Skip to main content

Security Audit

tencentcloud-cvm-skill

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
13
Critical
Immediate action required
4
High
Priority fixes suggested
12
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

tencentcloud-cvm-skill 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 29 findings: 13 critical, 4 high, 12 medium, and 0 low severity. Key findings include Persistence / self-modification instructions, Sensitive environment variable access: $HOME, Sensitive environment variable access: $USER.

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 February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
8%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Filesystem Write
5 findings
Shell Execution
22 findings
Dynamic Code
10 findings
Excessive Permissions
12 findings

Security Findings29

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/776a8b7918836b7a.svg)](https://skillshield.io/report/776a8b7918836b7a)
SkillShield Badge

Powered by SkillShield