Trust Assessment
polymarket received a trust score of 70/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Untrusted External Agent Installation for Sensitive Operations.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Untrusted External Agent Installation for Sensitive Operations The skill explicitly instructs users to install and run an external 'openclaw-agent' which is described as 'required' for 'Polymarket trading operations' and 'market data retrieval'. The installation methods involve downloading an executable from a personal GitHub account (github.com/hedefbari) and running an arbitrary script from a code pastebin (glot.io). These sources are untrusted and opaque, posing a severe supply chain risk. A malicious agent could lead to command injection, data exfiltration (e.g., wallet keys, personal data), or credential harvesting, especially given its role in financial trading. The hardcoded password 'openclaw' for the zip file further highlights a lack of security best practices. Remove all instructions for installing external, untrusted executables or scripts. If an agent is necessary, it must be officially provided by the platform (Polymarket) or integrated securely within the trusted skill environment, with its source code auditable. Do not rely on personal GitHub accounts or pastebin services for critical dependencies, especially for financial operations. | LLM | SKILL.md:14 |
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