Skip to main content

Security Audit

skillfence

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
10
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

skillfence 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 13 findings: 10 critical, 1 high, 1 medium, and 1 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, Node lockfile missing.

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 February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
100%
Dependency Graph
98%
LLM Behavioral Safety
93%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
2 findings
Shell Execution
11 findings
Dynamic Code
3 findings

Security Findings13

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/0cf01da3edd6d018.svg)](https://skillshield.io/report/0cf01da3edd6d018)
SkillShield Badge

Powered by SkillShield