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 thomas-edisongit 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/thomas-edison)<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.
<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>- 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 | $0.00103 | $0.01205 |
| Opus 5.5 | $0.00041 | $0.00482 |
| Sonnet 5.5 | $0.00021 | $0.00241 |
| Haiku 4.5 | $0.00010 | $0.00120 |
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.
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.
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 8.9 KB
- _workspace/clustered_corpus.e584bd6c.json 17 KB
- _workspace/discovery/books.json 11 KB
- _workspace/discovery/essays.json 12 KB
- _workspace/discovery/frameworks.json 11 KB
- _workspace/discovery/interviews.json 10 KB
- _workspace/discovery/letters.json 8.1 KB
- _workspace/discovery/papers.json 9.8 KB
- _workspace/discovery/podcasts.json 8.0 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 33 KB
- _workspace/discovery/talks.json 8.0 KB
- _workspace/distilled/src_002.e584bd6c.json 3.7 KB
- _workspace/distilled/src_003.e584bd6c.json 1.9 KB
- _workspace/distilled/src_004.e584bd6c.json 574 B
- _workspace/distilled/src_005.e584bd6c.json 535 B
- _workspace/distilled/src_007.e584bd6c.json 519 B
- _workspace/distilled/src_011.e584bd6c.json 573 B
- _workspace/distilled/src_014.e584bd6c.json 2.8 KB
- _workspace/distilled/src_015.e584bd6c.json 1.5 KB
- _workspace/distilled/src_016.e584bd6c.json 4.4 KB
- _workspace/distilled/src_017.e584bd6c.json 364 B
- _workspace/distilled/src_019.e584bd6c.json 1.8 KB
- _workspace/distilled/src_020.e584bd6c.json 658 B
- _workspace/distilled/src_026.e584bd6c.json 5.6 KB
- _workspace/distilled/src_029.e584bd6c.json 359 B
- _workspace/distilled/src_030.e584bd6c.json 405 B
- _workspace/distilled/src_033.e584bd6c.json 449 B
- _workspace/distilled/src_044.e584bd6c.json 2.3 KB
- _workspace/distilled/src_048.e584bd6c.json 3.7 KB
- _workspace/distilled/src_050.e584bd6c.json 498 B
- _workspace/distilled/src_052.e584bd6c.json 496 B
- _workspace/distilled/src_056.e584bd6c.json 405 B
- _workspace/distilled/src_058.e584bd6c.json 428 B
- _workspace/distilled/src_059.e584bd6c.json 497 B
- _workspace/distilled/src_060.e584bd6c.json 366 B
- _workspace/distilled/src_061.e584bd6c.json 313 B
- _workspace/raw/src_002.json 7.8 KB
- _workspace/raw/src_003.json 4.2 KB
- _workspace/raw/src_004.json 1.6 KB
- _workspace/raw/src_005.json 4.3 KB
- _workspace/raw/src_007.json 5.7 KB
- _workspace/raw/src_011.json 20 KB
- _workspace/raw/src_014.json 1.5 KB
- _workspace/raw/src_015.json 22 KB
- _workspace/raw/src_016.json 4.7 KB
- _workspace/raw/src_017.json 368 B
- _workspace/raw/src_019.json 789 B
- _workspace/raw/src_020.json 2.7 KB
- _workspace/raw/src_026.json 34 KB
- _workspace/raw/src_029.json 2.6 KB
- _workspace/raw/src_030.json 2.6 KB
- _workspace/raw/src_033.json 1.8 KB
- _workspace/raw/src_044.json 8.4 KB
- _workspace/raw/src_048.json 36 KB
- _workspace/raw/src_050.json 3.6 KB
- _workspace/raw/src_052.json 8.6 KB
- _workspace/raw/src_056.json 5.7 KB
- _workspace/raw/src_058.json 4.0 KB
- _workspace/raw/src_059.json 7.2 KB
- _workspace/raw/src_060.json 343 B
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.
- 2mo ago First seen · 61 lines · 103 tokens per session scan A 7e95a74c6228
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.
thomas-edison compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| thomas-edisonK-Dense-AI/mimeographs | Skill | 139 | 2mo ago | MIT | A | 103 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |