Digital Oracle
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
Kalshi trading - search markets, place orders, stream prices, advanced order types
$ npx skills add alsk1992/CloddsBot --skill trading-kalshi -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alsk1992/CloddsBot trading-kalshi --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alsk1992/CloddsBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/bundled/trading-kalshi .claude/skills/trading-kalshi && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "trading-kalshi" agent skill from https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/trading-kalshi into .claude/skills/trading-kalshi/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-kalshi", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/trading-kalshiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alsk1992/CloddsBot --skill trading-kalshi -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alsk1992/CloddsBot trading-kalshi --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alsk1992/CloddsBot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/skills/bundled/trading-kalshi .agents/skills/trading-kalshi && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trading-kalshi" agent skill from https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/trading-kalshi into .agents/skills/trading-kalshi/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-kalshi", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alsk1992/CloddsBot --skill trading-kalshi -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alsk1992/CloddsBot trading-kalshi --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alsk1992/CloddsBot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/skills/bundled/trading-kalshi .cursor/skills/trading-kalshi && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trading-kalshi" agent skill from https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/trading-kalshi into .cursor/skills/trading-kalshi/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-kalshi", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alsk1992/CloddsBot.git --path src/skills/bundled/trading-kalshi--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alsk1992/CloddsBot --skill trading-kalshi -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alsk1992/CloddsBot trading-kalshi --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alsk1992/CloddsBot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/skills/bundled/trading-kalshi .gemini/skills/trading-kalshi && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "trading-kalshi" agent skill from https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/trading-kalshi into .gemini/skills/trading-kalshi/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-kalshi", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alsk1992/CloddsBot trading-kalshiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alsk1992/CloddsBot --skill trading-kalshi -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alsk1992/CloddsBot.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/skills/bundled/trading-kalshi .github/skills/trading-kalshi && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "trading-kalshi" agent skill from https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/trading-kalshi into .github/skills/trading-kalshi/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-kalshi", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alsk1992/CloddsBot --skill trading-kalshi -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alsk1992/CloddsBot trading-kalshi --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alsk1992/CloddsBot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/skills/bundled/trading-kalshi .opencode/skills/trading-kalshi && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trading-kalshi" agent skill from https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/trading-kalshi into .opencode/skills/trading-kalshi/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-kalshi", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
trading-kalshiKalshi trading - search markets, place orders, stream prices, advanced order types
Trading Kalshi is an agent skill from alsk1992/CloddsBot. Kalshi trading - search markets, place orders, stream prices, advanced order types
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `index.ts`).
It sits in Business, Finance & HR, covering Trading and backtesting. It works with Kalshi. The repository describes itself as: Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes… The licence is MIT.
Read from SKILL.md and the folder at commit c930628. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (TypeScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
KALSHI_API_KEY_IDKALSHI_PRIVATE_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Trading Kalshi loads about 856 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 95 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from alsk1992/CloddsBot at commit c930628, republished under its MIT licence (© alsk1992). 95 words, ~856 tokens.
.claude/skills/trading-kalshi/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Full access to Kalshi prediction markets: search, trade, stream real-time data, and use advanced order types (TWAP, bracket, trigger).
KALSHI_API_KEY_ID=your_api_key_id
KALSHI_PRIVATE_KEY=your_private_key_pem_contents
# OR
KALSHI_PRIVATE_KEY_PATH=/path/to/private_key.pemAuthentication uses RSA key-pair signing (not email/password). Generate an API key from the Kalshi dashboard.
Optional:
DRY_RUN=true # Simulate trades without executing/kalshi search <query> - Search markets
/kalshi market <ticker> - Market details
/kalshi book <ticker> - View orderbook (REST snapshot)
/kalshi events [query] - Browse events
/kalshi event <event-ticker> - Event details + markets/kalshi buy <ticker> <contracts> <price> - Buy YES contracts
/kalshi sell <ticker> <contracts> <price> - Sell YES contracts
/kalshi orders - View open orders
/kalshi cancel <order-id> - Cancel an order
/kalshi cancel all - Cancel all orders
/kalshi balance - Account balance/kalshi twap <buy|sell> <ticker> <total> <price> [slices] [interval-sec]
/kalshi twap status - Active TWAP progress
/kalshi twap cancel <id> - Cancel TWAP
/kalshi bracket <ticker> <size> <tp> <sl> - Set take-profit / stop-loss
/kalshi bracket status - Active brackets
/kalshi bracket cancel <id> - Cancel bracket
/kalshi trigger buy <ticker> <size> <price> [limit] - Buy when price drops
/kalshi trigger sell <ticker> <size> <price> [limit] - Sell when price rises
/kalshi trigger list - Active triggers
/kalshi trigger cancel <id> - Cancel trigger/kalshi stream <ticker> [channels] - Start streaming (ticker,trade,orderbook)
/kalshi stream-fills - Stream your order fills
/kalshi streams - List active streams
/kalshi unstream <ticker> - Stop streaming a market
/kalshi unstream-fills - Stop fill notifications
/kalshi realtime-book <ticker> - Get real-time orderbook from stream/kalshi route <ticker> <buy|sell> <size> - Compare prices across platforms
/kalshi circuit - Circuit breaker status/kalshi search bitcoin
/kalshi market KXBTC-24JAN01
/kalshi book KXBTC-24JAN01
/kalshi buy KXBTC-24JAN01 10 0.65
/kalshi sell KXBTC-24JAN01 5 0.70
/kalshi stream KXBTC-24JAN01 ticker,trade
/kalshi twap buy KXBTC-24JAN01 50 0.60 10 30
/kalshi bracket KXBTC-24JAN01 10 0.80 0.40
/kalshi trigger buy KXBTC-24JAN01 10 45© alsk1992, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in src/skills/bundled/trading-kalshi of alsk1992/CloddsBot.
