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Academic Competitive Strategy Analysis using TCE, Game Theory, and T3 Model

100 / 100 · Low risk

Fine to try.

By ECNU-ICALK/AutoSkill (GitHub) · research · 613 stars · scanned at commit 94c47ca

Analyzes competitive dynamics between two firms using Transaction Cost Economics and Game Theory, structured via an action-reaction sequence and the T3 model, while evaluating Nash equilibrium and including academic citations.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'academic-competitive-strategy-analysis-using-tce-game-theory-and' ] || [ -L ~/.agents/skills/'academic-competitive-strategy-analysis-using-tce-game-theory-and' ]; then echo 'A skill folder named academic-competitive-strategy-analysis-using-tce-game-theory-and already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ECNU-ICALK/AutoSkill' "$d" && git -C "$d" checkout --quiet '94c47ca488d4ba4117d20272e66d49b9877e68cf' -- 'SkillBank/ConvSkill/english_gpt4_8/academic-competitive-strategy-analysis-using-tce-game-theory-and' && mkdir -p ~/.agents/skills && cp -R "$d"/'SkillBank/ConvSkill/english_gpt4_8/academic-competitive-strategy-analysis-using-tce-game-theory-and' ~/.agents/skills/'academic-competitive-strategy-analysis-using-tce-game-theory-and' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'academic-competitive-strategy-analysis-using-tce-game-theory-and' ~/.claude/skills/'academic-competitive-strategy-analysis-using-tce-game-theory-and' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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