Security Audit

cloudflare-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

cloudflare-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, 1 high, 0 medium, and 0 low severity. Key findings include Broad Cloudflare Automation Capabilities.

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

85%

Behavioral Risk Signals

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Broad Cloudflare Automation Capabilities The skill enables an AI agent to automate a wide range of Cloudflare operations through the Rube MCP. While the specific permissions are determined by the user's Cloudflare connection to Rube MCP, the skill itself provides the mechanism for the LLM to access and potentially control critical Cloudflare services (e.g., DNS, security, access management). This broad access, if not carefully managed by the LLM's internal reasoning and user prompts, poses a significant risk for unintended or malicious actions, including data modification, service disruption, or security misconfigurations. Implement strict access controls and least privilege principles for the Cloudflare API key connected to Rube MCP. Ensure the LLM's internal safety mechanisms and prompt engineering limit its ability to perform destructive or overly broad actions without explicit user confirmation. Consider breaking down the skill into more granular sub-skills with narrower scopes if possible, or requiring explicit user approval for high-impact operations.	LLM	SKILL.md:1

Scan History

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