quant-trading-researcher

quant-trading-researcher is an Investment analysis & markets skill for AI agents, published by AndrewNgGirl in the SkillLens repository on GitHub. Skillspace rates quant-trading-researcher B (81/100) and it passed the safety scan; the rating is based on static analysis only.

Use when quant researchers or strategy developers need to evaluate factor ideas, backtest validity, statistical reliability, trading costs, implementation risk, and live monitoring readiness before paper trading or limited production deployment.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
69

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
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

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