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Security Audit

qa-engineer

github.com/anton-abyzov/specweave
AI SkillCommit 1823c3f6cf4d
58
CAUTION
Scanned 5 days ago
1
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

qa-engineer received a trust score of 58/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 1 critical, 1 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Excessive 'Bash' permission declared, Excessive 'Write', 'Edit', 'Glob', and 'Grep' permissions declared.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 55/100, indicating areas for improvement.

Last analyzed on February 15, 2026 (commit 1823c3f6). 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
55%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
1 finding
Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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