Trust Assessment
moltycash received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned dependencies in 'Tested Library Versions'.
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
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned dependencies in 'Tested Library Versions' The 'Tested Library Versions' section lists dependencies with caret (`^`) ranges, such as `@x402/axios: "^2.0.0"`. This allows for automatic updates to minor or patch versions, which could introduce breaking changes, security vulnerabilities, or even malicious code if a dependency maintainer's account is compromised. Pinning exact versions (e.g., `"2.0.0"`) or using tilde (`~`) for patch updates is generally recommended for production environments to ensure deterministic builds and reduce supply chain risks. Pin all dependencies to exact versions (e.g., `"@x402/axios": "2.0.0"`) or use tilde (`~`) for patch-level updates (e.g., `"@x402/axios": "~2.0.0"`) to prevent unexpected updates and mitigate supply chain risks. Regularly audit dependencies for known vulnerabilities. | LLM | SKILL.md:16 |
Scan History
Embed Code
[](https://skillshield.io/report/9659d86c2a27b651)
Powered by SkillShield