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Security Audit

erc8004-identity

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
56
CAUTION
Scanned 2 months ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

erc8004-identity received a trust score of 56/100, 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: 1 critical, 0 high, 2 medium, and 0 low severity. Key findings include Credential harvesting, Missing required field: name, Unpinned npm dependency version.

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
70%
Static Code Analysis
93%
Dependency Graph
93%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Excessive Permissions
1 finding

Security Findings3

SeverityFindingLayerLocation

Scan History

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