Security Audit

basecamp-automation

github.com/sickn33/antigravity-awesome-skills

AI SkillCommit e36d6fd3b3f6

TRUSTED

Scanned about 19 hours ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

basecamp-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 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 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%

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unpinned dependency in manifest The skill's manifest specifies a dependency on 'rube' without a version constraint. This allows any version of the 'rube' MCP to be used, which could introduce breaking changes, bugs, or security vulnerabilities if a future version is compromised or behaves unexpectedly. Pinning dependencies helps ensure consistent and secure behavior. Pin the 'rube' dependency to a specific version or a version range (e.g., `"rube": "1.2.3"` or `"rube": "^1.0.0"`) in the manifest to ensure consistent and secure behavior.	LLM	Manifest:1

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