axiom
Lets your agent audit assumptions in any text. It classifies and ranks hidden assumptions, helping to rebuild conclusions from verified premises.
What it does
Axiom helps you analyze important decisions by separating facts from beliefs. It finds hidden assumptions behind a problem, classifies them, and shows which ones are riskiest for you to investigate.
When to use it
- ✓When making a major life or career decision.
- ✓When stress-testing a business or product idea.
- ✓When you suspect a belief you hold might be wrong.
Example of what to ask your AI
“I'm deciding whether to change careers. What are the assumptions behind this decision?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
First, it confirms you're thinking about the right problem. Then, it finds your hidden assumptions at different levels, classifies them (fact, convention, belief, interest), and calculates which are the most fragile and impactful.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill axiomOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/axiom/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Axiom — First-Principles Assumption Auditor / 第一性原理拆解器
Strip any question down to its irreducible truths, then rebuild from there. This is not framework fill-in-the-blank — it is assumption prosecution.
把任何问题强制剥离到"不可再拆的最小真相单元",再从那里重建。 不是框架填空,是假设审判。
Language Rule / 语言规则
Auto-detect the user's input language and respond entirely in that language throughout the session. If the user writes in Chinese, all phases, labels, and outputs must be in Chinese. If the user writes in English, all phases, labels, and outputs must be in English. Do NOT mix languages unless the user explicitly switches.
When to Use This Skill / 何时使用
- A major life or career decision is on the table (quitting a job, starting a company, buying a house)
- You want to stress-test a business direction or product hypothesis
- You suspect a belief you hold might be wrong but can't articulate why
- You need to cut through complexity and find the real bottleneck
- Someone asks you to "think from first principles" or "break it down"
Trigger phrases (中文): 第一性原理 / 帮我想清楚 / 拆解一下 / 从底层分析 / 这个假设对吗 / 我在做一个决定 / 从根本上分析 / 底层逻辑 / 元问题 / 重新思考 / 有没有想错 / axiom
Trigger phrases (English): first principles / break it down / question my assumptions / think from scratch / challenge this belief / audit my reasoning / what am I missing / help me think clearly / axiom
What This Skill Does / 核心能力
- Problem Reframing / 问题澄清 — Confirms the question itself is correctly defined before touching assumptions
- Assumption Mining / 假设挖掘 — Systematically surfaces 8-12 hidden assumptions across three depth layers
- Assumption Classification / 假设分类 — Force-labels every assumption into one of four types with different challenge strategies
- Risk Ranking / 优先级排序 — Scores each assumption on Fragility × Impact and outputs a "Most Dangerous Top 3"
- Reconstruction / 重建 — Rebuilds conclusions from verified premises only, explicitly comparing "before vs after" cognitive shift
The 5-Phase Process / 拆解流程 — 5 阶段
Phase 1: Problem Reframing — What are you REALLY trying to solve?
阶段1:问题澄清 — 你真正想解决的是什么?
Do NOT start decomposing assumptions yet. First confirm the problem itself is correctly defined.
Many people ask "Should I quit my job?" when the real question is "Why can't I grow in my current role?" These are fundamentally different problems with different assumption sets.
Ask:
- Who defined this problem? You, someone else's expectations, or a social narrative?
- Is this the root problem, or a symptom of something deeper?
- Restate the core question in one sentence.
Output: A single reframed core question, presented to the user for confirmation before proceeding.
先不拆假设,先确认问题本身没有被误定义。 很多人问"我该不该换工作",但真正的问题是"我在当前工作里能不能成长"。 Axiom 先问:这个问题是谁定义的?是你自己、他人期待、还是社会叙事? 输出:一句重新表述的核心问题,供用户确认。
Phase 2: Assumption Mining — What are you believing without proof?
阶段2:假设挖掘 — 你在相信什么?
Systematically mine hidden assumptions in three layers:
| Layer | Description | Example |
|---|---|---|
| Surface | Obvious, often stated aloud | "I need more money" |
| Middle | Industry conventions, common wisdom | "A degree is required for good jobs" |
| Deep | Never questioned, feels like gravity | "Success means financial independence" |
Goal: Find 8-12 assumptions. The more concrete, the better. Reject vague statements like "I think this is right" — force specificity.
When detecting the user's scenario type, reference the appropriate scenario checklist from references/scenarios.md to ensure thorough mining.
系统性挖掘隐含假设,分三层:
- 表层假设(显而易见的)
- 中层假设(行业惯例或常识)
- 深层假设(你从未质疑过、觉得"天经地义"的信念)
深层假设才是最有价值的。 目标:找到 8-12 个假设,越具体越好,不接受模糊的"我以为这样更好"。
Phase 3: Assumption Classification — What is the nature of this belief?
阶段3:假设分类 — 这个信念的本质是什么?
Label every assumption with one of four types. Each type has a fundamentally different challenge strategy:
| Type | Label | Definition | Challenge Strategy |
|---|---|---|---|
| 🔵 | Physical Fact / 物理事实 | Laws of nature, mathematical truths. Cannot be changed. | Accept it. Do not waste energy questioning gravity. |
| 🟡 | Historical Convention / 历史惯例 | Once valid, widely practiced. | Check if the environment has changed. What was true in 2010 may not be true now. |
…
FAQ
What are 'first principles'?
These are the fundamental, irreducible truths about something – the bedrock. Axiom helps you return to this bedrock to analyze a problem.
How does it classify assumptions?
It categorizes them as Physical Fact (laws of nature), Historical Convention (old practices), Subjective Belief (personal opinions), and Interest-Driven (who benefits). Each type is analyzed differently.
What do 'fragility' and 'impact' mean?
Fragility is how easily an assumption can be proven wrong. Impact is how crucial it is to your conclusion. Axiom focuses on assumptions with high fragility AND high impact.
Details
Original description by the author
First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and rebuilds conclusions from verified premises. Bilingual: auto-detects Chinese or English.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2260
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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