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Security Audit

security-audit

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
72
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

security-audit received a trust score of 72/100, 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: 0 critical, 1 high, 2 medium, and 0 low severity. Key findings include Unsafe deserialization / dynamic eval, Sensitive environment variable access: $HOME, Arbitrary file write via --out argument.

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
93%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
2 findings
Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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