Digital Oracle
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades
$ npx skills add gooseworks-ai/goose-skills --skill prediction-markets-dome -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills prediction-markets-dome --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/prediction-markets-dome .claude/skills/prediction-markets-dome && 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 "prediction-markets-dome" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/prediction-markets-dome into .claude/skills/prediction-markets-dome/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prediction-markets-dome", 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/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/prediction-markets-domeType 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 gooseworks-ai/goose-skills --skill prediction-markets-dome -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills prediction-markets-dome --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-tools/capabilities/prediction-markets-dome .agents/skills/prediction-markets-dome && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prediction-markets-dome" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/prediction-markets-dome into .agents/skills/prediction-markets-dome/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prediction-markets-dome", 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 gooseworks-ai/goose-skills --skill prediction-markets-dome -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills prediction-markets-dome --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-tools/capabilities/prediction-markets-dome .cursor/skills/prediction-markets-dome && 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 "prediction-markets-dome" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/prediction-markets-dome into .cursor/skills/prediction-markets-dome/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prediction-markets-dome", 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/gooseworks-ai/goose-skills.git --path skills/research-tools/capabilities/prediction-markets-dome--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 gooseworks-ai/goose-skills --skill prediction-markets-dome -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills prediction-markets-dome --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-tools/capabilities/prediction-markets-dome .gemini/skills/prediction-markets-dome && 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 "prediction-markets-dome" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/prediction-markets-dome into .gemini/skills/prediction-markets-dome/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prediction-markets-dome", 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 gooseworks-ai/goose-skills prediction-markets-domeInstalls 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 gooseworks-ai/goose-skills --skill prediction-markets-dome -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-tools/capabilities/prediction-markets-dome .github/skills/prediction-markets-dome && 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 "prediction-markets-dome" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/prediction-markets-dome into .github/skills/prediction-markets-dome/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prediction-markets-dome", 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 gooseworks-ai/goose-skills --skill prediction-markets-dome -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills prediction-markets-dome --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-tools/capabilities/prediction-markets-dome .opencode/skills/prediction-markets-dome && 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 "prediction-markets-dome" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/prediction-markets-dome into .opencode/skills/prediction-markets-dome/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prediction-markets-dome", 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.
prediction-markets-domePrediction markets data - Polymarket, Kalshi markets, prices, positions, and trades
Prediction Markets Dome is an agent skill from gooseworks-ai/goose-skills. Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Business, Finance & HR. It works with Kalshi, Polymarket and Binance. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. 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.
Shell commands in SKILL.md call:
curlpython3npxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.gooseworks.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GOOSEWORKS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Prediction Markets Dome loads about 4.8k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 1,913 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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,913 words, ~4,796 tokens.
.claude/skills/prediction-markets-dome/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Access data from Polymarket and Kalshi prediction markets.
Fetches historical orderbook snapshots for a specific Kalshi market (ticker) over a specified time range. If no start_time and end_time are provided, returns the latest orderbook snapshot for the market.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/kalshi/orderbooks","query":{"ticker":"{ticker}"}}'Fetches the current market price for a market by token_id. Allows historical lookups via the at_time query parameter.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/market-price/{token_id}"}'Fetches the current market price for a Kalshi market by market_ticker. Returns prices for both yes and no sides. Allows historical lookups via the at_time query parameter.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/kalshi/market-price/{market_ticker}"}'Fetches historical trade data for Kalshi markets with optional filtering by ticker and time range. Returns executed trades with pricing, volume, and taker side information. All timestamps are in seconds.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/kalshi/trades","query":{"ticker":"{ticker}"}}'Find equivalent markets across different prediction market platforms (Polymarket, Kalshi, etc.) for sports events by sport and date.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/matching-markets/sports/nba","query":{"date":"2024-03-01"}}'Find equivalent markets across different prediction market platforms (Polymarket, Kalshi, etc.) for sports events using a Polymarket market slug or a Kalshi event ticker.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/matching-markets/sports"}'Fetches all Polymarket positions for a proxy wallet address. Returns positions with balance >= 10,000 shares (0.01 normalized) with market info.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/positions/wallet/{wallet_address}"}'Fetches historical crypto price data from Binance. Returns price data for a specific currency pair over an optional time range. When no time range is provided, returns the most recent price. All timestamps are in Unix milliseconds.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/crypto-prices/binance","query":{"currency":"btcusdt"}}'Fetches activity data for a specific user with optional filtering by market, condition, and time range. Returns trading activity including MERGES, SPLITS, and REDEEMS.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/activity","query":{"user":"{wallet_address}"}}'Find markets on Polymarket using various filters including the ability to search
Parameters:
<string>) - Filter markets by status (whether they're open or closed)curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/markets","query":{"search":"election"}}'Fetches historical orderbook snapshots for a specific asset (token ID) over a specified time range. If no start_time and end_time are provided, returns the latest orderbook snapshot for the market.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/orderbooks","query":{"token_id":"{token_id}"}}'Fetches wallet information by providing either an EOA (Externally Owned Account) address or a proxy wallet address. Returns the associated EOA, proxy, and wallet type. Optionally returns trading metrics including total volume, number of trades, and unique markets traded when with_metrics=true.
