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Think Minimax Regret

Agent skill
1 skill

Produces a regret (opportunity-loss) matrix with the minimax pick and the binding worst-case state, choosing among options over un-probabilized states of nature. Use when a few discrete options face a few discrete uncontrollable states and no defensible probabilities exist. Not an expected-value tree (which needs probabilities) and not an attribute scorecard.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryGeneralStars0

About this skill

Produces a regret (opportunity-loss) matrix with the minimax pick and the binding worst-case state, choosing among options over un-probabilized states of nature. Use when a few discrete options face a few discrete uncontrollable states and no defensible probabilities exist. Not an expected-value tree (which needs probabilities) and not an attribute scorecard.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill

This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.

Automated security scan: Partial

Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.

0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: c6f669025f5c1356a8303e84d909705887437e1f08a4feabb3373004fc96e8a0

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About this listing

Category
General
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Think Minimax Regret | Agent Skills Atlas