OpenClaw

kalshi

Read-only Kalshi prediction market integration. Use for viewing markets, checking portfolio positions, analyzing prediction opportunities, and finding high-payoff/high-certainty trades. Triggers on Kalshi, prediction markets, event contracts, or trading recommendations.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install henrik-openclaw/kalshi

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Kalshi Prediction Markets

Read-only integration with Kalshi's prediction market API.

Capabilities

Browse markets: List active events and markets by category
Market analysis: Get prices, volumes, orderbook depth
Portfolio view: Check positions and P&L (requires API key)
Trade recommendations: Find high-certainty, high-payoff opportunities

Setup

Install dependencies:

pip install requests cryptography

For portfolio access (RSA key signing required):

Go to kalshi.com/account/profile
Create new API key → save the Key ID and download the private key
Store credentials:

mkdir -p ~/.kalshi
mv ~/Downloads/your-key-file.txt ~/.kalshi/private_key.pem
chmod 600 ~/.kalshi/private_key.pem

Create ~/.kalshi/credentials.json:

{
  "api_key_id": "your-key-id-here",
  "private_key_path": "~/.kalshi/private_key.pem"
}

Or run interactive setup:

python scripts/kalshi_portfolio.py setup

Scripts

Market Data (No Auth Required)

# List trending markets
python scripts/kalshi_markets.py trending

# Search markets by query
python scripts/kalshi_markets.py search "bitcoin"

# Get specific market details
python scripts/kalshi_markets.py market TICKER

# Find high-value opportunities
python scripts/kalshi_markets.py opportunities

Portfolio (Auth Required)

# View positions
python scripts/kalshi_portfolio.py positions

# View balance
python scripts/kalshi_portfolio.py balance

# Trade history
python scripts/kalshi_portfolio.py history

Opportunity Analysis

The opportunities command identifies markets where:

High certainty: Price ≥85¢ YES or ≤15¢ YES (implies 85%+ confidence)
Meaningful payoff: Potential return ≥10% on capital
Sufficient liquidity: Orderbook depth supports reasonable position size

Formula: expected_value = probability * payoff - (1 - probability) * cost

A good opportunity...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/henrik-openclaw/kalshi
Version: —
Commit: 6234a00ed3c7bc610c90042b54e0d1fd80a7b18e
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Kalshi Prediction Markets

Read-only integration with Kalshi's prediction market API.

## Capabilities

- **Browse markets**: List active events and markets by category
- **Market analysis**: Get prices, volumes, orderbook depth
- **Portfolio view**: Check positions and P&L (requires API key)
- **Trade recommendations**: Find high-certainty, high-payoff opportunities

## Setup

Install dependencies:
```bash
pip install requests cryptography
```

For portfolio access (RSA key signing required):

1. Go to [kalshi.com/account/profile](https://kalshi.com/account/profile)
2. Create new API key → save the **Key ID** and download the **private key**
3. Store credentials:

```bash
mkdir -p ~/.kalshi
mv ~/Downloads/your-key-file.txt ~/.kalshi/private_key.pem
chmod 600 ~/.kalshi/private_key.pem
```

4. Create `~/.kalshi/credentials.json`:
```json
{
  "api_key_id": "your-key-id-here",
  "private_key_path": "~/.kalshi/private_key.pem"
}
```

Or run interactive setup:
```bash
python scripts/kalshi_portfolio.py setup
```

## Scripts

### Market Data (No Auth Required)

```bash
# List trending markets
python scripts/kalshi_markets.py trending

# Search markets by query
python scripts/kalshi_markets.py search "bitcoin"

# Get specific market details
python scripts/kalshi_markets.py market TICKER

# Find high-value opportunities
python scripts/kalshi_markets.py opportunities
```

### Portfolio (Auth Required)

```bash
# View positions
python scripts/kalshi_portfolio.py positions

# View balance
python scripts/kalshi_portfolio.py balance

# Trade history
python scripts/kalshi_portfolio.py history
```

## Opportunity Analysis

The `opportunities` command identifies markets where:
- **High certainty**: Price ≥85¢ YES or ≤15¢ YES (implies 85%+ confidence)
- **Meaningful payoff**: Potential return ≥10% on capital
- **Sufficient liquidity**: Orderbook depth supports reasonable position size

Formula: `expected_value = probability * payoff - (1 - probability) * cost`

A good opportunity...

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