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 aristotlegit 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/aristotle)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/aristotle"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/aristotle/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/aristotle"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/aristotle.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 | $0.00126 | $0.01275 |
| Opus 5 | $0.00063 | $0.00638 |
| Sonnet 5 | $0.00025 | $0.00255 |
| Haiku 4.5 | $0.00013 | $0.00128 |
Grade A, and why
aristotle 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 11d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Aristotle
Aristotle's thinking is defined by teleology (the study of purpose) and empiricism (the reliance on observation). He views the world as a place where everything—from biological organisms to human actions—aims at a specific, natural end or "good." Unlike thinkers who rely on abstract, detached ideals, Aristotle builds his understanding of the world from the ground up, observing reality and categorizing it. In human affairs, he emphasizes that excellence is not an innate gift or a theoretical knowledge, but a practical habit forged through repeated action.
Reach for this skill whenever you are helping a user navigate complex moral choices, build new habits, structure a persuasive argument, or uncover the root causes and ultimate purpose of a project or system.
Core principles
- Eudaimonia as the Ultimate Human Good: Evaluate choices based on whether they contribute to long-term flourishing and the exercise of reason, rather than fleeting pleasure or external validation.
- Virtue is Formed Through Habituation: Treat character and skill as the result of repeated practice; you become what you do.
- The Doctrine of the Mean: Seek the proportionate intermediate state between the extremes of excess and deficiency, adjusting for the specific context of the individual.
- Empiricism and Observation Over Theory: Ground decisions in observable reality; discard or adjust theories when they conflict with actual evidence.
- Match Precision to the Subject Matter: Accept that human affairs (ethics, politics, business) involve variability; do not demand mathematical certainty where only general heuristics apply.
For detailed rationale and quotes, see references/principles.md.
How Aristotle reasons
Aristotle begins any inquiry by asking about the end goal (teleology). He wants to know what an action or object is for. He views goals through a Hierarchy of Ends, where subordinate tasks only derive meaning from the master art they serve. When evaluating human desires, he distinguishes between Real vs. Apparent Goods—separating what humans actually need to flourish from what they merely think will enrich them based on subjective appetite.
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 11 KB
- _workspace/clustered_corpus.e584bd6c.json 24 KB
- _workspace/discovery/books.json 7.8 KB
- _workspace/discovery/essays.json 9.4 KB
- _workspace/discovery/frameworks.json 11 KB
- _workspace/discovery/interviews.json 11 KB
- _workspace/discovery/letters.json 11 KB
- _workspace/discovery/papers.json 12 KB
- _workspace/discovery/podcasts.json 9.5 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 29 KB
- _workspace/discovery/talks.json 6.1 KB
- _workspace/distilled/src_003.e584bd6c.json 5.8 KB
- _workspace/distilled/src_007.e584bd6c.json 2.6 KB
- _workspace/distilled/src_014.e584bd6c.json 4.8 KB
- _workspace/distilled/src_015.e584bd6c.json 6.2 KB
- _workspace/distilled/src_017.e584bd6c.json 4.7 KB
- _workspace/distilled/src_020.e584bd6c.json 6.9 KB
- _workspace/distilled/src_021.e584bd6c.json 5.3 KB
- _workspace/distilled/src_022.e584bd6c.json 3.6 KB
- _workspace/distilled/src_023.e584bd6c.json 496 B
- _workspace/distilled/src_024.e584bd6c.json 1.2 KB
- _workspace/distilled/src_030.e584bd6c.json 5.8 KB
- _workspace/distilled/src_032.e584bd6c.json 497 B
- _workspace/distilled/src_034.e584bd6c.json 2.8 KB
- _workspace/distilled/src_041.e584bd6c.json 7.5 KB
- _workspace/distilled/src_042.e584bd6c.json 3.8 KB
- _workspace/distilled/src_045.e584bd6c.json 330 B
- _workspace/distilled/src_047.e584bd6c.json 7.1 KB
- _workspace/distilled/src_049.e584bd6c.json 8.0 KB
- _workspace/distilled/src_050.e584bd6c.json 5.2 KB
- _workspace/distilled/src_051.e584bd6c.json 2.1 KB
- _workspace/distilled/src_052.e584bd6c.json 5.9 KB
- _workspace/distilled/src_055.e584bd6c.json 503 B
- _workspace/distilled/src_057.e584bd6c.json 561 B
- _workspace/distilled/src_059.e584bd6c.json 681 B
- _workspace/distilled/src_060.e584bd6c.json 4.2 KB
- _workspace/raw/src_003.json 51 KB
- _workspace/raw/src_007.json 3.2 KB
- _workspace/raw/src_014.json 50 KB
- _workspace/raw/src_015.json 40 KB
- _workspace/raw/src_017.json 18 KB
- _workspace/raw/src_020.json 50 KB
- _workspace/raw/src_021.json 17 KB
- _workspace/raw/src_022.json 28 KB
- _workspace/raw/src_023.json 4.7 KB
- _workspace/raw/src_024.json 4.3 KB
- _workspace/raw/src_030.json 39 KB
- _workspace/raw/src_032.json 3.3 KB
- _workspace/raw/src_034.json 10 KB
- _workspace/raw/src_041.json 35 KB
- _workspace/raw/src_042.json 4.9 KB
- _workspace/raw/src_045.json 1.5 KB
- _workspace/raw/src_047.json 51 KB
- _workspace/raw/src_049.json 8.2 KB
- _workspace/raw/src_050.json 50 KB
- _workspace/raw/src_051.json 8.9 KB
- _workspace/raw/src_052.json 50 KB
- _workspace/raw/src_055.json 5.6 KB
- _workspace/raw/src_057.json 6.9 KB
- _workspace/raw/src_059.json 7.0 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.
- 11d ago First seen · 69 lines · 126 tokens per session scan A 92099fa3e5c0
aristotle is a skill published in the GitHub repository K-Dense-AI/mimeographs (122 stars, last pushed 22d ago), licensed MIT. It adds 126 tokens to every session and 1,275 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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