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yoshi-trading

Read Yoshi-Bot signals and generate Kalshi trade suggestions via curl.

Updated Jan 28, 2026
Search Tags:#risk-management#trading#kalshi#monte-carlo#yoshi-bot#forecaster
One-click install
npx skills add https://github.com/DGator86/ClawdBot-V1 --skill yoshi-trading
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: yoshi-trading
Source: https://github.com/DGator86/ClawdBot-V1/tree/main/skills/yoshi-trading
Command: npx skills add https://github.com/DGator86/ClawdBot-V1 --skill yoshi-trading

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Reads signals from the Yoshi-Bot trading engine and generates Kalshi trade suggestions. It also provides status checks, position reviews, and risk-managed proposal flow to keep trading aligned with risk controls.

Core Features & Use Cases

  • Check system status and positions: quickly summarize current activity, health, and exposure.
  • Propose trades with rationale: present Kalshi opportunities with edge analysis and risk context.
  • Run Monte Carlo simulations: evaluate scenarios with the ensemble forecaster to estimate risk and potential payoff.
  • Risk controls & governance: pause, resume, and kill-switch workflows with explicit user confirmation.
  • Barrier-aware decisions: compute Kalshi barrier probabilities to inform contract selection.

Quick Start

Ask me to check Yoshi's status, view open positions, or propose Kalshi trades and I will fetch data from the Yoshi-Bot engine and present actionable trade ideas.

Frequently Asked Questions about yoshi-trading

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate Kalshi trade ideas from trading bot signals?▼

You can generate Kalshi trade ideas by feeding Yoshi-Bot trading engine signals into the system, which then proposes trades with edge analysis, risk context, and barrier probability computations for contract selection.

How does a Monte Carlo simulation help with Kalshi trading risk management?▼

A Monte Carlo simulation evaluates scenarios using an ensemble forecaster to estimate risk and potential payoff, helping you assess barrier probabilities and make risk-managed decisions for Kalshi contract proposals.

Can I pause or stop automated Kalshi trading positions during market hours?▼

Yes, you can pause, resume, or trigger a kill-switch for automated Kalshi trading positions. The system enforces risk governance workflows with explicit user confirmation before executing these control actions.

Do I need a local Trading Core API running to use this Kalshi trade forecaster?▼

Yes, you need a local Trading Core API running at http://127.0.0.1:8000. The system uses curl to retrieve data from this local endpoint for status checks, position reviews, and trade proposals.

What is the best way to review open Kalshi positions and current exposure?▼

The best way to review open Kalshi positions is to request a system status check. The tool fetches data from the Yoshi-Bot engine to summarize current activity, health status, and overall market exposure.

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