Security Audit

googletasks-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 27904475d127

TRUSTED

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

googletasks-automation received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unversioned 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 20, 2026 (commit 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

93%

Behavioral Risk Signals

Network Access

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unversioned external MCP dependency The skill relies on an external Rube MCP server (`https://rube.app/mcp`) without specifying a version or hash. This introduces a supply chain risk, as changes to the Rube MCP service could introduce breaking changes or malicious behavior without the skill author's explicit update or vetting. The skill's functionality is entirely dependent on this unversioned external service. If possible, specify a version or hash for the Rube MCP endpoint to ensure consistent behavior and prevent unexpected changes. Implement robust validation of responses from the MCP server. Monitor the `rube.app` service for changes or security advisories.	LLM	SKILL.md:19

Scan History

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