regret-minimization

regret-minimization is a Structured reasoning & decision frameworks skill for AI agents, published by guia-matthieu in the clawfu-skills repository on GitHub. Skillspace rates regret-minimization D (63/100) and it passed the safety scan; the rating is based on static analysis only.

Make decisions that your 80-year-old self will thank you for. Master Jeff Bezos' mental model for bold choices that minimize long-term regret. Use when: **Career decisions** with long-term implications; **Startup vs. safe job** choices; **Major life pivots** (relocations, relationships, changes); **Risk-taking decisions** where fear is a factor; **Opportunity evaluation** when considering bold moves

Grade
D
Quality
63 / 100
Safety
Passed
GitHub stars
134

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
79 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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