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Security Audit

whoop-integration

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
18
CRITICAL
Scanned about 2 months ago
0
Critical
Immediate action required
3
High
Priority fixes suggested
5
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

whoop-integration received a trust score of 18/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 9 findings: 0 critical, 3 high, 5 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Suspicious import: requests, Potential data exfiltration: file read + network send.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 27/100, 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
93%
Static Code Analysis
27%
Dependency Graph
100%
LLM Behavioral Safety
98%

Behavioral Risk Signals

Network Access
7 findings
Filesystem Write
4 findings
Shell Execution
1 finding
Dynamic Code
1 finding
Excessive Permissions
5 findings

Security Findings9

SeverityFindingLayerLocation

Scan History

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