Security Audit

claude-ally-health

github.com/sickn33/antigravity-awesome-skills

AI SkillCommit e36d6fd3b3f6

TRUSTED

Scanned 2 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

claude-ally-health 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 External skill source not scanned.

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 e36d6fd3). 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%

Behavioral Risk Signals

Network Access

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	External skill source not scanned The skill's manifest and description explicitly point to an external GitHub repository (`https://github.com/huifer/Claude-Ally-Health`) as its source. The actual code for this skill is not included in the provided scan context. This means the functionality of the skill relies on unverified external code, posing a supply chain risk. The `risk: "safe"` declaration in the manifest is a self-assessment and does not mitigate the risk of an unverified external dependency. Include the full skill source code within the package for comprehensive security scanning, or provide a mechanism to verify the integrity and safety of the external repository.	LLM	SKILL.md:15

Scan History

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