dsh-rigorquant
RigorQuant preset + skill pack: unattended walled multi-agent research for empirical and computational mathematics (economics, finance, portfolio), with a four-part pre-implementation check battery and a jacobian/Lean escalation lane.
RigorQuant 预设与技能包：面向实证与计算数学（经济学、金融、组合）的无人值守隔离多智能体研究，内置四重实现前校验与 jacobian/Lean 升级通道。
How to install
dsh plugin add dsh-rigorquant About
dsh-rigorquant **English** | 简体中文 Unattended-within-a-session, long-running **empirical/computational mathematics research** for DeepSeek Harness — economics, finance, portfolio construction/optimization, simulation, computational econ/finance. RigorQuant is an agent preset + bundled skill that turns one DSH session into a context-isolated multi-agent research lab: **Parallel explorers** propose candidate methods (subagent, blank context). A **ground-truth track** re-derives the analytic closed forms, invariants, and bounds for simplified cases — twice, by different means (two independent suba…
Recommendation signals
Meta
- License
- MIT
- Language
- Python
- GitHub stars
- 5
- mo. downloads
- 202
- Last push
- 2026-09-24
- Created
- 2026-08-14
Links
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin, curated:0xsline/awesome-deepseek-harness
- Topics
- dsh-plugin
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