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Security Audit

mediawiki-login-test

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
62
CAUTION
Scanned 3 months ago
10
Critical
Immediate action required
0
High
Priority fixes suggested
0
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

mediawiki-login-test received a trust score of 62/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 11 findings: 10 critical, 0 high, 0 medium, and 1 low severity. Key findings include Node lockfile missing, Command Injection via Sourced Configuration File, Command Injection via `eval` with Unsanitized Environment Variables.

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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

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

Behavioral Risk Signals

Network Access
6 findings
Filesystem Write
7 findings
Shell Execution
10 findings
Dynamic Code
10 findings

Security Findings11

SeverityFindingLayerLocation

Scan History

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