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Security Audit

affaan-m/everything-claude-code:.cursor/skills/continuous-learning

github.com/affaan-m/everything-claude-code
AI SkillCommit db27ba1eb225
0
CRITICAL
Scanned about 1 month ago
8
Critical
Immediate action required
9
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

affaan-m/everything-claude-code:.cursor/skills/continuous-learning received a trust score of 0/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 19 findings: 8 critical, 9 high, 2 medium, and 0 low severity. Key findings include File read + network send exfiltration, Sensitive path access: AI agent config, Sensitive environment variable access: $HOME.

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 24, 2026 (commit db27ba1e). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
100%
LLM Behavioral Safety
78%

Behavioral Risk Signals

Network Access
8 findings
Filesystem Write
18 findings
Shell Execution
11 findings
Dynamic Code
2 findings
Excessive Permissions
18 findings

Security Findings19

SeverityFindingLayerLocation

Scan History

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