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Security Audit

session-logs

github.com/openclaw/openclaw
AI SkillCommit b62bd290cb4e
73
CAUTION
Scanned 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

session-logs 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 2 findings: 0 critical, 2 high, 0 medium, and 0 low severity. Key findings include Potential Command Injection in `rg` search pattern, Potential Command Injection in file path placeholder.

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 18, 2026 (commit b62bd290). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
70%

Behavioral Risk Signals

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

Security Findings2

SeverityFindingLayerLocation

Scan History

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