Parameters:
<string>) - Whether to include wallet trading metrics (total volume, trades, and markets). Pass true to include metrics. Metrics are computed only when explicitly requested for performance reasons.curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/wallet","query":{"address":"{wallet_address}"}}'Fetches historical candlestick data for a market identified by condition_id, over a specified interval.
Parameters:
<integer>) - Interval length: 1 = 1m, 60 = 1h, 1440 = 1d. Defaults to 1m. ⚠️ Note: There are range limits for interval — specifically: 1 (1m): max range 1 week 60 (1h): max range 1 month 1440 (1d): max range 1 yearcurl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/candlesticks/{condition_id}","query":{"interval":"1h"}}'Fetches historical crypto price data from Chainlink. Returns price data for a specific currency pair over an optional time range. When no time range is provided, returns the most recent price. All timestamps are in Unix milliseconds. Currency format: slash-separated (e.g., btc/usd, eth/usd).
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/crypto-prices/chainlink","query":{"currency":"btc/usd"}}'Fetches the realized profit and loss (PnL) for a specific wallet address over a specified time range and granularity. Note: This will differ to what you see on Polymarket’s dashboard since Polymarket showcases historical unrealized PnL.
Parameters:
<string>) - Example: "day"curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/wallet/pnl/{wallet_address}"}'Fetches historical trade data with optional filtering by market, condition, token, time range, and user’s wallet address.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/polymarket/orders","query":{"market":"{market_id}"}}'Find markets on Kalshi using various filters including market ticker, event ticker, status, and volume
Parameters:
<string>) - Filter markets by status (whether they're open or closed)curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/kalshi/markets","query":{"search":"fed%20rate"}}'For full endpoint details and parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"dome API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"dome","path":"/kalshi/orderbooks"}' # Get endpoint details© gooseworks-ai, 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 skills/research-tools/capabilities/prediction-markets-dome of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.
Prediction Markets Dome 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 |
|---|---|---|---|---|---|---|
| Prediction Markets Dome this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~4.8k | 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 | |
| Fintoolsecond-state/fintool | 316 | — | ~5.9k | Automated safety check: Pass | None | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Feedsalsk1992/CloddsBot | 3k | — | ~1.8k | 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.
second-state/fintool
Financial trading CLIs — spot and perp trading on Hyperliquid, Binance, Coinbase, OKX.
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.
alsk1992/CloddsBot
Real-time market data feeds from 8 prediction market platforms
alsk1992/CloddsBot
Sync portfolio positions from Polymarket, Kalshi, and Manifold
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Categories
Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades. Prediction Markets Dome is an agent skill from gooseworks-ai/goose-skills.
Prediction Markets Dome fits situations like: business, Finance & HR work in your project.
Run `npx skills add gooseworks-ai/goose-skills --skill prediction-markets-dome -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/prediction-markets-dome in gooseworks-ai/goose-skills) into .claude/skills/prediction-markets-dome in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill prediction-markets-dome -a codex`. Or copy the skill folder (skills/research-tools/capabilities/prediction-markets-dome in gooseworks-ai/goose-skills) into .agents/skills/prediction-markets-dome 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 gooseworks-ai/goose-skills --skill prediction-markets-dome -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prediction-markets-dome, .gemini/skills/prediction-markets-dome, .github/skills/prediction-markets-dome and .opencode/skills/prediction-markets-dome in your project.
Going by SKILL.md and its folder, Prediction Markets Dome needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.
SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. 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.
Prediction Markets Dome is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.8k tokens (SKILL.md is roughly 19k 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 Prediction Markets Dome: Digital Oracle (komako-workshop/digital-oracle, 878 stars), Dr Manhattan (guzus/dr-manhattan, 204 stars), Fintool (second-state/fintool, 316 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.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.