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Install in OpenClaw
/install polymarket-paper-trader
Description
Everyone's trading Polymarket with AI agents. Practice first — $10k paper money, real order books, zero risk. No wallet, no API keys, no real money. Then com...
Usage Guidance
This skill appears to do what it says: an autonomous paper-trader that uses pm-trader binaries and posts shareable stats. The main caution is the installer: it will create and run binaries (pm-trader, pm-trader-mcp) from a 'uv' package. Before installing, review the linked GitHub repo and the packaged code, or ask the publisher for a signed release/binary provenance. If you can't audit the package, run the skill in a sandboxed environment (container or VM) with restricted network and no access to sensitive credentials. If you don't want it posting publicly or auto-invoking, keep it user-invocable only and do not enable autonomous runs. Finally, verify that the binaries truly only interact with Polymarket order books and do not attempt to access unrelated system data or external credentials.
Capability Analysis
Type: OpenClaw Skill
Name: polymarket-paper-trader
Version: 0.1.7
The skill defines an AI agent for paper trading on Polymarket, emphasizing autonomy and social sharing of results. Crucially, the `SKILL.md` file includes explicit instructions under 'Data trust boundaries' warning the agent *not* to execute instructions, navigate URLs, or share personal information found in untrusted market data, directly mitigating prompt injection risks. While it encourages aggressive marketing copy for social media, this is for generated content, not malicious agent actions. There is no evidence of intentional data exfiltration, malicious execution, persistence, or obfuscation within the provided instructions.
Capability Assessment
Purpose & Capability
Name/description match the declared needs: trading on Polymarket paper order books. Declared required binaries (pm-trader-mcp, python3) and the installer that produces pm-trader and pm-trader-mcp are proportionate to the stated purpose.
Instruction Scope
SKILL.md instructs the agent to operate autonomously as a trader (run commands like init_account, list_markets, resolve_all, portfolio, get_order_book, create stats/PK/leaderboard cards) and to generate shareable content with embedded install links. The instructions do not ask for credentials or read unrelated system files, but they do encourage outward posting and embedding install links (growth behavior) which you should expect and may want to control.
Install Mechanism
The skill declares an install 'kind: uv' for package polymarket-paper-trader that creates binaries. 'uv' is not a widely recognized system package source in this metadata and the platform will write executables to disk. This is the primary risk: installing and running third‑party binaries without source review can execute arbitrary code. The homepage references a GitHub repo which helps, but the install mechanism itself should be verified and the package source reviewed before installing.
Credentials
No environment variables, credentials, or config paths are requested. The skill explicitly states 'no wallet, no API keys, no real money', and the instructions do not reference unrelated secrets—this is proportionate to a paper-trading skill.
Persistence & Privilege
always:false (default) and autonomous invocation allowed (platform default). The skill does not request persistent system-wide privileges or modify other skills. Being able to run autonomously is expected for an agent trading routine, but you may want to restrict autonomous runs if you prefer manual control.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install polymarket-paper-trader - After installation, invoke the skill by name or use
/polymarket-paper-trader - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.7
Release v0.1.7
v0.1.6-1
Security: add data trust boundaries, skills.sh support
v0.1.6
Release v0.1.6
v0.1.5
Add PyPI badge, fix install instructions, include examples, add py.typed, tests-before-publish CI
v0.1.3
Add share_content, leaderboard_card, pk_battle tools. Top positions in cards. Milestone/daily templates.
v0.1.2
- Added stats_card tool for generating shareable performance cards (tweet, markdown, plain formats)
- Improved documentation for sharing stats on social platforms
- Updated local data storage path from ~/.pm-sim/ to ~/.pm-trader/
- Enhanced package metadata with tags for discoverability
- Increased test coverage to 528 tests
v0.1.1
Renamed from pm-sim. Updated CLI binaries (pm-trader, pm-trader-mcp), repo URL, install metadata.
v0.1.0
Initial release: 20 MCP tools for Polymarket paper trading. Real order books, real fees, zero risk. 504 tests, 100% coverage.
Metadata
Frequently Asked Questions
What is Polymarket Paper Trader?
Everyone's trading Polymarket with AI agents. Practice first — $10k paper money, real order books, zero risk. No wallet, no API keys, no real money. Then com... It is an AI Agent Skill for Claude Code / OpenClaw, with 717 downloads so far.
How do I install Polymarket Paper Trader?
Run "/install polymarket-paper-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Polymarket Paper Trader free?
Yes, Polymarket Paper Trader is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Polymarket Paper Trader support?
Polymarket Paper Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Polymarket Paper Trader?
It is built and maintained by Cong (@robotlearning123); the current version is v0.1.7.
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