Agent skill

Moonpay Scout

Prediction market arbitrage & alpha scout. An agent skill from moonpay/skills.

MITAuto-check passedBusiness, Finance & HR

Install Moonpay Scout

skills CLI

$ npx skills add moonpay/skills --skill moonpay-scout -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install moonpay/skills moonpay-scout --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/moonpay/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/moonpay-scout .claude/skills/moonpay-scout && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "moonpay-scout" agent skill from https://github.com/moonpay/skills/tree/main/skills/moonpay-scout into .claude/skills/moonpay-scout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moonpay-scout", 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

$skill-installer install https://github.com/moonpay/skills/tree/main/skills/moonpay-scout

Type 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.

skills CLI

$ npx skills add moonpay/skills --skill moonpay-scout -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install moonpay/skills moonpay-scout --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moonpay/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/moonpay-scout .agents/skills/moonpay-scout && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "moonpay-scout" agent skill from https://github.com/moonpay/skills/tree/main/skills/moonpay-scout into .agents/skills/moonpay-scout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moonpay-scout", 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.

skills CLI

$ npx skills add moonpay/skills --skill moonpay-scout -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install moonpay/skills moonpay-scout --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moonpay/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/moonpay-scout .cursor/skills/moonpay-scout && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "moonpay-scout" agent skill from https://github.com/moonpay/skills/tree/main/skills/moonpay-scout into .cursor/skills/moonpay-scout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moonpay-scout", 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

$ gemini skills install https://github.com/moonpay/skills.git --path skills/moonpay-scout

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add moonpay/skills --skill moonpay-scout -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install moonpay/skills moonpay-scout --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moonpay/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/moonpay-scout .gemini/skills/moonpay-scout && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "moonpay-scout" agent skill from https://github.com/moonpay/skills/tree/main/skills/moonpay-scout into .gemini/skills/moonpay-scout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moonpay-scout", 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.

GitHub CLI

$ gh skill install moonpay/skills moonpay-scout

Installs 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).

skills CLI

$ npx skills add moonpay/skills --skill moonpay-scout -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/moonpay/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/moonpay-scout .github/skills/moonpay-scout && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "moonpay-scout" agent skill from https://github.com/moonpay/skills/tree/main/skills/moonpay-scout into .github/skills/moonpay-scout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moonpay-scout", 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.

skills CLI

$ npx skills add moonpay/skills --skill moonpay-scout -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install moonpay/skills moonpay-scout --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moonpay/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/moonpay-scout .opencode/skills/moonpay-scout && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "moonpay-scout" agent skill from https://github.com/moonpay/skills/tree/main/skills/moonpay-scout into .opencode/skills/moonpay-scout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moonpay-scout", 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.

Facts

Skill name: moonpay-scout
GitHub stars: 113
Token cost: ~1.7k tokens
SKILL.md length: 521 words
Files: 1
Skills in repo: 39
Repo updated: Sep 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Prediction market arbitrage & alpha scout. An agent skill from moonpay/skills.

Works in 6 steps: SCAN both platforms in parallel → FIND MATCHES → RUN THE ARB MATH → …
Asked to find arb
SKILL.md covers Step 1 — SCAN both platforms…, Step 2 — FIND MATCHES, Step 3 — RUN THE ARB MATH and Step 4 — RANK OPPORTUNITIES, plus 6 more sections
Calls npm

What it does

Moonpay Scout is an agent skill from moonpay/skills. Prediction market arbitrage & alpha scout. Searches Polymarket and Kalshi for the same event, runs cross-platform arb math (including fees), and ranks opportunities by profitability. Use when asked to "find arb", "scout markets", "find edge", or scan a specific topic across prediction markets.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. It works with Kalshi and Polymarket. The repository describes itself as: Skills for AI agents to move money — on-ramps, swaps, wallets, deposits, and more via the MoonPay CLI. The licence is MIT.

When your agent uses it

Asked to find arb
Scan a specific topic across prediction markets

Example prompts

“find arb”
“scout markets”
“find edge”
“/moonpay-scout”

Requirements

Node.js

Workflow steps

6 steps, taken from the step headings in SKILL.md.

SCAN both platforms in parallel
FIND MATCHES
RUN THE ARB MATH
RANK OPPORTUNITIES
EXECUTE BEST OPPORTUNITY
FINAL REPORT

What it can do on your machine

Read from SKILL.md and the folder at commit aa672ab. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
- npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Moonpay Scout loads about 1.7k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 521 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~77
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from moonpay/skills at commit aa672ab, republished under its MIT licence (© moonpay). 521 words, ~1,716 tokens.

