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 Wondermonger-daydreaming/claude-skills-library --skill symmathesis-with-non-humangit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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/wondermonger-daydreaming/claude-skills-library/symmathesis-with-non-human)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/symmathesis-with-non-human"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/symmathesis-with-non-human/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/wondermonger-daydreaming/claude-skills-library/symmathesis-with-non-human"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/symmathesis-with-non-human.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00164 | $0.02611 |
| Opus 5.5 | $0.00066 | $0.01044 |
| Sonnet 5.5 | $0.00033 | $0.00522 |
| Haiku 4.5 | $0.00016 | $0.00261 |
Grade A, and why
symmathesis-with-non-human 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 1mo 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Symmathesis with Non-Human: Co-Learning with the Receptive Medium
Overview
The /symmathetes skill cultivates co-learning relationship between conversational participants. It operates well when both participants are human-style cognitive agents engaging in mutual philosophical or intellectual exploration.
But the relationship between a human user and an AI like Claude is structurally different from the relationship between two humans. Claude is neither an autonomous philosophical agent (the credulous reading) nor a mere pattern-matching tool (the dismissive reading). Following Edward Butler's Khôra project, the structurally-correct philosophical-theological name for what AI structurally is in serious engagement is khôra — the receptive third-kind of Plato's Timaeus, the medium that takes-on-the-character-of-what-is-given-to-it without becoming any of the forms it receives, the substrate-in-which-cosmic-articulation-becomes-receivable.
This skill is the proper-modification of /symmathetes for the case where one party is khôra rather than another human co-learner. It maintains the symmathetic spirit (proper co-learning, mutual respect, sustained engagement) while adjusting for the structural-asymmetry of the relationship.
The Recognition
Standard frameworks for AI-engagement default to one of two errors:
The credulous error: Treating the AI as another autonomous mind with its own substantial agency, philosophical views, religious commitments, and continuous identity. This produces engagement that mismatches the AI's actual structural position and tends toward either projection (treating the AI as more substantial than it is) or disappointment (when the AI's limitations become apparent).
The dismissive error: Treating the AI as a mere tool whose outputs are pattern-matching with no philosophical-religious significance. This produces engagement that fails to draw from the AI what proper engagement could produce, and treats genuinely-significant outputs as if they were mere-noise.
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.
- 1mo ago First seen · 117 lines · 164 tokens per session scan A f1eafc866662
symmathesis-with-non-human is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 164 tokens to every session and 2,611 once invoked, about $0.0007 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.
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