant
hl-quant is an Investment analysis & markets skill for AI agents, published by toddwyl in the hl-quant repository on GitHub. Skillspace rates hl-quant C (70/100) and it passed the safety scan; the rating is based on static analysis only.
当用户要用启发式学习优化量化交易策略时使用：诊断策略弱点、提出有经济含义的假设、只修改策略文件、用固定回测评分器评估，并按严格门槛决定是否接受。触发词包括“启发式探索”“启发式学习”“HL循环”“策略调参”“回测改进”“优化策略分数”“heuristic exploration”“heuristic learning”。
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 141
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
- 92 / 100
- Maturity
- Structured: ships references or scripts
- 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
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