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Security Audit

pulse

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
35
CRITICAL
Scanned about 1 month ago
1
Critical
Immediate action required
4
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

pulse received a trust score of 35/100, 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: 1 critical, 4 high, 0 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Command Injection via unsanitized endpoint in CLI wrapper, Hardcoded API Token in CLI wrapper.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 40/100, 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
70%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
40%

Behavioral Risk Signals

Network Access
3 findings
Filesystem Write
1 finding
Shell Execution
2 findings
Dynamic Code
2 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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