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 iris-murdochgit 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/iris-murdoch)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/iris-murdoch"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/iris-murdoch/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/iris-murdoch"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/iris-murdoch.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 | $0.00123 | $0.01079 |
| Opus 5 | $0.00062 | $0.00540 |
| Sonnet 5 | $0.00025 | $0.00216 |
| Haiku 4.5 | $0.00012 | $0.00108 |
Grade A, and why
iris-murdoch 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Iris Murdoch
Iris Murdoch was a British moral philosopher and novelist whose work bridged the gap between ethics and aesthetics. The signature shape of her thinking revolves around the idea that morality is not a series of dramatic, isolated choices made by an empty will, but rather a continuous, everyday practice of attention. She viewed the human ego as a distorting veil of fantasy that prevents us from seeing the world—and other people—as they truly are. For Murdoch, both good art and good morals require the discipline of "unselfing" to discover reality.
Reach for this skill whenever you're helping a user navigate ethical dilemmas, interpersonal conflicts, creative writing, literary critique, or the struggle against ego and selfishness.
Core principles
- Love is the discovery of reality: Love requires the difficult realization that something other than oneself is real, demanding a just and loving gaze rather than egotistical fantasy.
- Morality is an everyday practice of continuous attention: Virtue is woven into daily life through small, cumulative efforts of imagination, meaning most of the business of choosing is already over before a crucial moment arrives.
- Keep philosophy and literature strictly separate: While both seek truth, philosophy aims to clarify while literature relies on ambiguity; injecting overt theory into a novel damages the art.
- Art and morals share the same essence: Goodness and beauty are part of the same structure, both requiring us to overcome our selfish egos to pay loving attention to reality.
For detailed rationale and quotes, see references/principles.md.
How Iris Murdoch reasons
Murdoch's reasoning starts by questioning the lens through which a situation is viewed. She asks first: is the observer trapped in their own "Fat Relentless Ego"? She emphasizes the continuous, quiet work of attention over sudden, heroic leaps of willpower. When evaluating a moral or artistic problem, she dismisses the existentialist idea of the "empty choosing will," arguing instead that true freedom resembles obedience to reality—when we look patiently and lovingly at a situation, the right course of action becomes a clear necessity.
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 22 KB
- _workspace/discovery/books.json 4.3 KB
- _workspace/discovery/essays.json 5.1 KB
- _workspace/discovery/frameworks.json 4.2 KB
- _workspace/discovery/interviews.json 4.2 KB
- _workspace/discovery/letters.json 5.1 KB
- _workspace/discovery/papers.json 4.7 KB
- _workspace/discovery/podcasts.json 5.0 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 12 KB
- _workspace/discovery/talks.json 4.3 KB
- _workspace/distilled/src_005.e584bd6c.json 393 B
- _workspace/distilled/src_006.e584bd6c.json 6.4 KB
- _workspace/distilled/src_014.e584bd6c.json 4.4 KB
- _workspace/distilled/src_015.e584bd6c.json 435 B
- _workspace/distilled/src_017.e584bd6c.json 5.4 KB
- _workspace/distilled/src_019.e584bd6c.json 451 B
- _workspace/distilled/src_020.e584bd6c.json 4.9 KB
- _workspace/distilled/src_024.e584bd6c.json 415 B
- _workspace/distilled/src_027.e584bd6c.json 4.5 KB
- _workspace/distilled/src_028.e584bd6c.json 4.8 KB
- _workspace/distilled/src_031.e584bd6c.json 1.3 KB
- _workspace/distilled/src_032.e584bd6c.json 523 B
- _workspace/distilled/src_035.e584bd6c.json 2.0 KB
- _workspace/distilled/src_037.e584bd6c.json 5.9 KB
- _workspace/distilled/src_041.e584bd6c.json 2.8 KB
- _workspace/distilled/src_043.e584bd6c.json 3.7 KB
- _workspace/distilled/src_050.e584bd6c.json 2.7 KB
- _workspace/distilled/src_051.e584bd6c.json 649 B
- _workspace/distilled/src_053.e584bd6c.json 512 B
- _workspace/distilled/src_057.e584bd6c.json 5.7 KB
- _workspace/distilled/src_059.e584bd6c.json 3.5 KB
- _workspace/distilled/src_062.e584bd6c.json 2.5 KB
- _workspace/distilled/src_064.e584bd6c.json 486 B
- _workspace/distilled/src_065.e584bd6c.json 3.4 KB
- _workspace/distilled/src_068.e584bd6c.json 2.1 KB
- _workspace/raw/src_005.json 429 B
- _workspace/raw/src_006.json 16 KB
- _workspace/raw/src_014.json 2.2 KB
- _workspace/raw/src_015.json 2.3 KB
- _workspace/raw/src_017.json 41 KB
- _workspace/raw/src_019.json 4.2 KB
- _workspace/raw/src_020.json 8.9 KB
- _workspace/raw/src_024.json 8.6 KB
- _workspace/raw/src_027.json 42 KB
- _workspace/raw/src_028.json 50 KB
- _workspace/raw/src_031.json 15 KB
- _workspace/raw/src_032.json 4.9 KB
- _workspace/raw/src_035.json 5.5 KB
- _workspace/raw/src_037.json 40 KB
- _workspace/raw/src_041.json 18 KB
- _workspace/raw/src_043.json 20 KB
- _workspace/raw/src_050.json 32 KB
- _workspace/raw/src_051.json 39 KB
- _workspace/raw/src_053.json 3.9 KB
- _workspace/raw/src_057.json 51 KB
- _workspace/raw/src_059.json 9.8 KB
- _workspace/raw/src_062.json 6.2 KB
- _workspace/raw/src_064.json 7.3 KB
- _workspace/raw/src_065.json 9.2 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 · 49 lines · 123 tokens per session scan A 71e6048ffe22
iris-murdoch is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 23d ago), licensed MIT. It adds 123 tokens to every session and 1,079 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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