think-minimax-regret SKILL.md skillA

think-minimax-regret from product-on-purpose/thinking-framework-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add product-on-purpose/thinking-framework-skills/think-minimax-regret@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
product-on-purpose/thinking-framework-skills
Path
skills/think-minimax-regret/SKILL.md
Versions recorded
3
Latest version
v0.1.0, committed Oct 16, 2026
First version recorded
Jun 10, 2026
Size
11,963 bytes
Repository stars
25
License
Apache-2.0

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 -->
# Minimax Regret

Some choices pit a few options you control against a few states of the world you do not - the market runs hot, flat, or cold; the rival enters or stays out; the regulation passes or fails - and there is no defensible way to attach probabilities to those states. Expected value cannot run there, because it needs a distribution that does not exist. Minimax regret is the criterion built for exactly that regime. The durable cognitive move is to stop scoring raw payoff and start scoring **opportunity loss**: for each state, ask how much worse off this option leaves you than the option that turns out best in that state, then choose the option whose single worst regret across all states is smallest. It is Savage's less-pessimistic relative of Wald's maximin - it hedges against being badly wrong without throwing away all upside to protect a worst case that barely moves. The output is a **regret matrix with the per-option maximum regret, the minimax pick marked, and the state that binds that pick** - built with no probabilities over the states.

## When to Use
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add product-on-purpose/thinking-framework-skills/think-minimax-regret@sha256:c6f669025f5c1356

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_n7mswibhdpb44ldc.svg)](https://markdownregistry.com/a/art_n7mswibhdpb44ldc)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jun 10, 2026 and Oct 16, 2026, about one every 64 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-16 28965de 11,963 BA view · diff
v0.1.02026-06-17 d077417 11,913 BA view · diff
v0.1.02026-06-10 d0b4a33 11,534 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11963 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

product-on-purpose/thinking-framework-skills · 25 stars · license Apache-2.0 · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_n7mswibhdpb44ldc
GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/thinking-framework-skills/think-minimax-regret
GET https://markdownregistry.com/api/v1/blob/c6f669025f5c1356a8303e84d909705887437e1f08a4feabb3373004fc96e8a0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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