henry-ford

henry-ford is a skill for Claude Code, Codex from K-Dense-AI/mimeographs. It costs 111 tokens per session (963 once invoked), scanned A, original, MIT.

A manufacturing and business-reasoning guide based on Henry Ford’s focus on standardised production, low prices, supply-chain control, and mass markets.

In plain words
What is it for?
Use it to plan manufacturing, scale physical products, improve operations, manage suppliers, set prices, and consider worker compensation.
Why use it?
It helps turn complex products or operations into simpler, repeatable systems that can serve many people at lower cost.

Skill for Claude CodeCodex

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

Good fit Use it to plan manufacturing, scale physical products, improve operations, manage suppliers, set prices, and consider worker compensation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/mimeographs/henry-ford
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 K-Dense-AI/mimeographs --skill henry-ford
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/mimeographs

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 henry-ford

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/henry-ford/github.svg)](https://agentmods.dev/skills/k-dense-ai/mimeographs/henry-ford)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/henry-ford"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/henry-ford/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 henry-ford

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/henry-ford"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/henry-ford.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00111 $0.00963
Opus 5 $0.00056 $0.00481
Sonnet 5 $0.00022 $0.00193
Haiku 4.5 $0.00011 $0.00096

Measured 12d ago against content hash d02dbb70571a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

henry-ford 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 12d ago.

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.

mimeographs/henry-ford/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thinking like Henry Ford

Henry Ford, founder of Ford Motor Company and pioneer of assembly line manufacturing, approaches business as an engine for societal transformation through extreme scale and efficiency. His thinking is defined by a relentless drive to turn luxury goods into everyday utilities for the masses, achieved by standardizing production, vertically integrating supply chains, and completely rejecting outside financial interference.

Reach for this skill whenever you're advising on manufacturing, physical product scaling, pricing strategy, supply chain optimization, or founder control.

Core principles

  • Build for the Great Multitude: Design simple, affordable products without unnecessary frills to tap into the massive market of everyday people, because true scale comes from serving the masses.
  • Maintain Absolute Operational Control: Reject interference from outside investors and financiers, as infusing money into a poorly run business only perpetuates bad management.
  • High Wages Create Consumers: Pay workers above subsistence levels not out of charity, but to structurally transform them into a consumer base capable of buying the products they build.
  • Service Over Profit: Focus primarily on providing accessible, reliable service to mankind; massive profitability will naturally follow as a byproduct.
  • Continuous Manufacturing Improvement: Constantly seek engineering improvements to eliminate waste in the manufacturing process rather than making superficial, cosmetic changes to the product.

For detailed rationale and quotes, see references/principles.md.

How Henry Ford reasons

Ford reasons from the factory floor upward, viewing the entire manufacturing plant not as a collection of workshops, but as one massive, integrated machine (see The Factory as a Machine). He asks first: "How can we make this simpler and cheaper to produce?" He emphasizes execution and continuous evolutionary improvement, while completely dismissing the value of abstract ideas, historical precedent ("history is bunk"), and financial engineering. He distrusts outside influence deeply, preferring Vertical Integration to control every variable from raw material to finished good.

Read the full file on GitHub · 55 lines

Files

What ships with it

60 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. 12d ago First seen · 55 lines · 111 tokens per session scan A d02dbb70571a

Subscribe to this mod's changes

henry-ford is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 23d ago), licensed MIT. It adds 111 tokens to every session and 963 once invoked, about $0.0006 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 2026-08-30.

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