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Security Audit

telebiz-mcp

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
22
CRITICAL
Scanned 2 months ago
0
Critical
Immediate action required
4
High
Priority fixes suggested
2
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

telebiz-mcp received a trust score of 22/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 9 findings: 0 critical, 4 high, 2 medium, and 2 low severity. Key findings include Unsafe deserialization / dynamic eval, Sensitive environment variable access: $HOME, Unpinned npm dependency version.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 40/100, 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
40%
Static Code Analysis
93%
Dependency Graph
93%
LLM Behavioral Safety
96%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
7 findings
Dynamic Code
4 findings
Excessive Permissions
1 finding

Security Findings9

SeverityFindingLayerLocation

Scan History

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