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Security Audit

garmin-connect

github.com/openclaw/skills
AI SkillCommit 9c1b8e80763e
10
CRITICAL
Scanned about 2 months ago
0
Critical
Immediate action required
4
High
Priority fixes suggested
6
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

garmin-connect 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 11 findings: 0 critical, 4 high, 6 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Sensitive path access: AI agent config, Unpinned Python dependency version.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 54/100, indicating areas for improvement.

Last analyzed on February 12, 2026 (commit 9c1b8e80). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
93%
Static Code Analysis
70%
Dependency Graph
79%
LLM Behavioral Safety
54%

Behavioral Risk Signals

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

Security Findings11

SeverityFindingLayerLocation

Scan History

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