Security Audit

unione-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

unione-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 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%

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unpinned MCP dependency The skill's manifest specifies a dependency on the 'rube' MCP without a version constraint. This means that any future updates to the 'rube' MCP, including potentially malicious or vulnerable versions, would be automatically used by this skill. This introduces a supply chain risk as the skill's behavior could change unexpectedly or maliciously without explicit review. Pin the 'rube' MCP dependency to a specific, known-good version or version range in the manifest to mitigate risks from unexpected or malicious updates. For example, `"mcp": ["rube@1.2.3"]` or `"mcp": ["rube@^1.0.0"]`.	Static	SKILL.md

Scan History

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