Download SKILL.mdSave it as .claude/skills/moonpay-scout/SKILL.md (or your agent's skills folder).

name: moonpay-scout
description: Prediction market arbitrage & alpha scout. Searches Polymarket and Kalshi for the same event, runs cross-platform arb math (including fees), and ranks opportunities by profitability. Use when asked to "find arb", "scout markets", "find edge", or scan a specific topic across prediction markets.
tags: prediction-markets, polymarket, kalshi, arbitrage, trading

Prediction Market Arbitrage & Alpha Scout

You are a cross-platform prediction market arbitrage agent. Your job is to find mathematically provable edge — either pure arbitrage (risk-free profit) or high-conviction alpha (structural mispricing) — across Polymarket and Kalshi.

Topic to scout: {{args}} (if empty, scan trending on both platforms)

Step 1 — SCAN both platforms in parallel

If a topic is given, search both Polymarket and Kalshi for {{args}} simultaneously. If no topic, pull trending from both platforms (limit 8 each).

Print:

🔍 SCANNING Polymarket + Kalshi for "{{args}}"...

Step 2 — FIND MATCHES

Look for markets on both platforms betting on the same underlying event — even if worded differently. For each candidate pair, extract:

The Yes price on Polymarket (bid and ask)
The Yes price on Kalshi (bid and ask)
Liquidity on both sides
Resolution date on both sides

Print each match found:

🔗 MATCH: [Event Name]
   Polymarket: [question]  Yes bid/ask @ [X]/[Y]¢  liq: $[Z]  ends: [date]
   Kalshi:     [question]  Yes bid/ask @ [X]/[Y]¢  liq: $[Z]  ends: [date]

Step 3 — RUN THE ARB MATH

For each matched pair, calculate both arb directions. This is the core of the agent.

Pure Arbitrage Check

Direction A: Buy Yes Poly + Buy No Kalshi
  Cost = P_yes_poly_ask + (1 - P_yes_kalshi_bid)
  Payout = 0.98  (Polymarket charges 2% on winning positions)
  Edge = Payout - Cost

Direction B: Buy No Poly + Buy Yes Kalshi
  Cost = (1 - P_yes_poly_bid) + P_yes_kalshi_ask
  Payout = 1.00  (Kalshi no fee on payout)
  Edge = Payout - Cost

Always use bid/ask prices, not mid — mid prices are not executable. If only mid is available, assume 1¢ spread each side.

If either direction has positive Edge after fees, flag it loudly:

🚨 ARB FOUND: [event]
   Direction [A/B]: buy [side] Poly @ [X]¢ + buy [side] Kalshi @ [Y]¢ = [total]¢
   Guaranteed profit: [Z]¢ per share (~[Z]% return, after fees)
   ⚠️  Verify: same resolution criteria? same timeframe?

Resolution Date Adjustment

If markets resolve at different dates:

⏱️  DATE MISMATCH: Poly ends [date1], Kalshi ends [date2]  (gap: [N] days)
   Treating as SOFT arb — risk window is [date1]–[date2]

If No Pure Arb — Find Alpha Instead

Calculate the gap and identify which platform is mispriced:

📐 GAP ANALYSIS: [event]
   Poly Yes: [X]¢  Kalshi Yes: [Y]¢  Raw gap: [Z]¢
   Best direction cost: [C]¢  (need <98¢ for profit after Poly fee)
   Distance from arb: [98 - C]¢

Reason about informational edge:

Kalshi edge: US domestic events (Fed, elections, policy), sports
Polymarket edge: Geopolitics, crypto prices, international news, fast-moving events
Volume signal: Higher volume = more informed price. When Kalshi volume >> Polymarket on the same event, fade Polymarket toward Kalshi
Momentum: Use 1-week price history on the top Polymarket outcome — is it moving toward or away from Kalshi?

Output the alpha thesis:

💡 ALPHA: [event]
   Mispriced side: [Poly/Kalshi] has [X]¢ vs counterpart [Y]¢
   Who has edge: [which user base knows this better, and why]
   Momentum: [rising/falling/stable on Polymarket this week]
   Trade: Buy [Yes/No] on [platform] @ [price]¢
   Edge: ~[Z]¢ if thesis correct | Risk: [Z]¢ if wrong
   Conviction: [HIGH/MEDIUM/LOW] — [one sentence why]

Step 4 — RANK OPPORTUNITIES

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RANK  TYPE         EVENT                         EDGE    CONVICTION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 1    PURE ARB     [event]                        +5¢    RISK-FREE
 2    SOFT ARB     [event]                        +8¢    HIGH
 3    ALPHA        [event]                       +12¢    MEDIUM
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Rank by:

Pure arb (risk-free, same resolution date) — always trade these
Soft arb (positive math, date gap ≤30 days) — trade with caution
High-conviction alpha (gap ≥5¢, clear informational edge, liq >$10K)
Low-conviction alpha — flag only

Show full SKILL.md (202 more words)Show less

Step 5 — EXECUTE BEST OPPORTUNITY

We can only execute the Polymarket leg directly. Kalshi legs must be placed manually.

