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Security Audit

xiaohongshu

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
2
Critical
Immediate action required
5
High
Priority fixes suggested
1
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

xiaohongshu received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 10 findings: 2 critical, 5 high, 1 medium, and 2 low severity. Key findings include Persistence / self-modification instructions, Persistence mechanism: systemd service, Unpinned third-party binary download.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis 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
40%
Static Code Analysis
70%
Dependency Graph
100%
LLM Behavioral Safety
44%

Behavioral Risk Signals

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

Security Findings10

SeverityFindingLayerLocation

Scan History

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