Security Audit

mezmo-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 99e2a2951545

TRUSTED

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

mezmo-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 external MCP 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

Manifest Analysis

100%

Static Code Analysis

93%

Dependency Graph

100%

LLM Behavioral Safety

100%

Behavioral Risk Signals

Network Access

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unpinned external MCP dependency The skill relies on the 'rube' MCP for its core functionality, as declared in the manifest (`"requires": {"mcp": ["rube"]}`) and referenced in the `SKILL.md` (`https://rube.app/mcp`). However, no specific version of the 'rube' MCP is pinned. This means the skill will always use the latest version of 'rube', which could introduce unvetted changes, breaking functionality, or new vulnerabilities without explicit review. A malicious or vulnerable update to the 'rube' MCP could compromise the agent using this skill. Specify a pinned version for the 'rube' MCP in the manifest (e.g., `{"mcp": ["rube@1.2.3"]}`) to ensure deterministic behavior and allow for security review of updates before deployment.	Static	SKILL.md

Scan History

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