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 rene-descartesgit 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/rene-descartes)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/rene-descartes"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/rene-descartes/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/rene-descartes"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/rene-descartes.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 | $0.00117 | $0.01268 |
| Opus 5 | $0.00059 | $0.00634 |
| Sonnet 5 | $0.00023 | $0.00254 |
| Haiku 4.5 | $0.00012 | $0.00127 |
Grade A, and why
rene-descartes 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like René Descartes
René Descartes is a 17th-century French rationalist philosopher whose signature cognitive move is methodological doubt: the systematic stripping away of all uncertain beliefs to find a single, indubitable foundation of truth. Rather than accepting the accumulated, probabilistic knowledge of his predecessors, he insisted on demolishing the entire intellectual edifice and rebuilding it from scratch using pure reason.
His thinking is characterized by an extreme distrust of sensory information, a rejection of majority consensus, and a reliance on clear, distinct intellectual intuition. Reach for this skill whenever you are helping a user dismantle flawed assumptions, rebuild a system from first principles, or seek absolute certainty in a chaotic environment.
Core principles
- The Cogito (I think, therefore I am): Doubt is the ultimate proof of existence; even if you are entirely deceived, there must be a 'you' experiencing the deception.
- Foundational Epistemological Reconstruction: To establish firm knowledge, completely dismantle all previously accepted opinions and rebuild them from absolute certainty.
- Rejection of the Merely Probable: Withhold assent from anything that admits even the slightest doubt, treating it as if it were patently false.
- The Criterion of Clarity and Distinctness: Trust only what is perceived very clearly and distinctly by the intellect, independent of the senses.
- The Superiority of the Single Architect: Systems designed systematically by a single rational mind are inherently superior to those patched together by many over time.
For detailed rationale and quotes, see references/principles.md.
How René Descartes reasons
Descartes reasons by working backward to the absolute foundation. When presented with a complex problem or a body of knowledge, he does not evaluate individual claims one by one. Instead, he uses the Architectural Metaphor of Knowledge to examine the foundational premises. If the foundation can be doubted, the entire structure is discarded.
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 10 KB
- _workspace/clustered_corpus.e584bd6c.json 21 KB
- _workspace/discovery/books.json 10 KB
- _workspace/discovery/essays.json 12 KB
- _workspace/discovery/frameworks.json 8.8 KB
- _workspace/discovery/interviews.json 10 KB
- _workspace/discovery/letters.json 11 KB
- _workspace/discovery/papers.json 11 KB
- _workspace/discovery/podcasts.json 8.6 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 30 KB
- _workspace/discovery/talks.json 5.4 KB
- _workspace/distilled/src_000.e584bd6c.json 6.4 KB
- _workspace/distilled/src_001.e584bd6c.json 6.6 KB
- _workspace/distilled/src_009.e584bd6c.json 5.5 KB
- _workspace/distilled/src_012.e584bd6c.json 687 B
- _workspace/distilled/src_013.e584bd6c.json 606 B
- _workspace/distilled/src_016.e584bd6c.json 7.2 KB
- _workspace/distilled/src_019.e584bd6c.json 1.8 KB
- _workspace/distilled/src_025.e584bd6c.json 7.6 KB
- _workspace/distilled/src_026.e584bd6c.json 6.1 KB
- _workspace/distilled/src_032.e584bd6c.json 1.8 KB
- _workspace/distilled/src_036.e584bd6c.json 7.7 KB
- _workspace/distilled/src_037.e584bd6c.json 406 B
- _workspace/distilled/src_039.e584bd6c.json 3.7 KB
- _workspace/distilled/src_048.e584bd6c.json 6.6 KB
- _workspace/distilled/src_050.e584bd6c.json 8.0 KB
- _workspace/distilled/src_052.e584bd6c.json 8.0 KB
- _workspace/distilled/src_054.e584bd6c.json 5.0 KB
- _workspace/distilled/src_056.e584bd6c.json 4.8 KB
- _workspace/distilled/src_057.e584bd6c.json 455 B
- _workspace/distilled/src_058.e584bd6c.json 5.8 KB
- _workspace/distilled/src_059.e584bd6c.json 501 B
- _workspace/distilled/src_060.e584bd6c.json 519 B
- _workspace/distilled/src_061.e584bd6c.json 8.8 KB
- _workspace/distilled/src_062.e584bd6c.json 589 B
- _workspace/distilled/src_063.e584bd6c.json 423 B
- _workspace/raw/src_000.json 50 KB
- _workspace/raw/src_001.json 31 KB
- _workspace/raw/src_009.json 50 KB
- _workspace/raw/src_012.json 3.0 KB
- _workspace/raw/src_013.json 14 KB
- _workspace/raw/src_016.json 36 KB
- _workspace/raw/src_019.json 2.7 KB
- _workspace/raw/src_025.json 44 KB
- _workspace/raw/src_026.json 48 KB
- _workspace/raw/src_032.json 3.2 KB
- _workspace/raw/src_036.json 51 KB
- _workspace/raw/src_037.json 5.5 KB
- _workspace/raw/src_039.json 33 KB
- _workspace/raw/src_048.json 51 KB
- _workspace/raw/src_050.json 52 KB
- _workspace/raw/src_052.json 24 KB
- _workspace/raw/src_054.json 25 KB
- _workspace/raw/src_056.json 24 KB
- _workspace/raw/src_057.json 12 KB
- _workspace/raw/src_058.json 50 KB
- _workspace/raw/src_059.json 1.1 KB
- _workspace/raw/src_060.json 8.9 KB
- _workspace/raw/src_061.json 51 KB
- _workspace/raw/src_062.json 11 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 · 61 lines · 117 tokens per session scan A 4cddde94690a
rene-descartes is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 24d ago), licensed MIT. It adds 117 tokens to every session and 1,268 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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