菜单
Read-only Kalshi OpenAPI scouting skill for market discovery, liquidity checks, and market validation. Use for scanning and ranking Kalshi opportunities. Pair with a separate paper-trading skill if you want open/close execution.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill kalshi-trading命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
监控 OpenClaw GitHub 版本更新，获取最新版本发布说明，翻译成中文， 并推送到 Telegram 和 Feishu。用于：(1) 定时检查版本更新 (2) 推送版本更新通知 (3) 生成中文版发布说明
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
基于 SOC 职业分类
| name | kalshi-trading |
| description | Read-only Kalshi OpenAPI scouting skill for market discovery, liquidity checks, and market validation. Use for scanning and ranking Kalshi opportunities. Pair with a separate paper-trading skill if you want open/close execution. |
Use this skill for Kalshi scouting and market validation only.
Exchange status:
node skills/kalshi-trading/scripts/kalshi_openapi_reader.mjs status --pretty
Broad market scan:
node skills/kalshi-trading/scripts/kalshi_openapi_reader.mjs markets --status open --limit 1000 --pretty
node skills/kalshi-trading/scripts/kalshi_openapi_reader.mjs events --limit 100 --pretty
node skills/kalshi-trading/scripts/kalshi_openapi_reader.mjs series --limit 400 --pretty
Focused validation:
node skills/kalshi-trading/scripts/kalshi_openapi_reader.mjs market --ticker <TICKER> --pretty
node skills/kalshi-trading/scripts/kalshi_openapi_reader.mjs trades --ticker <TICKER> --limit 200 --pretty
node skills/kalshi-trading/scripts/kalshi_openapi_reader.mjs orderbook --ticker <TICKER> --pretty
If you want paper open/close workflows, install and use a separate paper-trading skill that provides the execution script. This Kalshi skill can supply candidate/market data to that separate skill.
node --experimental-strip-types skills/paper-trading/scripts/paper_trading.ts status --account kalshi --format json --pretty
Optional override (defaults to Kalshi production API):
export KALSHI_BASE_URL="https://api.elections.kalshi.com/trade-api/v2"
Run the Kalshi reader smoke tests:
node --test skills/kalshi-trading/tests/kalshi_openapi_reader.test.mjs