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Security Audit

travel-planner

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
53
CAUTION
Scanned 2 months ago
1
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

travel-planner received a trust score of 53/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 1 critical, 1 high, 0 medium, and 1 low severity. Key findings include File read + network send exfiltration, Sensitive path access: AI agent config, Unpinned dependency in installation instructions.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

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
70%
Static Code Analysis
85%
Dependency Graph
100%
LLM Behavioral Safety
98%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
2 findings
Shell Execution
2 findings
Excessive Permissions
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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