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yebdmo2

Lpxpoly

by yebdmo2 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install lpxpoly
Description
AI-powered Polymarket prediction market analysis via Bitcoin Lightning. Find mispriced markets, get AI edge on probability vs market price. ~50 sats per anal...
README (SKILL.md)

\r \r

LPXPoly — AI-Powered Polymarket Analysis\r

\r Find edge in prediction markets using AI probability estimation vs current market prices. Pay ~50 sats per analysis via Bitcoin Lightning. No subscription, no account.\r \r

When to Use\r

\r

  • Finding mispriced markets on Polymarket\r
  • Getting AI probability assessment on specific events\r
  • Scanning for arbitrage opportunities in prediction markets\r
  • Comparing AI model probability vs crowd wisdom\r
  • Browsing top markets by volume or category\r \r

Tools\r

\r

get_edge_opportunities\r

Scans Polymarket for markets where AI probability significantly diverges from market price.\r \r

"Find edge opportunities on Polymarket"\r
→ Returns top mispriced markets with AI vs market probability delta\r
→ Sorted by edge magnitude\r
→ Includes recommended position (YES/NO) and confidence\r
```\r
\r
### `analyze_market`\r
Deep AI analysis of a specific Polymarket market.\r
\r
```\r
"Analyze the Fed rate cut market"\r
→ Returns AI probability estimate with reasoning\r
→ Includes key factors, risks, and recommended position size\r
→ Compares to current market price\r
```\r
\r
### `get_top_markets`\r
Browse top Polymarket markets by volume, filtered by category.\r
\r
```\r
"What are the top crypto markets on Polymarket?"\r
→ Returns markets sorted by volume\r
→ Filter by: crypto, politics, sports, science, tech, world\r
```\r
\r
### `check_balance`\r
Check your Lightning balance before running expensive scans.\r
\r
```\r
"How much Lightning balance do I have?"\r
→ Returns current sats balance\r
→ Includes link to top up if low\r
```\r
\r
## Behavior Guidelines\r
\r
**Before a full market scan:**\r
1. `check_balance` — confirm enough sats for the scan\r
2. `get_edge_opportunities` — retrieve top mispriced markets\r
3. Present findings with edge delta and confidence\r
\r
**For a specific market:**\r
1. `analyze_market` with market name or URL\r
2. Return AI probability, reasoning, and position recommendation\r
\r
**Cost awareness:**\r
- Each `get_edge_opportunities` call: ~50 sats\r
- Each `analyze_market` call: ~50 sats\r
- Warn if balance \x3C 200 sats before a multi-analysis session\r
\r
## Example Interactions\r
\r
**User:** "Find edge opportunities on Polymarket"\r
\r
**You:** check_balance → get_edge_opportunities → present top 5 markets with edge delta, AI probability vs market price, and recommended positions\r
\r
---\r
\r
**User:** "What does AI think about the Bitcoin ETF approval market?"\r
\r
**You:** analyze_market("Bitcoin ETF approval") → return AI probability estimate, key factors, comparison to market price, recommended position\r
\r
---\r
\r
**User:** "What are the biggest crypto prediction markets right now?"\r
\r
**You:** get_top_markets(category="crypto") → return top markets by volume with current prices\r
\r
## Payment\r
\r
~50 sats per analysis. Pay with Bitcoin Lightning. Get a spend token at [lightningprox.com](https://lightningprox.com).\r
\r
```json\r
{\r
  "mcpServers": {\r
    "lpxpoly": {\r
      "command": "npx",\r
      "args": ["lpxpoly-mcp"],\r
      "env": {\r
        "LIGHTNINGPROX_SPEND_TOKEN": "lnpx_your_token_here"\r
      }\r
    }\r
  }\r
}\r
```\r
\r
## Security Manifest\r
\r
| Permission | Scope | Reason |\r
|------------|-------|--------|\r
| Network | lpxpoly.com, lightningprox.com | Market data and Lightning payment |\r
| Env Read | LIGHTNINGPROX_SPEND_TOKEN | Authentication for paid analysis calls |\r
\r
## Trust Statement\r
\r
LPXPoly is part of the AIProx ecosystem, operated by LPX Digital Group LLC. Market analysis is AI-generated probability estimation — not financial advice. Sats deducted from LightningProx balance per successful analysis only. Operated at lpxpoly.com.\r
Usage Guidance
The skill’s purpose (paid Polymarket analysis via Lightning) matches the single env var it requests, but the runtime snippet instructs running `npx lpxpoly-mcp` which would fetch and execute remote npm code and use your LIGHTNINGPROX_SPEND_TOKEN to pay. Before installing: 1) Ask the publisher for details — where is lpxpoly-mcp published, can you review its source (link to repo or tarball), and why isn’t npx listed as a required binary? 2) Prefer to supply a limited spend token (or zero-balance token) for testing and top it up only after you verify behavior. 3) Consider disabling autonomous invocation (or require explicit confirmation) so the agent cannot charge sats automatically. 4) If you must install, inspect the lpxpoly-mcp package contents or request a signed release from the project. These steps reduce risk of arbitrary code execution and unintended Lightning spend.
Capability Analysis
