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Security Audit

ktrendz-skill

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
20
CRITICAL
Scanned 3 months ago
5
Critical
Immediate action required
0
High
Priority fixes suggested
6
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

ktrendz-skill received a trust score of 20/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 12 findings: 5 critical, 0 high, 6 medium, and 1 low severity. Key findings include Missing required field: name, Sensitive environment variable access: $HOME, Node lockfile missing.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety 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
100%
Static Code Analysis
58%
Dependency Graph
98%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
5 findings
Filesystem Write
1 finding
Shell Execution
10 findings
Dynamic Code
5 findings
Excessive Permissions
5 findings

Security Findings12

SeverityFindingLayerLocation

Scan History

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