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quant-llm-skills

SkillGitHubActivePython

Skills for quant research with LLMs that don't fall for the traps nobody talks about. Lookahead bias, ATM detection, survivorship, transaction-cost realism — 10 skills + 11 reproducible evals showing 8 of them measurably improve Haiku output. Claude Code & Cursor compatible, MIT.

Description provenance: Original source

Open canonical source

Measured: Oct 28, 2026 · 76 observations

Domains & Uses

Domains
Agents, skills and MCP
Uses
Agent skills, Code assistants

Installation

git clone https://github.com/jefrnc/quant-llm-skills ~/.claude/skills/quant-llm-skills

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/jefrnc/quant-llm-skills

Classifications

Nature
Tool

Measurement history

Comparable readings are grouped by signal and unit.

Stars

1stars · Oct 28, 2026

0 (0 %)since Sep 29, 2026

Sep 29, 2026 : 1 starsSep 30, 2026 : 1 starsOct 1, 2026 : 1 starsOct 2, 2026 : 1 starsOct 3, 2026 : 1 starsOct 4, 2026 : 1 starsOct 5, 2026 : 1 starsOct 6, 2026 : 1 starsOct 7, 2026 : 1 starsOct 8, 2026 : 1 starsOct 9, 2026 : 1 starsOct 10, 2026 : 1 starsOct 11, 2026 : 1 starsOct 12, 2026 : 1 starsOct 13, 2026 : 1 starsOct 14, 2026 : 1 starsOct 15, 2026 : 1 starsOct 16, 2026 : 1 starsOct 17, 2026 : 1 starsOct 18, 2026 : 1 starsOct 19, 2026 : 1 starsOct 20, 2026 : 1 starsOct 22, 2026 : 1 starsOct 23, 2026 : 1 starsOct 24, 2026 : 1 starsOct 25, 2026 : 1 starsOct 26, 2026 : 1 starsOct 27, 2026 : 1 starsOct 28, 2026 : 1 stars
Exact values · 29 readings
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