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 external dependency in usage instructions.
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 | |
|---|---|---|---|---|
| MEDIUM | Unpinned external dependency in usage instructions The skill instructs users to execute `npx moltycash` and `npm install -g moltycash` without specifying a version. This means the latest version of the `moltycash` package will always be fetched and executed. If a malicious update is pushed to the `moltycash` npm package, users following these instructions would automatically execute potentially compromised code, leading to a supply chain attack. Pin the version of the `moltycash` package in all usage examples and installation instructions (e.g., `npx moltycash@2.0.0 send ...` and `npm install -g moltycash@2.0.0`). Advise users to verify package integrity before installation. | LLM | SKILL.md:18 |
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