Trust Assessment
Gong Automation 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 Third-Party Dependency.
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 17, 2026 (commit 99e2a295). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Third-Party Dependency The skill's manifest declares a dependency on 'mcp:rube' without specifying a version. This means the skill will always use the latest version of the 'rube' component of the Composio MCP. Unpinned dependencies can introduce supply chain risks, as updates to the third-party service could potentially introduce breaking changes or vulnerabilities without explicit review or control by the skill developer. If the platform supports it, specify a version for the 'rube' dependency (e.g., `"mcp": ["rube@1.2.3"]`) to ensure deterministic behavior and allow for controlled updates. If version pinning is not supported, acknowledge the risk and ensure a robust monitoring process for changes in the 'rube.app/mcp' service. | LLM | SKILL.md:1 |
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