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Security Audit

feishu-task

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
71
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
5
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

feishu-task received a trust score of 71/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 0 critical, 0 high, 5 medium, and 0 low severity. Key findings include Missing required field: name, Unpinned npm dependency version, Unsanitized user input in task origin URL.

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
100%
Static Code Analysis
93%
Dependency Graph
93%
LLM Behavioral Safety
79%

Behavioral Risk Signals

Network Access
1 finding

Security Findings5

SeverityFindingLayerLocation

Scan History

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