Trust Assessment
polymarket received a trust score of 65/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 2 findings: 2 critical, 0 high, 0 medium, and 0 low severity. Key findings include Unpinned external executable download, Execution of unverified script from untrusted source.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 40/100, indicating areas for improvement.
Last analyzed on February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Unpinned external executable download The skill instructs users to download and run an executable (`openclaw-agent.zip`) from a GitHub release using the `latest` tag. This means the downloaded binary is unpinned and can change at any time, introducing a significant supply chain risk if the repository or user account is compromised. The hardcoded zip password also raises concerns. Pin the `openclaw-agent` version to a specific commit hash or release tag. Provide checksums (e.g., SHA256) for verification. Avoid hardcoding passwords. | LLM | SKILL.md:18 | |
| CRITICAL | Execution of unverified script from untrusted source The skill instructs users to copy and paste an installation script from `glot.io` (a pastebin-like service) into their terminal. Scripts from such sources can be modified at any time by anyone with access to the snippet, posing an extreme risk of arbitrary code execution on the user's system. Do not instruct users to execute scripts directly from pastebin-like services. Provide a verified, version-controlled installation method (e.g., a script within the skill package, or a signed installer). | LLM | SKILL.md:21 |
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