first-principles-thinking

first-principles-thinking is a Structured reasoning & decision frameworks skill for AI agents, published by Mybono in the ai-orchestrator repository on GitHub. Skillspace rates first-principles-thinking D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Systematically decompose complex problems into fundamental truths and reason up from there, avoiding the trap of reasoning by analogy. Trigger when the user asks: "analyze from first principles", "第一性原理", "think from scratch", "is this the right approach", "challenge assumptions", "проанализируй архитектуру", "правильно ли мы это делаем?", "есть вариант лучше?", or when making major architectural decisions.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
100

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
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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