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Security Audit

linkerd-patterns

github.com/wshobson/agents
AI SkillCommit 0818067b4eca
25
CRITICAL
Scanned about 2 months ago
2
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

linkerd-patterns received a trust score of 25/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 3 findings: 2 critical, 1 high, 0 medium, and 0 low severity. Key findings include Arbitrary command execution, Remote code execution: curl/wget pipe to shell, Direct execution of remote script via curl | sh.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 55/100, indicating areas for improvement.

Last analyzed on June 1, 2026 (commit 0818067b). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
55%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Network Access
2 findings
Shell Execution
3 findings
Dynamic Code
1 finding

Security Findings3

SeverityFindingLayerLocation

Scan History

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