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Security Audit

local-skills-mcp-guide

github.com/kdpa-llc/local-skills-mcp
AI SkillCommit 692d161e3fa8
10
CRITICAL
Scanned 11 days ago
3
Critical
Immediate action required
4
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

local-skills-mcp-guide 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 7 findings: 3 critical, 4 high, 0 medium, and 0 low severity. Key findings include File read + network send exfiltration, Sensitive path access: AI agent config, LLM analysis found no issues despite critical deterministic findings.

The analysis covered 4 layers: dependency_graph, static_code_analysis, manifest_analysis, llm_behavioral_safety. The manifest_analysis layer scored lowest at 10/100, indicating areas for improvement.

Last analyzed on February 9, 2026 (commit 692d161e). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
10%
Static Code Analysis
55%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Network Access
3 findings
Filesystem Write
6 findings
Shell Execution
3 findings
Dynamic Code
1 finding
Excessive Permissions
6 findings

Security Findings7

SeverityFindingLayerLocation

Scan History

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