parlay-mcp: Instructions file for Gemini CLI

GEMINI.md

parlay-mcp GEMINI.md is an instructions file for Gemini CLI from parlay-run/parlay-mcp. It costs 463 tokens per session, scanned A, original, MIT.

Instructions for Parlay, a set of tools that searches and compares prediction markets. Prediction markets are marketplaces where people trade contracts tied to possible future events, sometimes with real money and sometimes with play money.

In plain words
What is it for?
Use them to search live markets, find trending or soon-ending contracts, compare the same event across platforms, scan for discrepancies, and inspect a named venue.
Why use it?
They explain which tool to use for finding markets, summarizing topics, comparing venues, spotting price differences, or checking platform coverage, along with important coverage limits.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is parlay-run/parlay-mcp's own configuration. It tells Gemini CLI how to work on parlay-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything parlay-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to parlay-run/parlay-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/parlay-run/parlay-mcp/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/parlay-run/parlay-mcp

Made for: Gemini CLI.

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README.md
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Per session 463 This file is loaded in full into every session.
When invoked 463 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00463 $0.00463
Opus 5 $0.00231 $0.00231
Sonnet 5 $0.00093 $0.00093
Haiku 4.5 $0.00046 $0.00046

Measured 6d ago against content hash 3de2e07057ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

parlay-mcp GEMINI.md 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 6d ago.

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.

GEMINI.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parlay — Prediction Market Tools

What this is

Parlay aggregates live prediction market data across real-money venues and sentiment markets through six MCP tools: search, brief, discovery, comparison, discrepancy scanning, and platform inspection.

When to use which tool

  • search_markets: use when the user wants keyword search across live prediction markets or event contracts.
  • market_brief: use when the user wants an AI-ready summary of a topic, event, candidate, asset, or macro question.
  • discover_markets: use when the user asks what is trending, high-volume, new, fast-moving, or ending soon.
  • compare_markets: use when the user wants side-by-side comparison of the same event across venues.
  • scan_discrepancies: use when the user asks for arbitrage, price gaps, spreads, or cross-venue disagreement.
  • inspect_platform: use when the user names a specific venue and wants that venue's markets or coverage.

Venue coverage (Phase 1 validated)

  • Polymarket + Kalshi = primary real-money
  • Limitless = active real-money; systematic small premium on long-tail favorites (DIRECTIONAL SIGNAL, NOT executable arbitrage)
  • Manifold = play-money only; hardcoded marketType:'sentiment'; excluded from real-money tools by design
  • Opinion.trade = listed but ~no public liquidity (19/20 zero-volume in Phase 1 sample); NOT a broken connector
  • Smarkets / Myriad / Metaculus / Probable / Baozi = catalog-only via PMXT

Critical caveats

  • Manifold spreads vs Polymarket/Kalshi are NOT executable arbitrage (Manifold is play-money)
  • Cross-platform event matches require human verification — same headline ≠ same market
  • No canonical mapping exists between Kalshi tickers and Polymarket condition IDs
  • Always cite the venue name and timestamp when stating probabilities

Behavioral guardrails

  • Read-only tools: never claim to place trades, hold positions, or move funds
  • Not financial advice: data is informational
  • When the user asks for "arbitrage," surface cross-venue gaps but always note that execution risk, fees, and resolution criteria differences may eliminate the spread

Read the full file on GitHub · 36 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. 6d ago First seen · 36 lines · 463 tokens per session scan A 3de2e07057ae

Subscribe to this mod's changes

parlay-mcp GEMINI.md is an instructions file published in the GitHub repository parlay-run/parlay-mcp (6 stars, last pushed 3mo ago), licensed MIT. It adds 463 tokens to every session, about $0.0023 per session on Opus 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 2026-08-31.

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