Open the folder on GitHubat commit c930628
Trading Kalshi next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trading Kalshi this skillalsk1992/CloddsBot | 3k | — | ~856 | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Dr Manhattanguzus/dr-manhattan | 204 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Kalshi Traderyanfrigo/kalshi-ai-trading-bot | 613 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Prediction Market Strategyagiprolabs/claude-trading-skills | 410 | — | ~3.4k | Automated safety check: Pass | MIT |
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
guzus/dr-manhattan
Trade prediction markets (Polymarket, Kalshi, Opinion, Limitless, Predict.fun) using a unified CCXT-style API.
ryanfrigo/kalshi-ai-trading-bot
The disciplined process for autonomously and profitably trading the live Kalshi account on each /loop tick, with Claude as the decision-maker.
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
agiprolabs/claude-trading-skills
Venue- and market-type-agnostic strategy, sizing, and backtesting layer for binary prediction markets (Kalshi, Polymarket, ForecastEx).
agiprolabs/claude-trading-skills
A skill your agent uses when building, backtesting, operating, or scaling automated trading on prediction markets (Kalshi or similar) — evidence-gated methodology, live-execution safety rails, and…
alsk1992/CloddsBot
Local hybrid search for markdown notes and docs. An agent skill from alsk1992/CloddsBot.
alsk1992/CloddsBot
AI Strategy - natural language to trades. An agent skill from alsk1992/CloddsBot.
alsk1992/CloddsBot
Create and manage price alerts for prediction markets. An agent skill from alsk1992/CloddsBot.
alsk1992/CloddsBot
Performance attribution, trade analytics, and strategy optimization
alsk1992/CloddsBot
Automated cross-platform arbitrage detection and monitoring. An agent skill from alsk1992/CloddsBot.
alsk1992/CloddsBot
Automatic response rules, patterns, and scheduled messages. An agent skill from alsk1992/CloddsBot.
Works with
Categories
Kalshi trading - search markets, place orders, stream prices, advanced order types. Trading Kalshi is an agent skill from alsk1992/CloddsBot.
Trading Kalshi fits situations like: tasks that involve Trading and backtesting.
Run `npx skills add alsk1992/CloddsBot --skill trading-kalshi -a claude-code`. Or copy the skill folder (src/skills/bundled/trading-kalshi in alsk1992/CloddsBot) into .claude/skills/trading-kalshi in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alsk1992/CloddsBot --skill trading-kalshi -a codex`. Or copy the skill folder (src/skills/bundled/trading-kalshi in alsk1992/CloddsBot) into .agents/skills/trading-kalshi in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alsk1992/CloddsBot --skill trading-kalshi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trading-kalshi, .gemini/skills/trading-kalshi, .github/skills/trading-kalshi and .opencode/skills/trading-kalshi in your project.
Going by SKILL.md and its folder, Trading Kalshi needs TypeScript for the scripts in its folder and credentials named KALSHI_API_KEY_ID and KALSHI_PRIVATE_KEY. Our summary lists: Node.js; A credential in KALSHI_PRIVATE_KEY.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Trading Kalshi is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 856 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Trading Kalshi: Digital Oracle (komako-workshop/digital-oracle, 878 stars), Dr Manhattan (guzus/dr-manhattan, 204 stars), Kalshi Trade (ryanfrigo/kalshi-ai-trading-bot, 613 stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alsk1992 (a GitHub user) maintains it in alsk1992/CloddsBot, which has 2,951 GitHub stars. The repository holds 116 skills in this directory. The repository was last updated on October 2, 2026.
Source: alsk1992/CloddsBot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.