Security Audit

pexels-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

pexels-automation received a trust score of 93/100, 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

93%

Dependency Graph

100%

LLM Behavioral Safety

100%

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unpinned Dependency in Manifest The skill's manifest declares a dependency on the 'rube' Managed Control Plane (MCP) without specifying a version. This 'unpinned' dependency means the skill could interact with any version of the 'rube' MCP, including future versions that might introduce breaking changes, vulnerabilities, or unexpected behavior. This lack of version pinning can lead to instability and potential security risks if the upstream MCP changes in an undesirable way. Pin the 'rube' MCP dependency to a specific, known-good version or version range in the manifest. For example, `"mcp": ["rube@1.2.3"]` or `"mcp": ["rube@^1.0.0"]` if the MCP system supports versioning.	Static	manifest.json:4

Scan History

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