Skip to main content

Security Audit

hugging-face-evaluation

github.com/huggingface/skills
AI SkillCommit 3f4f55d6264b
10
CRITICAL
Scanned 8 days ago
11
Critical
Immediate action required
10
High
Priority fixes suggested
15
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

hugging-face-evaluation 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 36 findings: 11 critical, 10 high, 15 medium, and 0 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, Suspicious import: requests.

The analysis covered 4 layers: dependency_graph, static_code_analysis, manifest_analysis, llm_behavioral_safety. The static_code_analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 11, 2026 (commit 3f4f55d6). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
44%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Network Access
3 findings
Shell Execution
21 findings
Dynamic Code
15 findings
Excessive Permissions
2 findings

Security Findings36

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/4abc65bc713a48e0.svg)](https://skillshield.io/report/4abc65bc713a48e0)
SkillShield Badge

Powered by SkillShield