Skip to main content

Security Audit

munger-observer

github.com/jdrhyne/agent-skills
AI SkillCommit 0676c56a8ab1
86
TRUSTED
Scanned 9 days ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

munger-observer received a trust score of 86/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Potential Path Traversal in Memory File Access, Vague Log Scanning Poses Data Exfiltration/Command Injection Risk.

The analysis covered 4 layers: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 11, 2026 (commit 0676c56a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
86%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

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

Security Findings2

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/fe5bc5333bf8bd09.svg)](https://skillshield.io/report/fe5bc5333bf8bd09)
SkillShield Badge

Powered by SkillShield