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Security Audit

snyk/agent-scan:tests/skills/docx

github.com/snyk/agent-scan
AI SkillCommit 30a672c5e8ce
10
CRITICAL
Scanned 29 days ago
6
Critical
Immediate action required
8
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

snyk/agent-scan:tests/skills/docx received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 14 findings: 6 critical, 8 high, 0 medium, and 0 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, Dangerous call: subprocess.run().

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on March 1, 2026 (commit 30a672c5). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
55%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
4 findings
Shell Execution
12 findings
Dynamic Code
6 findings

Security Findings14

SeverityFindingLayerLocation

Scan History

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