first-principles

first-principles is a skill for Claude Code, Codex from 2428424081cn/Skill-mcp. It costs 41 tokens per session (309 once invoked), scanned A, original, MIT.

A guide to reasoning from basic facts and hard limits instead of relying on customary assumptions.

In plain words
What is it for?
Use it to break down a technical problem, identify assumptions, and build a solution from fundamentals such as time, memory, and network limits.
Why use it?
It helps separate genuine constraints from habits, so you can reconsider whether a familiar approach is actually necessary.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to break down a technical problem, identify assumptions, and build a solution from fundamentals such as time, memory, and network limits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/2428424081cn/skill-mcp/first-principles
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add 2428424081cn/Skill-mcp --skill first-principles
Clone the repo
git clone --depth 1 https://github.com/2428424081cn/Skill-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for first-principles

README.md
[![agentmods](https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/first-principles/github.svg)](https://agentmods.dev/skills/2428424081cn/skill-mcp/first-principles)
Your own site
<a href="https://agentmods.dev/skills/2428424081cn/skill-mcp/first-principles"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/first-principles/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for first-principles

Your own site · 80×15
<a href="https://agentmods.dev/skills/2428424081cn/skill-mcp/first-principles"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/first-principles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 309 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00309
Opus 5 $0.00020 $0.00154
Sonnet 5 $0.00008 $0.00062
Haiku 4.5 $0.00004 $0.00031

Measured 8d ago against content hash bfec95d07f3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

first-principles scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/first_principles_deconstruct.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/reasoning/first-principles/SKILL.md · 22 lines

What it actually says

第一性原理思考指南 (First Principles Reasoning)

第一性原理是亚里士多德与马斯克推崇的究极思考范式:把事物拆解到最基础的事实公理,然后从底层往上推导

三步推导法

第一步:识别并质疑所有“理所当然”的假设

列出所有传统做法中的习惯性假设:

  • “行业里大家都用 Redis 做这事” ➔ 为什么?是必须用,还是只是图省事?
  • “这个查询必须在 1 秒内完成” ➔ 真实物理限制是网络延迟还是序列化?

第二步:提取不可动摇的基础事实(Ground Truths / Axioms)

  • 计算机科学硬约束:时间复杂度、内存容量、光速网络 RTT、磁盘顺序读写与随机读写吞吐差异。

第三步:从底层事实自底向上重新构建解决方案

不参照任何现有框架,仅用基础积木搭建最简、最快、最本质的解法。

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 22 lines · 41 tokens per session scan A bfec95d07f3c

Subscribe to this mod's changes

first-principles is a skill published in the GitHub repository 2428424081cn/Skill-mcp (1 stars, last pushed 15d ago), licensed MIT. It adds 41 tokens to every session and 309 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens