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Security Audit

context-degradation

github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
AI SkillCommit 7942df36cfca
86
TRUSTED
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

context-degradation 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 Unsafe deserialization / dynamic eval, Incomplete Python script prevents full security analysis.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 11, 2026 (commit 7942df36). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
93%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
2 findings
Dynamic Code
2 findings

Security Findings2

SeverityFindingLayerLocation

Scan History

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