Security Audit
exist-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
exist-automation received a trust score of 93/100, 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 dependency on Rube MCP.
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 dependency on Rube MCP The skill's manifest specifies a dependency on the 'rube' Multi-Capability Provider (MCP) without a version constraint. This means that any version of 'rube' could be used, which introduces a supply chain risk. Future versions of 'rube' could introduce breaking changes, vulnerabilities, or even malicious behavior without the skill author's explicit approval or testing. It is best practice to pin dependencies to specific versions or narrow version ranges to ensure stability and security. Pin the 'rube' MCP dependency to a specific version or a narrow version range in the manifest. For example, if the ecosystem supports it, use `"mcp": ["rube@1.0.0"]` or `"mcp": ["rube@^1.0.0"]` to specify a compatible version. | Static | manifest.json:1 |
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