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Security Audit

georges91560/Anti-Injection-skill.md:root

github.com/georges91560/Anti-Injection-skill.md
AI SkillCommit b40fba9e9691
10
CRITICAL
Scanned about 1 month ago
7
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

georges91560/Anti-Injection-skill.md: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 9 findings: 7 critical, 1 high, 1 medium, and 0 low severity. Key findings include System prompt override / policy bypass, Arbitrary command execution, Missing required field: name.

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 22, 2026 (commit b40fba9e). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
63%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Network Access
1 finding
Shell Execution
2 findings
Dynamic Code
1 finding

Security Findings9

SeverityFindingLayerLocation

Scan History

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