parallel-feature-development

github.com/wshobson/agents

Trust Assessment

parallel-feature-development received a trust score of 100/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.

SkillShield's automated analysis found no security findings for this skill, indicating clean results across all evaluated layers.

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 5d65aa10). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

• Manifest Analysis: Validates SKILL.md schema, permissions declarations, and tool configurations
  100%
• Static Code Analysis: Scans source code for dangerous patterns, injection risks, and unsafe operations
  100%
• Dependency Graph: Checks dependencies for known vulnerabilities and supply chain risks
  100%
• LLM Behavioral Safety: AI-powered semantic analysis of tool behavior and data flow patterns
  100%

Security Findings

0

No findings detected. This skill appears clean.

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