Security Audit

helloleads-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 99e2a2951545

TRUSTED

Scanned 6 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

helloleads-automation received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.

SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned Dependency in Manifest.

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

93%

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unpinned Dependency in Manifest The skill's manifest specifies a dependency on 'rube' within the 'mcp' category without a version constraint. This means that any version of the 'rube' MCP could be used, including future versions that might introduce breaking changes, security vulnerabilities, or unexpected behavior. Relying on unpinned dependencies can lead to supply chain risks. Pin the 'rube' dependency to a specific, known-good version (e.g., `"rube": "1.2.3"`) to ensure consistent and secure behavior. Regularly review and update pinned dependencies.	LLM	manifest.json:1

Scan History

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