Skip to main content

Security Audit

agent-identity

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
60
CAUTION
Scanned about 2 months ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
1
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

agent-identity received a trust score of 60/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 1 critical, 0 high, 1 medium, and 2 low severity. Key findings include Unpinned npm dependency version, Node lockfile missing, Private Key Exposed via Command Line Argument.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 68/100, indicating areas for improvement.

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
100%
Static Code Analysis
100%
Dependency Graph
91%
LLM Behavioral Safety
68%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
3 findings
Dynamic Code
1 finding

Security Findings5

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/3cc8a54bef701d8d.svg)](https://skillshield.io/report/3cc8a54bef701d8d)
SkillShield Badge

Powered by SkillShield