# Intersection Evaluation

> Evaluate exploration status of each cell in a method×problem matrix, annotating as explored, partial, or unexplored.

- Skill: `yogsoth-ai/intersection-evaluation-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/intersection-evaluation-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/intersection-evaluation-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/yogsoth-ai/intersection-evaluation-2

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# Intersection Evaluation

Evaluate the exploration status of each cell in a method×problem matrix and prioritize unexplored intersections.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Evaluation requires careful assessment of each intersection's exploration depth, consulting literature and benchmarks. Benefits from focused context to maintain consistent evaluation criteria.

