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Security Audit

common-installation-troubleshooting

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
79
TRUSTED
Scanned 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
3
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

common-installation-troubleshooting received a trust score of 79/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 4 findings: 0 critical, 0 high, 3 medium, and 1 low severity. Key findings include Missing required field: name, Recommendation to use `npm install --force` flag, Recommendation of specific `npm` packages introduces supply chain risk.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
84%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
1 finding
Dynamic Code
1 finding

Security Findings4

SeverityFindingLayerLocation

Scan History

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