prediction-markets

prediction-markets is a skill for Claude Code, Codex from predictionmarketspicks/mcp. It costs 84 tokens per session (919 once invoked), scanned A, original, MIT.

A skill for reading current prediction-market data and related calculations from venues such as Kalshi and Polymarket. Prediction markets are markets where contracts represent possible future outcomes, and the guidance covers prices, differences between venues, expected value, sizing, and sports or economic boards.

In plain words
What is it for?
Use it to compare contract prices, find cross-venue price gaps, review current market movements, and examine event markets such as sports, elections, weather, or interest rates.
Why use it?
It keeps answers tied to live tool results instead of guessed prices or projections. It also distinguishes market disagreement from certainty and requires sources for quoted numbers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compare contract prices, find cross-venue price gaps, review current market movements, and examine event markets such as sports, elections, weather, or interest rates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/predictionmarketspicks/mcp/prediction-markets
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add predictionmarketspicks/mcp --skill prediction-markets
Clone the repo
git clone --depth 1 https://github.com/predictionmarketspicks/mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prediction-markets

README.md
[![agentmods](https://agentmods.dev/badge/skills/predictionmarketspicks/mcp/prediction-markets/github.svg)](https://agentmods.dev/skills/predictionmarketspicks/mcp/prediction-markets)
Your own site
<a href="https://agentmods.dev/skills/predictionmarketspicks/mcp/prediction-markets"><img src="https://agentmods.dev/badge/skills/predictionmarketspicks/mcp/prediction-markets/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prediction-markets

Your own site · 80×15
<a href="https://agentmods.dev/skills/predictionmarketspicks/mcp/prediction-markets"><img src="https://agentmods.dev/badge/skills/predictionmarketspicks/mcp/prediction-markets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.00919
Opus 5.5 $0.00034 $0.00368
Sonnet 5.5 $0.00017 $0.00184
Haiku 4.5 $0.00008 $0.00092

Measured yesterday against content hash 39afad6e40a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prediction-markets scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/prediction-markets/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prediction markets (PredictionMarketsPicks)

Connect

If the PredictionMarketsPicks tools are not already connected, add this remote MCP server (streamable HTTP):

https://predictionmarketspicks.com/api/mcp/mcp?via=skills-sh

Free, no API key, no sign-in. A few tools are Pro: they return requires_pro: true with an upgrade_url instead of failing — pass that link on and answer with what the free tools return.

Rules

  1. Every price, edge, rank or projection you state comes from a tool result in this conversation. Never estimate a Kalshi or Polymarket price and never fill in a missing edge.
  2. When you quote a row's number, cite its url or page_url.
  3. An edge is model-vs-market disagreement, not a guarantee. Rows labelled WATCH are lower confidence — say so.
  4. Show what the market is pricing and what the tools read, then let the user make the call. No "lock", "sure thing" or guaranteed-winner language.
  5. Language: position, trade, contract, trader, prediction market.

Which tool

Question Tool
Cheapest venue for this contract best_price
Same outcome priced differently across venues find_arbitrage
What's moving / today's edges market_pulse, edge_alerts
Is this price +EV? calculate_ev
How much to put on it kelly_size (after calculate_ev)
Update a probability on new evidence bayes_update
Price ↔ probability ↔ odds convert_probability
History vs. what the market implies base_rate_gap
Pressure-test a strategy stress_test_strategy
Next FOMC decision fed_rate_odds
One election race / the Senate map race_odds, senate_map
NFL: mispriced games, props, win odds, ratings nfl_edge, nfl_prop_edge, nfl_prop_board, nfl_win_probability, nfl_power_ratings
NFL ladders nfl_ladder, ladder_arb, explain_ladder
NBA props, game lines, injury impact nba_prop_board, nba_game_board, nba_injury_impact
Tonight's NHL nhl_edge
Daily-high temperature markets weather_board
15-minute markets fifteen_min_board
Perpetuals, liquidation levels perps_board, perp_liquidation
Gold, silver, oil, bitcoin edges commodity_edge
Multi-leg combos combo_edge
Why a game, prop or player reads the way it does explain_game, explain_prop, explain_player
Fantasy: start/sit, waivers, sleepers, outlook, league start_sit, waiver_targets, sleepers_and_busts, player_outlook, my_league
How the models have done track_record

Read the full file on GitHub · 64 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 64 lines · 84 tokens per session scan A 39afad6e40a8

Subscribe to this mod's changes

prediction-markets is a skill published in the GitHub repository predictionmarketspicks/mcp (0 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 919 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-09.

Related

prediction-markets compared with skills from other repositories

prediction-markets next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
prediction-marketspredictionmarketspicks/mcpSkill0yesterdayMITA84Claude Code, Codex
ib-trades-historystaskh/trading_skillsSkill406yesterdayMITA59Claude Code
scanner-pmccstaskh/trading_skillsSkill406yesterdayMITA63Claude Code
surfBlockRunAI/blockrun-mcpSkill390todayMITA110Claude Code, Codex
ib-collarstaskh/trading_skillsSkill406yesterdayMITA30Claude Code
ib-portfolio-action-reportstaskh/trading_skillsSkill406yesterdayMITA49Claude Code
report-stockstaskh/trading_skillsSkill406yesterdayMITA22Claude Code