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Security Audit

clawl-register

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
77
TRUSTED
Scanned about 1 month ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

clawl-register received a trust score of 77/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 3 findings: 0 critical, 1 high, 1 medium, and 1 low severity. Key findings include Data sent to unadvertised API endpoint, Broad file system access to sensitive configuration files, Outdated help text for `--gateway` option.

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
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
76%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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