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Strategic Paper Trader on Polymarket
by
XintaoLiao
· GitHub ↗
· v1.0.1
· MIT-0
197
Downloads
1
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install polymarket-strategic-paper-trader
Description
Trade Polymarket prediction markets with AI — powered by PredictScope. Paper money with any initial amount, multiple custom strategies, controlled safe tradi...
Usage Guidance
Before installing, verify the skill's homepage (https://predictscope.ai/paper-trading) and confirm the publisher identity. Do not provide a production API key: create a dedicated paper-trading key or workspace with minimal permissions and limited balance. Ask the publisher or registry maintainer why the registry metadata omits PREDICTSCOPE_API_KEY (this mismatch could be an oversight or a sign of sloppy packaging). If you enable the agent, require explicit confirmation for any workspace writes or strategy changes and monitor the agent's actions in the workspace (watch trade logs and rate limits). If you are unsure, test with a throwaway account/workspace first.
Capability Analysis
Type: OpenClaw Skill
Name: polymarket-strategic-paper-trader
Version: 1.0.1
The skill is a legitimate paper-trading integration for Polymarket via the PredictScope service. It provides a comprehensive set of MCP tools for market analysis, strategy management, and simulated trade execution. The instructions include robust safety guardrails (Order Strategy), clear data trust boundaries warning against prompt injection from third-party market data, and standard bearer-token authentication via environment variables. No malicious behaviors such as data exfiltration or unauthorized execution were identified.
Capability Assessment
Purpose & Capability
The SKILL.md clearly describes a PredictScope cloud-hosted paper trader that requires a PredictScope API key (PREDICTSCOPE_API_KEY) to call the MCP trading endpoint. However, the registry metadata claims 'Required env vars: none' and 'Primary credential: none', which is inconsistent with the skill's stated purpose. Functionally, the declared requirements in the instructions are coherent with trading on PredictScope, but the metadata omission is a notable mismatch.
Instruction Scope
All visible runtime instructions are scoped to trading on PredictScope: listing/searching markets, creating strategies, reading workspace metadata, and submitting orders to the MCP endpoint. The SKILL.md directs use of PredictScope APIs and workspace headers and does not instruct the agent to read arbitrary local files or unrelated system credentials. It does grant the agent broad decision-making authority about market research and trade sizing, but that is consistent with an autonomous trader skill and is bounded by workspace order rules described in the doc.
Install Mechanism
This skill is instruction-only with no install spec and no code files, so nothing will be downloaded or written by an installer. That reduces the filesystem/remote-code risk surface.
Credentials
The SKILL.md requires a user API key (PREDICTSCOPE_API_KEY) and documents the exact MCP endpoint and header usage, which is reasonable for a cloud-hosted trading skill. However, the skill registry metadata lists no required env vars and no primary credential — a clear inconsistency. The single requested secret (PredictScope API key) is proportional to the feature, but the metadata omission could lead to surprise at runtime or to improper vetting by users/platforms.
Persistence & Privilege
The skill does not request permanent inclusion (always:false) and has no install actions or config path access. It can act autonomously (default platform behavior), which is expected for a trading helper; the SKILL.md documents read vs write permissions for workspace order rules and requires explicit user confirmation for writes, which is an appropriate control.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install polymarket-strategic-paper-trader - After installation, invoke the skill by name or use
/polymarket-strategic-paper-trader - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
No user-facing changes detected in this version.
- No differences found between this version and the previous release.
- Version number or metadata may have been updated without changes to logic or documentation.
- No action required for users.
v1.0.0
Version 1.1.0 — Major update: Enhanced AI-driven Polymarket paper trading with improved strategies, guardrails, and usability.
- Introduces PredictScope cloud-hosted trading with real order books, real prices, and zero-risk paper money.
- Adds two-tier control: customizable market selection strategies and strict order strategy safety rules.
- Supports flexible strategy filters—by category, wallet following, liquidity, and more.
- Enforces configurable, explicit trading guardrails (slippage, position sizing, diversification, etc.).
- Streamlines setup with simple API key configuration and workspace management.
- Detailed guidance for session workflows and AI trading behavior, encouraging autonomous, thesis-driven trading.
Metadata
Frequently Asked Questions
What is Strategic Paper Trader on Polymarket?
Trade Polymarket prediction markets with AI — powered by PredictScope. Paper money with any initial amount, multiple custom strategies, controlled safe tradi... It is an AI Agent Skill for Claude Code / OpenClaw, with 197 downloads so far.
How do I install Strategic Paper Trader on Polymarket?
Run "/install polymarket-strategic-paper-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Strategic Paper Trader on Polymarket free?
Yes, Strategic Paper Trader on Polymarket is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Strategic Paper Trader on Polymarket support?
Strategic Paper Trader on Polymarket is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Strategic Paper Trader on Polymarket?
It is built and maintained by XintaoLiao (@xintaoliao); the current version is v1.0.1.
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