moonpay/skills

moonpay-scout

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.

First seen Mar 21, 2026

Installation

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

Also in this package

Other skills from moonpay/skills · top by installs.

npx skills add moonpay/skills

Browse all from moonpay/skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 111
License LICENSE
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,705 B
  • docs SUMMARY.md 315 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 42 installs

SKILL.md

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:

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

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:

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.

Related Skills

  • 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