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Install in OpenClaw
/install polymarket-predictradar-market-discovery-skills
Description
Polymarket hot market rankings & new market discovery. View trending markets by 24h volume/traders, discover newly listed high-momentum markets, browse activ...
Usage Guidance
This skill's instructions expect you to have a local 'polymarket-data-layer' repository and Node available and will run inline Node scripts that require local modules, but the skill package provides none of that or any declared credentials. Do not install or run this skill unless: (1) you control and trust the environment where it will run, (2) you have the referenced polymarket-data-layer code installed in the expected path, and (3) the author provides an install spec and a clear list of required environment variables/tokens. Ask the publisher to add: a) an install section (how to obtain and verify the data-layer and Node deps), b) explicit required env vars (and justification), c) no hard-coded paths, and d) a source/homepage or repo so you can review the referenced client code before executing. If you cannot verify those, run it only in an isolated environment (container/VM) or decline.
Capability Analysis
Type: OpenClaw Skill
Name: polymarket-predictradar-market-discovery-skills
Version: 1.0.0
The skill bundle provides a Polymarket discovery tool that utilizes risky execution methods, specifically 'node -e' commands in SKILL.md to run complex JavaScript logic and SQL queries. While the behavior appears aligned with the stated purpose of market analysis, the use of shell execution with agent-filled placeholders (e.g., TOP_N_HERE, LOOKBACK_HOURS_HERE) creates a significant vulnerability for command or SQL injection. No evidence of intentional malice, data exfiltration, or persistence was found, but the high-risk execution pattern warrants a suspicious classification.
Capability Assessment
Purpose & Capability
The skill claims 'market discovery' which could legitimately use Polymarket data, but its runtime instructions require a local shared data-layer (mcp-client, gamma-client, smartmoney) and Node execution. The skill metadata declares no required binaries, env vars, or code files — a clear mismatch: someone implementing this skill would need the polymarket-data-layer and Node, which are not declared or provided.
Instruction Scope
SKILL.md tells the agent to cd to a project path and run inline node -e scripts that require local modules (../../polymarket-data-layer/...). Those instructions reference running SQL queries (trades, positions) via mcp-client and calling gamma-client — i.e., access to local code, DB clients, and potentially credentials. The skill does not declare or restrict these actions, nor does it provide the referenced code. Instructing the agent to execute arbitrary Node code in a local path is a scope creep and execution risk.
Install Mechanism
There is no install spec (instruction-only), yet the SKILL.md assumes Node is available and a local repository layout exists. That combination is risky: the agent will attempt to execute commands that likely fail or, if present, will run local code of unknown provenance. An install spec or clear dependency list (Node version, npm packages, or a packaged data-layer) is missing and should be required.
Credentials
The skill declares no required environment variables or primary credential, but the documented MCP client requires a session handshake and Gamma likely needs service access; those typically use credentials or tokens. Omitting these declarations is disproportionate: the agent may rely on implicitly available credentials or fail unexpectedly. The skill also references local cache files (smart-money) without specifying paths or permissions.
Persistence & Privilege
The skill does not request always:true, system-wide changes, or other skills' config. Default autonomous invocation is allowed but not by itself a concern here. The primary issue is the mismatch between declared footprint and the actions the instructions request, not persistent privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install polymarket-predictradar-market-discovery-skills - After installation, invoke the skill by name or use
/polymarket-predictradar-market-discovery-skills - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Discover and rank trending and new Polymarket markets, with category browsing.
- Find the top, trending Polymarket markets by 24h trading volume, trader count, or recent activity.
- Discover newly listed, high-momentum markets and view just-launched opportunities.
- Browse and search active markets by category (e.g. crypto, politics, sports) with clickable links.
- Automatically responds to trigger phrases like "hottest markets," "new markets," or category-specific requests.
- Presents live market stats: clickable market links, prices, volume, and end dates—never fabricated.
- All results pulled directly from Polymarket data sources, ensuring accuracy.
Metadata
Frequently Asked Questions
What is polymarket-predictradar-market-discovery-skills?
Polymarket hot market rankings & new market discovery. View trending markets by 24h volume/traders, discover newly listed high-momentum markets, browse activ... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install polymarket-predictradar-market-discovery-skills?
Run "/install polymarket-predictradar-market-discovery-skills" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is polymarket-predictradar-market-discovery-skills free?
Yes, polymarket-predictradar-market-discovery-skills is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does polymarket-predictradar-market-discovery-skills support?
polymarket-predictradar-market-discovery-skills is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created polymarket-predictradar-market-discovery-skills?
It is built and maintained by Yeri (@cnica); the current version is v1.0.0.
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