Skip to main content

Security Audit

whoop

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
20
CRITICAL
Scanned about 2 months ago
2
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 20/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 5 findings: 2 critical, 0 high, 3 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Unsafe deserialization / dynamic eval, Suspicious import: requests.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 33/100, 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
33%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
93%

Behavioral Risk Signals

Network Access
4 findings
Shell Execution
1 finding
Dynamic Code
1 finding
Excessive Permissions
1 finding

Security Findings5

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/760bdb7328f78c84.svg)](https://skillshield.io/report/760bdb7328f78c84)
SkillShield Badge

Powered by SkillShield