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Security Audit

gcal-pro

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
14
CRITICAL
Scanned about 2 months ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
8
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

gcal-pro received a trust score of 14/100, 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: 1 critical, 0 high, 8 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Suspicious import: requests, Suspicious import: socket.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Dependency Graph layer scored lowest at 58/100, 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
70%
Static Code Analysis
86%
Dependency Graph
58%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Network Access
4 findings
Excessive Permissions
2 findings

Security Findings9

SeverityFindingLayerLocation

Scan History

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