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Security Audit

tmustier/clean-slides:root

github.com/tmustier/clean-slides
AI SkillCommit eea068fffa74
10
CRITICAL
Scanned about 1 month ago
3
Critical
Immediate action required
34
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

tmustier/clean-slides:root 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 38 findings: 3 critical, 34 high, 1 medium, and 0 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, Dangerous call: subprocess.run().

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 March 2, 2026 (commit eea068ff). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
70%
Dependency Graph
93%
LLM Behavioral Safety
55%

Behavioral Risk Signals

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

Security Findings38

SeverityFindingLayerLocation

Scan History

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