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Security Audit

feishu-bitable

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
63
CAUTION
Scanned 3 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
4
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

feishu-bitable received a trust score of 63/100, 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, 1 high, 4 medium, and 0 low severity. Key findings include Missing required field: name, Unpinned npm dependency version, Outdated Dependency: node-fetch.

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
71%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
1 finding
Shell Execution
1 finding
Dynamic Code
2 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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