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Security Audit

oracle

github.com/openclaw/openclaw
AI SkillCommit b62bd290cb4e
81
TRUSTED
Scanned about 1 month ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

oracle received a trust score of 81/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Unpinned dependency in skill manifest, Skill enables broad local filesystem access for external transmission.

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
78%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
1 finding
Excessive Permissions
1 finding

Security Findings2

SeverityFindingLayerLocation

Scan History

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