Type: OpenClaw Skill Name: lpxpoly Version: 1.0.1 The lpxpoly skill is an AI-powered analysis tool for Polymarket that integrates Bitcoin Lightning payments via the LightningProx service. It uses a standard MCP server architecture (npx lpxpoly-mcp) and requires a specific environment variable (LIGHTNINGPROX_SPEND_TOKEN) for authentication. The instructions in SKILL.md are consistent with the stated purpose of market analysis and balance management, with no evidence of malicious intent, data exfiltration, or prompt injection attacks.
Capability Assessment
Purpose & Capability
The skill claims to provide paid AI analyses via Bitcoin Lightning and only requests LIGHTNINGPROX_SPEND_TOKEN, which matches the payment purpose. However the SKILL.md includes an mcpServers snippet that runs `npx lpxpoly-mcp` — the registry metadata declared no required binaries. That is an inconsistency: running via npx requires the npx binary and will fetch/execute an npm package at runtime, which is not listed or justified in the manifest.
Instruction Scope
The instructions are largely high-level (check_balance, get_edge_opportunities, analyze_market) and limited to the stated domain. But the provided runtime example (mcpServers config) instructs executing an external npm package with the spend token in its env, which implicitly grants that package permission to perform network calls and spend sats. The SKILL.md does not describe what the lpxpoly-mcp package does, what endpoints it calls, or what data it sends — scope is therefore broader than documented.
Install Mechanism
There is no install spec (instruction-only), which is lower-risk in general. But the mcpServers example relies on `npx lpxpoly-mcp` — this will fetch and execute code from the npm registry at runtime if npx is invoked. That execution-of-remote-package behavior is not declared, not vetted, and not included in the manifest; it increases risk because arbitrary code could run locally under the agent process.
Credentials
The only required environment variable is LIGHTNINGPROX_SPEND_TOKEN, which is coherent with a paid-per-use service. This token appears to be a spend-capable credential; providing it grants the backend (or any executed client code) the ability to charge sats. No unrelated secrets are requested. Because it is a spend token, it is high-sensitivity and should be scoped/limited where possible.
Persistence & Privilege
always:false and no declared config writes — that is appropriate. However model invocation is enabled (default), so an agent with permission to call skills could autonomously invoke this skill. Combined with a live spend token and the ability to execute an npm package via npx, this creates risk of unintended charges if the agent calls the skill without user confirmation.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install lpxpoly
  3. After installation, invoke the skill by name or use /lpxpoly
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated SKILL.md with clearer, more concise instructions and use cases. - Documented specific skill tools: get_edge_opportunities, analyze_market, get_top_markets, check_balance. - Added step-by-step behavior guidelines and explicit cost awareness. - Revised example user interactions for clarity. - Updated payment instructions (~50 sats per analysis) and added LightningProx example. - Improved security manifest and trust statement for transparency.
v3.0.0
Added AIProx ecosystem links, reg istration curl command, MCP npm package, autonomous agent demo reference
v2.0.0
Major update: Improved API clarity, added autonomous agent demo, and tightened AIProx ecosystem integration. - Introduced an autonomous agent demo for seamless AI service discovery and payment. - Clarified the setup and payment workflow—no accounts or API keys required; wallet-only access emphasized. - Streamlined API documentation and removed redundant endpoints for simplicity. - Updated examples and links to highlight AIProx registry integration and SolanaProx USDC support. - Simplified payment information and reduced minimum analysis cost details.
v1.0.0
LPXPoly 1.0.0 — Initial Release - Launch of AI-powered Polymarket analysis tool. - Identify mispriced and edge opportunities on Polymarket. - Analyze specific Polymarket markets via simple API. - Set price alerts on any market. - Pay per analysis with Bitcoin Lightning; no accounts or API keys required. - Full API documentation and desktop setup instructions included.
Metadata
Slug lpxpoly
Version 1.0.1
License MIT-0
All-time Installs 3
Active Installs 3
Total Versions 4
Frequently Asked Questions

What is Lpxpoly?

AI-powered Polymarket prediction market analysis via Bitcoin Lightning. Find mispriced markets, get AI edge on probability vs market price. ~50 sats per anal... It is an AI Agent Skill for Claude Code / OpenClaw, with 513 downloads so far.

How do I install Lpxpoly?

Run "/install lpxpoly" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Lpxpoly free?

Yes, Lpxpoly is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Lpxpoly support?

Lpxpoly is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Lpxpoly?

It is built and maintained by yebdmo2 (@yebdmo2); the current version is v1.0.1.

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