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Security Audit

web-quality-audit

github.com/tech-leads-club/agent-skills
AI SkillCommit f4b5c7d699b8
63
CAUTION
Scanned 9 days ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

web-quality-audit received a trust score of 63/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 1 critical, 0 high, 1 medium, and 0 low severity. Key findings include Command Injection via Unsanitized Input to find command, JSON Output Injection / Malformed JSON.

The analysis covered 4 layers: dependency_graph, static_code_analysis, manifest_analysis, llm_behavioral_safety. The static_code_analysis layer scored lowest at 63/100, indicating areas for improvement.

Last analyzed on February 11, 2026 (commit f4b5c7d6). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
63%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

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

Security Findings2

SeverityFindingLayerLocation

Scan History

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