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Security Audit

scalekit-auth

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
73
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
4
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

scalekit-auth received a trust score of 73/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 4 findings: 0 critical, 0 high, 4 medium, and 0 low severity. Key findings include Unpinned Python dependency version, Unpinned dependencies in requirements.txt.

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 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

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

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
1 finding

Security Findings4

SeverityFindingLayerLocation

Scan History

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