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Security Audit

huggingface-papers

github.com/huggingface/skills
AI SkillCommit 80f9fa530e46
71
CAUTION
Scanned 14 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

huggingface-papers received a trust score of 71/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Indirect Prompt Injection via Untrusted Paper Content, Potential Command Injection via Unsanitized Paper ID.

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 October 1, 2026 (commit 80f9fa53). 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
78%

Behavioral Risk Signals

Network Access
2 findings
Shell Execution
2 findings
Dynamic Code
2 findings

Security Findings2

SeverityFindingLayerLocation

Scan History

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