Security Audit

doppler-marketing-automation-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

doppler-marketing-automation-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, 0 medium, and 1 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 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

98%

Security Findings1

Severity	Finding	Layer	Location
LOW	Unpinned dependency in manifest The `rube` dependency in the skill's manifest is not pinned to a specific version. This can lead to unexpected behavior or security vulnerabilities if a new version of the dependency introduces breaking changes or exploits. It is best practice to pin dependencies to specific versions to ensure reproducibility and mitigate supply chain risks. Pin the `rube` dependency to a specific version (e.g., `"rube": "1.2.3"`) in the manifest to ensure consistent behavior and mitigate risks from unvetted updates.	LLM	SKILL.md:2

Scan History

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