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Security Audit

wechat-search

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
2
Critical
Immediate action required
3
High
Priority fixes suggested
7
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

wechat-search 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 13 findings: 2 critical, 3 high, 7 medium, and 1 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Unpinned Python dependency version.

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
65%
LLM Behavioral Safety
69%

Behavioral Risk Signals

Network Access
4 findings
Filesystem Write
2 findings
Shell Execution
6 findings
Dynamic Code
2 findings
Excessive Permissions
1 finding

Security Findings13

SeverityFindingLayerLocation

Scan History

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