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Security Audit

pdf

github.com/anthropics/skills
AI SkillCommit 1ed29a03dc85
72
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
4
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

pdf received a trust score of 72/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 0 critical, 0 high, 4 medium, and 0 low severity. Key findings include Arbitrary File Write via Unsanitized Output Path, Monkey Patching of Third-Party Library.

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 11, 2026 (commit 1ed29a03). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
72%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Filesystem Write
4 findings
Excessive Permissions
4 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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