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Security Audit

autoclaw-cc/xiaohongshu-skills:root

github.com/autoclaw-cc/xiaohongshu-skills
AI SkillCommit c26fa986493f
10
CRITICAL
Scanned 26 days ago
8
Critical
Immediate action required
12
High
Priority fixes suggested
7
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

autoclaw-cc/xiaohongshu-skills:root 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 27 findings: 8 critical, 12 high, 7 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Arbitrary command execution, Unsafe deserialization / dynamic eval.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on March 11, 2026 (commit c26fa986). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
93%
LLM Behavioral Safety
70%

Behavioral Risk Signals

Network Access
9 findings
Filesystem Write
6 findings
Shell Execution
15 findings
Dynamic Code
4 findings
Excessive Permissions
7 findings

Security Findings27

SeverityFindingLayerLocation

Scan History

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