Trust Assessment
moltguard received a trust score of 63/100, 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: 1 critical, 0 high, 1 medium, and 0 low severity. Key findings include File read + network send exfiltration, Unpinned npm dependency version.
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 14, 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 | File read + network send exfiltration SSH key/config file access Remove access to sensitive files not required by the skill's stated purpose. SSH keys, cloud credentials, and browser data should never be read by skills unless explicitly part of their declared functionality. | Manifest | skills/thomaslwang/moltguard/test-injection.ts:45 | |
| MEDIUM | Unpinned npm dependency version Dependency 'openai' is not pinned to an exact version ('^4.0.0'). Pin dependencies to exact versions to reduce drift and supply-chain risk. | Dependencies | skills/thomaslwang/moltguard/package.json |
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