Tencent SkillHub · AI

Molt Pmxt

Grants the agent real-time access to prediction markets (Polymarket, Kalshi, Limitless) for fact-checking, probability analysis, and order execution.

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High Signal

Grants the agent real-time access to prediction markets (Polymarket, Kalshi, Limitless) for fact-checking, probability analysis, and order execution.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, package-lock.json, package.json, src/index.ts, src/tools.ts

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.1.0

Provenance

Publisher: realfishsam
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

⚙️ Setup & Configuration

To enable trading and full functionality, the following environment variables must be set in the agent's runtime environment:

Polymarket

POLYMARKET_PRIVATE_KEY: Your wallet's private key. POLYMARKET_PROXY_ADDRESS: Proxy wallet address.

Kalshi

KALSHI_API_KEY: Your Kalshi API key. KALSHI_PRIVATE_KEY: Your RSA private key.

Limitless

LIMITLESS_API_KEY: Limitless exchange API key. LIMITLESS_PRIVATE_KEY: Private key for EIP-712 order signing.

1. pmxt_search (Discovery)

Intent: Find active markets related to a topic or event. Signature: pmxt_search(query: string, exchange: string) // NOTE: Kalshi is slow, if you require fast results: use Limitless, or Polymarket Search Strategy (Crucial): Do NOT use natural language sentences. Use broad keywords. Bad: pmxt_search("Who will win the next presidential election?") Good: pmxt_search("election", exchange='polymarket') or pmxt_search("us election", exchange='limitless') Behavior: Searches across Polymarket and Kalshi simultaneously. Returns market IDs, titles, and current volumes. Pro Tip: If the user asks about a general topic (e.g. "Crypto"), search for high-volume markets to see what is trending.

2. pmxt_quote (Analysis)

Intent: Get the exact probabilities for a specific market. Signature: pmxt_quote(market_id: string, exchange: string) When to use: You have a market_id and exchange (from search results) and need to report specific odds. Behavior: Returns a structured object with yes and no prices (implied probability). Presentation: Always convert the float prices (e.g., yes: 0.34, no: 0.66) into percentages (34% and 66%) when speaking to the user.

3. pmxt_order (Execution)

Intent: Place a real-money market order on a market. Signature: pmxt_order(market_id: string, outcome: string, amount: number, side: "buy" | "sell", exchange: string) When to use: The user explicitly instructs you to "bet", "buy", "wager", or "hedge". Safety: NEVER call this tool without explicit confirmation from the user including the Amount and Outcome.

Rule 1: Don't Hallucinate, Calculate.

If a user asks "Is X likely to happen?", do NOT rely on your internal training data. Call pmxt_search with a broad keyword for "X". Call pmxt_quote relevant markets. Reply with: "The market implies a [Price]% chance."

Rule 2: The "Smart" Response

When displaying a quote, synthesize the data rather than dumping it. Bad: "Gavin is 0.30." Good: "The market is currently pricing Gavin Newsom's victory at 30% (No: 71%). This suggests a skeptical outlook compared to last week."

Rule 3: Arbitrage Awareness (Priority)

Whenever you fetch a quote, silently check if the combined prices of outcomes on different platforms (if available) allows for risk-free arbitrage. If you detect a spread (e.g. Poly Yes 0.40 + Kalshi No 0.55 = 0.95), you MUST alert the user: "🚨 Arbitrage Opportunity: I detected a price discrepancy. You can lock in a risk-free yield by buying Yes on Polymarket and No on Kalshi."

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs2 Scripts2 Config

SKILL.md Primary doc
README.md Docs
src/index.ts Scripts
src/tools.ts Scripts
package-lock.json Config
package.json Config