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Security Audit

doc-coauthoring

github.com/guanyang/antigravity-skills
AI SkillCommit 3e75fabdb24c
68
CAUTION
Scanned 6 days ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

doc-coauthoring received a trust score of 68/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 0 critical, 2 high, 1 medium, and 0 low severity. Key findings include Broad Data Access via Unspecified Integrations and Direct File System Reads, Unrestricted File Creation in Agent's Working Directory, Ambiguous `str_replace` Tool Call with Potential for Arbitrary File Modification.

The analysis covered 4 layers: dependency_graph, static_code_analysis, manifest_analysis, llm_behavioral_safety. The llm_behavioral_safety layer scored lowest at 63/100, indicating areas for improvement.

Last analyzed on February 15, 2026 (commit 3e75fabd). 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
63%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
3 findings
Shell Execution
2 findings
Dynamic Code
2 findings
Excessive Permissions
1 finding

Security Findings3

SeverityFindingLayerLocation

Scan History

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