Security Audit

payhip-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

payhip-automation received a trust score of 82/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Integration of external Rube MCP server, Unpinned dependency on Rube MCP.

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

78%

Behavioral Risk Signals

Network Access

2 findings

Shell Execution

1 finding

Dynamic Code

1 finding

Security Findings2

Severity	Finding	Layer	Location
HIGH	Integration of external Rube MCP server The skill instructs the user/agent to configure their client to use `https://rube.app/mcp` as an MCP server. Relying on an external, third-party service introduces a significant supply chain risk. If `rube.app` were compromised or malicious, it could lead to data exfiltration, command injection, or other security breaches through the tools provided by the MCP. The skill itself does not provide any mechanisms to verify the integrity or trustworthiness of the `rube.app` endpoint. Implement mechanisms to verify the integrity and trustworthiness of external MCP servers. Consider sandboxing interactions with external services. Provide clear warnings to users about the risks associated with integrating third-party services. If possible, host critical components internally or use trusted, audited providers.	LLM	SKILL.md:17
MEDIUM	Unpinned dependency on Rube MCP The skill's manifest declares a dependency on 'rube' from the 'mcp' ecosystem (`"requires": {"mcp": ["rube"]}`). However, no specific version is pinned. This means the skill will use whatever version of the Rube MCP is currently available, which could change over time. Unpinned dependencies introduce a supply chain risk, as updates to the external service could introduce breaking changes, vulnerabilities, or malicious behavior without explicit consent or review. Specify a version constraint for the 'rube' MCP dependency in the manifest to ensure stability and allow for controlled updates. For external services, consider using versioned endpoints if available.	LLM	SKILL.md:1

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