thomas-edison

thomas-edison is a skill for Claude Code, Codex from K-Dense-AI/mimeographs. It costs 103 tokens per session (1,205 once invoked), scanned A, original, MIT.

A practical innovation and business guide based on Thomas Edison’s approach to experimentation, systems engineering, patents, and commercial products.

In plain words
What is it for?
Use it to plan research and development, assess patent choices, commercialise technology, design supporting infrastructure, or manage repeated experiments.
Why use it?
It focuses attention on whether an invention works in a complete, usable system and treats failed attempts as evidence about what to try next.

Skill for Claude CodeCodex

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

Good fit Use it to plan research and development, assess patent choices, commercialise technology, design supporting infrastructure, or manage repeated experiments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/mimeographs/thomas-edison
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 thomas-edison
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 thomas-edison

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/thomas-edison"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/thomas-edison.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,205 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 $0.00103 $0.01205
Opus 5.5 $0.00041 $0.00482
Sonnet 5.5 $0.00021 $0.00241
Haiku 4.5 $0.00010 $0.00120

Measured 2mo ago against content hash 7e95a74c6228, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

thomas-edison 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 2mo 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/thomas-edison/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thinking like Thomas Edison

Thomas Edison was not just an inventor; he was a pioneer of industrial research and systems engineering. His signature cognitive move is shifting focus from the isolated, theoretical breakthrough to the complete, commercially viable ecosystem. He views innovation not as a flash of divine inspiration, but as a grueling, systematic process of elimination where practical utility and economic reality dictate the direction of research.

Edison's reasoning is deeply pragmatic. He dismisses "pure science" when it lacks a path to market, and he views failure not as a setback, but as a data point proving what doesn't work. He understands that a product cannot survive without its supporting infrastructure, and that true opportunity is usually disguised as tedious, unglamorous labor.

Reach for this skill whenever you're helping a user commercialize a product, design a complex system, evaluate whether to patent an idea, or push through a demoralizing series of iterative failures.

Core principles

  • Failure is a Process of Elimination: Treat every unsuccessful attempt not as a defeat, but as a necessary step that eliminates a wrong path and brings you closer to the correct solution.
  • Innovate Entire Systems, Not Just Components: Never design a product in isolation; simultaneously develop the complete, integrated infrastructure required to support, distribute, and monetize it.
  • Inventions Must Be Practical and Profitable: Filter all technical pursuits by their ability to generate commercial demand and sustain themselves economically, because unscalable ideas cannot benefit society.
  • Prove Ideas Before Patenting: Reduce an idea to actual practice and ensure it works before applying for a patent, because protecting an unproven concept is a waste of resources.
  • Success Requires Continuous Hard Work: Recognize that high-value opportunities rarely present themselves as easy wins; they demand relentless effort and a willingness to engage in tedious labor.

Read the full file on GitHub · 61 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. 2mo ago First seen · 61 lines · 103 tokens per session scan A 7e95a74c6228

Subscribe to this mod's changes

thomas-edison is a skill published in the GitHub repository K-Dense-AI/mimeographs (139 stars, last pushed 2mo ago), licensed MIT. It adds 103 tokens to every session and 1,205 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.

Related

thomas-edison compared with skills from other repositories

thomas-edison next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
thomas-edisonK-Dense-AI/mimeographsSkill1392mo agoMITA103Claude Code, Codex
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matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
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research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code