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.
npx skills add K-Dense-AI/mimeographs --skill henry-fordgit clone --depth 1 https://github.com/K-Dense-AI/mimeographsWrote 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.
[](https://agentmods.dev/skills/k-dense-ai/mimeographs/henry-ford)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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.
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.
- _workspace/agents_output.e584bd6c.json 9.5 KB
- _workspace/clustered_corpus.e584bd6c.json 17 KB
- _workspace/discovery/books.json 5.0 KB
- _workspace/discovery/essays.json 9.8 KB
- _workspace/discovery/frameworks.json 7.5 KB
- _workspace/discovery/interviews.json 5.5 KB
- _workspace/discovery/letters.json 5.4 KB
- _workspace/discovery/papers.json 6.7 KB
- _workspace/discovery/podcasts.json 4.8 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 19 KB
- _workspace/discovery/talks.json 6.3 KB
- _workspace/distilled/src_000.e584bd6c.json 3.6 KB
- _workspace/distilled/src_001.e584bd6c.json 629 B
- _workspace/distilled/src_003.e584bd6c.json 2.2 KB
- _workspace/distilled/src_005.e584bd6c.json 2.4 KB
- _workspace/distilled/src_006.e584bd6c.json 4.1 KB
- _workspace/distilled/src_011.e584bd6c.json 4.8 KB
- _workspace/distilled/src_012.e584bd6c.json 589 B
- _workspace/distilled/src_014.e584bd6c.json 1.5 KB
- _workspace/distilled/src_021.e584bd6c.json 401 B
- _workspace/distilled/src_022.e584bd6c.json 3.1 KB
- _workspace/distilled/src_025.e584bd6c.json 4.8 KB
- _workspace/distilled/src_028.e584bd6c.json 4.1 KB
- _workspace/distilled/src_032.e584bd6c.json 633 B
- _workspace/distilled/src_034.e584bd6c.json 447 B
- _workspace/distilled/src_036.e584bd6c.json 363 B
- _workspace/distilled/src_044.e584bd6c.json 3.8 KB
- _workspace/distilled/src_047.e584bd6c.json 4.0 KB
- _workspace/distilled/src_048.e584bd6c.json 4.8 KB
- _workspace/distilled/src_050.e584bd6c.json 831 B
- _workspace/distilled/src_061.e584bd6c.json 499 B
- _workspace/distilled/src_062.e584bd6c.json 489 B
- _workspace/distilled/src_065.e584bd6c.json 387 B
- _workspace/distilled/src_067.e584bd6c.json 526 B
- _workspace/distilled/src_068.e584bd6c.json 477 B
- _workspace/distilled/src_071.e584bd6c.json 1.5 KB
- _workspace/raw/src_000.json 15 KB
- _workspace/raw/src_001.json 4.0 KB
- _workspace/raw/src_003.json 12 KB
- _workspace/raw/src_005.json 39 KB
- _workspace/raw/src_006.json 13 KB
- _workspace/raw/src_011.json 56 KB
- _workspace/raw/src_012.json 17 KB
- _workspace/raw/src_014.json 31 KB
- _workspace/raw/src_021.json 3.0 KB
- _workspace/raw/src_022.json 49 KB
- _workspace/raw/src_025.json 9.9 KB
- _workspace/raw/src_028.json 33 KB
- _workspace/raw/src_032.json 25 KB
- _workspace/raw/src_034.json 8.9 KB
- _workspace/raw/src_036.json 456 B
- _workspace/raw/src_044.json 31 KB
- _workspace/raw/src_047.json 12 KB
- _workspace/raw/src_048.json 35 KB
- _workspace/raw/src_050.json 5.5 KB
- _workspace/raw/src_061.json 15 KB
- _workspace/raw/src_062.json 6.1 KB
- _workspace/raw/src_065.json 2.6 KB
- _workspace/raw/src_067.json 19 KB
- _workspace/raw/src_068.json 3.9 KB
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.
- 12d ago First seen · 55 lines · 111 tokens per session scan A d02dbb70571a
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.
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