Security Audit

Ahrefs Automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 27904475d127

TRUSTED

Scanned about 1 month ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

Ahrefs 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 Unpinned Composio 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

93%

Dependency Graph

100%

LLM Behavioral Safety

100%

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unpinned Composio MCP dependency The skill manifest specifies a dependency on the 'rube' Composio MCP server without a version constraint. This means the skill could be using any version of 'rube', including potentially vulnerable or malicious future versions, introducing a supply chain risk. If the 'rube' MCP changes in an unexpected or malicious way, it could impact the security or functionality of this skill. Pin the 'rube' MCP dependency to a specific, known-good version (e.g., `"mcp": ["rube@1.2.3"]`) to ensure consistent and secure behavior. Regularly review and update pinned dependencies.	Static	manifest.json

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/44e52d7edb786706.svg)](https://skillshield.io/report/44e52d7edb786706)