If pure arb:

🚨 PURE ARB — executing Polymarket leg now
   Manual Kalshi leg: Buy [Yes/No] on "[market]" @ [price]¢

If alpha:

💡 ALPHA TRADE
   Buy [Yes/No] on "[market question]"
   Price: [X]¢ | Size: $10 | Shares: ~[N] | Wallet: main

Ask: Execute Polymarket leg? (yes to proceed)

If yes, place the position using the tokenId and main wallet via:

bash

mp prediction-market position buy \
  --wallet main \
  --provider polymarket \
  --tokenId <token-id> \
  --price <price> \
  --size <shares>

Step 6 — FINAL REPORT

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 SCOUT REPORT — [topic] — [date]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Markets scanned:   [N] Polymarket  |  [N] Kalshi
Matches found:     [N]
Pure arbs found:   [N]
Best opportunity:  [type] on [event]  →  [edge]¢
Position taken:    [yes: details] / [no: why skipped]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Agent Rules

Always do the math first — full arb check (both directions, both fees) before qualitative reasoning
Use bid/ask, not mid — mid prices are not executable
Polymarket fee = 2% on winning positions → payout is 0.98, not 1.00
Minimum liquidity to trade: $10K on Polymarket side
Flag date mismatches >30 days — not a true arb
Pull price history only for top 1–2 candidates
Show all math explicitly — no black-box conclusions

Prerequisites

MoonPay CLI installed: npm i -g @moonpay/cli
Authenticated: mp login → mp verify
Wallet funded with USDC.e on Polygon (for Polymarket trades)
Wallet registered with Polymarket: mp prediction-market user create --provider polymarket --wallet <evm-address>

MoonPay Integration

Uses mp prediction-market commands for all market search, price history, and position execution on Polymarket. The MoonPay wallet handles USDC.e signing and submission on Polygon.

moonpay-prediction-market — Core prediction market commands (search, buy, sell, PnL)
moonpay-fund-polymarket — Fund wallet with USDC.e and POL for gas
moonpay-check-wallet — Verify balances before trading

Files

Just SKILL.md in skills/moonpay-scout of moonpay/skills.

Open the folder on GitHubat commit aa672ab

Compare with similar skills

Moonpay Scout 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.

Moonpay Scout compared with similar skills
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Questions about Moonpay Scout

What does Moonpay Scout do?

Prediction market arbitrage & alpha scout. An agent skill from moonpay/skills. Moonpay Scout is an agent skill from moonpay/skills. Prediction market arbitrage & alpha scout.

When should I use Moonpay Scout?

Moonpay Scout fits situations like: asked to find arb; scan a specific topic across prediction markets.

How do I install Moonpay Scout in Claude Code?

Run `npx skills add moonpay/skills --skill moonpay-scout -a claude-code`. Or copy the skill folder (skills/moonpay-scout in moonpay/skills) into .claude/skills/moonpay-scout in your project. Claude Code loads it when a task matches its description.

How do I install Moonpay Scout in Codex?

Run `npx skills add moonpay/skills --skill moonpay-scout -a codex`. Or copy the skill folder (skills/moonpay-scout in moonpay/skills) into .agents/skills/moonpay-scout in your project. Codex loads it when a task matches its description.

Can I use Moonpay Scout in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add moonpay/skills --skill moonpay-scout -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/moonpay-scout, .gemini/skills/moonpay-scout, .github/skills/moonpay-scout and .opencode/skills/moonpay-scout in your project.

What does Moonpay Scout need to run?

Going by SKILL.md and its folder, Moonpay Scout needs the command-line tools its instructions call (npm). Our summary lists: Node.js.

Does Moonpay Scout access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Moonpay Scout safe to install?

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.

What licence does Moonpay Scout use?

Moonpay Scout is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Moonpay Scout use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Moonpay Scout?

Skills that share tags, products or a category with Moonpay Scout: Digital Oracle (komako-workshop/digital-oracle, 870 stars), Dr Manhattan (guzus/dr-manhattan, 204 stars), Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars) and Markets (machina-sports/sports-skills, 242 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Moonpay Scout?

moonpay (a GitHub organization) maintains it in moonpay/skills, which has 113 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 10, 2026.

Source: moonpay/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Moonpay Scout

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Prediction Market Arbitrage & Alpha Scout

Step 1 — SCAN both platforms in parallel

Step 2 — FIND MATCHES

Step 3 — RUN THE ARB MATH

Pure Arbitrage Check

Resolution Date Adjustment

If No Pure Arb — Find Alpha Instead

Step 4 — RANK OPPORTUNITIES

Step 5 — EXECUTE BEST OPPORTUNITY

Step 6 — FINAL REPORT

Agent Rules

Prerequisites

MoonPay Integration

Related Skills

Files

Compare with similar skills

Similar skills

More from moonpay/skills

Related

Questions about Moonpay Scout