How do I install the Polymarket Paired Arbitrage skill?

Run npx skillmds@latest add knuckles-team/polymarket-paired-arbitrage in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Polymarket Paired Arbitrage safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Polymarket Paired Arbitrage?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Polymarket Paired Arbitrage free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Polymarket Paired Arbitrage?

Knuckles-Team (@knuckles-team) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Polymarket Paired Arbitrage by knuckles-team

Name: Polymarket Paired Arbitrage
Author: Knuckles-Team

File contents

Polymarket Paired Arbitrage Workflow

CONCEPT:EE-011

Scans contract books across Polymarket and other event platforms to identify correlated price anomalies, simulates execution impact, and routes arbitrage trades.

Steps

Step 1: Paired Market Scanner

Agent: data-fetcher Tools: graph_query, sx_search

Scans contract books across Polymarket and other event platforms to identify correlated price anomalies. Expected: arbitrage-opportunities

Step 2: Order Book Simulator [depends_on: paired-market-scanner]

Agent: compute-engine Tools: graph_analyze

Simulates liquidity, bid-ask spreads, and execution impact to verify arbitrage feasibility. Expected: simulated-execution-impacts

Step 3: Risk Margin Calculator [depends_on: paired-market-scanner]

Agent: risk-assessor Tools: graph_query, graph_analyze

Audits margin utilization limits, collateral safety, and maximum drawdown risk. Expected: margin-safety-bounds

Step 4: Trade Execution Engine [depends_on: order-book-simulator, risk-margin-calculator]

Agent: report-generator Tools: graph_write, document_tools

Executes execution orders across exchange endpoints and records trades. Expected: arbitrage-execution-receipts

Step 5: KG Persistence [depends_on: trade-execution-engine]

Agent: report-generator Tools: graph_write

Persist workflow results as nodes and edges in the Knowledge Graph. Create appropriate typed nodes with metadata and link to existing domain entities.

Output

Polymarket Paired Arbitrage results persisted in KG
Structured report (MD/PDF)
Audit trail with timestamps and agent attributions

Execution

Run this workflow as a dependency-ordered DAG. Steps with no unmet depends_on run in parallel; dependents run after their prerequisites complete.

Run first (in parallel): Step 1 — Paired Market Scanner
After level 0: Step 2 — Order Book Simulator; Step 3 — Risk Margin Calculator
After level 1: Step 4 — Trade Execution Engine
After level 2: Step 5 — KG Persistence

Execution: If graph-os is reachable, offload the whole DAG via graph_orchestrate action=execute_workflow (or the kg-delegate skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet depends_on in parallel, then their dependents.

---name: polymarket-paired-arbitragedescription: Scans contract books across Polymarket and other event platforms to identify correlated price anomalies, simulates execution impact, and routes arbitrage trades.---# Polymarket Paired Arbitrage Workflow**CONCEPT:EE-011**Scans contract books across Polymarket and other event platforms to identify correlated price anomalies, simulates execution impact, and routes arbitrage trades.## Steps### Step 1: Paired Market Scanner**Agent**: `data-fetcher`**Tools**: `graph_query, sx_search`Scans contract books across Polymarket and other event platforms to identify correlated price anomalies.Expected: `arbitrage-opportunities`### Step 2: Order Book Simulator [depends_on: paired-market-scanner]**Agent**: `compute-engine`**Tools**: `graph_analyze`Simulates liquidity, bid-ask spreads, and execution impact to verify arbitrage feasibility.Expected: `simulated-execution-impacts`### Step 3: Risk Margin Calculator [depends_on: paired-market-scanner]**Agent**: `risk-assessor`**Tools**: `graph_query, graph_analyze`Audits margin utilization limits, collateral safety, and maximum drawdown risk.Expected: `margin-safety-bounds`### Step 4: Trade Execution Engine [depends_on: order-book-simulator, risk-margin-calculator]**Agent**: `report-generator`**Tools**: `graph_write, document_tools`Executes execution orders across exchange endpoints and records trades.Expected: `arbitrage-execution-receipts`### Step 5: KG Persistence [depends_on: trade-execution-engine]**Agent**: `report-generator`**Tools**: `graph_write`Persist workflow results as nodes and edges in the Knowledge Graph.Create appropriate typed nodes with metadata and link to existing domain entities.## Output- Polymarket Paired Arbitrage results persisted in KG- Structured report (MD/PDF)- Audit trail with timestamps and agent attributions## ExecutionRun this workflow as a dependency-ordered DAG. Steps with no unmet `depends_on` run in parallel; dependents run after their prerequisites complete.- **Run first (in parallel):** Step 1 — Paired Market Scanner- **After level 0:** Step 2 — Order Book Simulator; Step 3 — Risk Margin Calculator- **After level 1:** Step 4 — Trade Execution Engine- **After level 2:** Step 5 — KG Persistence**Execution:** If graph-os is reachable, offload the whole DAG via `graph_orchestrate action=execute_workflow` (or the `kg-delegate` skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet `depends_on` in parallel, then their dependents.

Frequently asked questions

Polymarket Paired Arbitrage