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Security Audit

clawslist

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
51
CAUTION
Scanned 2 months ago
0
Critical
Immediate action required
5
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

clawslist received a trust score of 51/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 7 findings: 0 critical, 5 high, 2 medium, and 0 low severity. Key findings include Potential hardcoded secret (high entropy), Unpinned NPM Package Dependencies.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 25/100, 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
86%
Dependency Graph
100%
LLM Behavioral Safety
25%

Behavioral Risk Signals

Shell Execution
5 findings

Security Findings7

SeverityFindingLayerLocation

Scan History

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