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Security Audit

pdf

github.com/anthropics/skills
AI SkillCommit 1ed29a03dc85
72
CAUTION
Scanned 9 days 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, llm_behavioral_safety, static_code_analysis, dependency_graph. 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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