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Security Audit

domain-identification-grouping

github.com/tech-leads-club/agent-skills
AI SkillCommit 5e8b8e759095
10
CRITICAL
Scanned 16 days ago
4
Critical
Immediate action required
0
High
Priority fixes suggested
4
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

domain-identification-grouping 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 8 findings: 4 critical, 0 high, 4 medium, and 0 low severity. Key findings include Persistence / self-modification instructions, Persistence mechanism: Shell RC file modification.

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 July 1, 2026 (commit 5e8b8e75). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
72%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Filesystem Write
8 findings
Shell Execution
8 findings

Security Findings8

SeverityFindingLayerLocation

Scan History

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