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Security Audit

universal-profile

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
3
Critical
Immediate action required
10
High
Priority fixes suggested
10
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

universal-profile 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 25 findings: 3 critical, 10 high, 10 medium, and 2 low severity. Key findings include Persistence / self-modification instructions, Credential harvesting, Unsafe deserialization / dynamic eval.

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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
70%
Dependency Graph
91%
LLM Behavioral Safety
68%

Behavioral Risk Signals

Filesystem Write
5 findings
Shell Execution
21 findings
Dynamic Code
18 findings
Excessive Permissions
3 findings

Security Findings25

SeverityFindingLayerLocation

Scan History

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