Skip to main content

Security Audit

whoop

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
81
TRUSTED
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
3
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

whoop 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 3 findings: 0 critical, 0 high, 3 medium, and 0 low severity. Key findings include Suspicious import: urllib.request, Uncontrolled CDN dependency in generated HTML.

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
86%
Dependency Graph
100%
LLM Behavioral Safety
93%

Behavioral Risk Signals

Network Access
3 findings
Filesystem Write
1 finding
Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/af43a49d54a16689.svg)](https://skillshield.io/report/af43a49d54a16689)
SkillShield Badge

Powered by SkillShield