Security Audit

cloudflare-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

cloudflare-automation received a trust score of 86/100, 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 Control via Generic Tool Execution.

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

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Shell Execution

1 finding

Dynamic Code

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Broad Cloudflare Control via Generic Tool Execution The skill grants the agent extensive control over a connected Cloudflare account by allowing the execution of any tool exposed by the Composio Cloudflare toolkit via `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH`. This includes the ability to manage critical Cloudflare resources such as DNS records, WAF rules, CDN settings, and potentially deploy serverless functions (Cloudflare Workers). An agent compromised by prompt injection could be instructed to perform destructive or sensitive operations on the Cloudflare account, leading to service disruption, data exposure, or unauthorized resource usage. Implement granular access controls within the Rube MCP or Composio platform to restrict the specific Cloudflare operations an agent can perform. If the skill is intended for a specific, limited set of tasks, define explicit tool slugs and arguments rather than relying on generic discovery and execution. Ensure robust agent safety mechanisms are in place to prevent malicious prompts from exploiting these broad permissions.	LLM	SKILL.md:49

Scan History

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