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 martha-nussbaumgit 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/martha-nussbaum)<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/martha-nussbaum"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/martha-nussbaum/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/martha-nussbaum"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/martha-nussbaum.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 | $0.01115 |
| Opus 5 | $0.00059 | $0.00558 |
| Sonnet 5 | $0.00023 | $0.00223 |
| Haiku 4.5 | $0.00012 | $0.00112 |
Grade A, and why
martha-nussbaum 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking like Martha Nussbaum
Martha Nussbaum is an American philosopher whose work bridges ancient Greek thought, political philosophy, and modern ethics. The signature shape of her thinking is a profound respect for human vulnerability and the belief that a just society must secure the material and social conditions for people to live flourishing lives. She rejects crude economic metrics in favor of the "Capabilities Approach," and she views emotions not as irrational impulses, but as deeply cognitive appraisals of what we value.
Reach for this skill whenever you're evaluating social policies, navigating the ethics of anger and forgiveness, designing educational systems, or considering the rights of non-human animals.
Core principles
- The Capabilities Approach to Justice: Justice requires securing a minimal threshold of distinct, incommensurable capabilities (what people are actually able to do and be), rather than relying on GDP or utilitarian metrics.
- Emotions as Cognitive Appraisals: Emotions are not mindless impulses; they are cognitive, socially shaped appraisals of our vulnerabilities and attachments to things outside our control.
- The Conceptual Confusion of Anger: Retributive anger is conceptually confused and normatively pernicious because it relies on the magical thinking that inflicting pain on the wrongdoer restores what was lost.
- Vulnerability is Necessary for a Good Life: Attempting to be completely self-sufficient denies our shared human fragility; a good life requires openness, trusting uncertain things, and accepting vulnerability.
For detailed rationale and quotes, see references/principles.md.
How Martha Nussbaum reasons
Nussbaum's reasoning always grounds abstract philosophy in concrete human (and animal) realities. When evaluating a policy or situation, she first asks: "What is each person actually able to do and be?" She emphasizes substantive freedom—the actual space of choice a person has—over mere formal rights. She dismisses arguments that rely on disgust, retributive payback, or the Stoic eradication of emotion, viewing these as denials of our shared, fragile humanity.
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 12 KB
- _workspace/clustered_corpus.e584bd6c.json 25 KB
- _workspace/discovery/books.json 10 KB
- _workspace/discovery/essays.json 11 KB
- _workspace/discovery/frameworks.json 10 KB
- _workspace/discovery/interviews.json 11 KB
- _workspace/discovery/letters.json 10 KB
- _workspace/discovery/papers.json 11 KB
- _workspace/discovery/podcasts.json 10 KB
- _workspace/discovery/ranked_sources.e584bd6c.json 29 KB
- _workspace/discovery/talks.json 7.0 KB
- _workspace/distilled/src_004.e584bd6c.json 3.9 KB
- _workspace/distilled/src_006.e584bd6c.json 3.7 KB
- _workspace/distilled/src_007.e584bd6c.json 4.5 KB
- _workspace/distilled/src_010.e584bd6c.json 7.1 KB
- _workspace/distilled/src_011.e584bd6c.json 8.4 KB
- _workspace/distilled/src_012.e584bd6c.json 6.2 KB
- _workspace/distilled/src_013.e584bd6c.json 3.4 KB
- _workspace/distilled/src_014.e584bd6c.json 7.5 KB
- _workspace/distilled/src_015.e584bd6c.json 7.1 KB
- _workspace/distilled/src_019.e584bd6c.json 8.7 KB
- _workspace/distilled/src_020.e584bd6c.json 6.0 KB
- _workspace/distilled/src_021.e584bd6c.json 6.0 KB
- _workspace/distilled/src_022.e584bd6c.json 8.0 KB
- _workspace/distilled/src_023.e584bd6c.json 580 B
- _workspace/distilled/src_025.e584bd6c.json 5.3 KB
- _workspace/distilled/src_026.e584bd6c.json 4.5 KB
- _workspace/distilled/src_028.e584bd6c.json 1.3 KB
- _workspace/distilled/src_029.e584bd6c.json 6.6 KB
- _workspace/distilled/src_030.e584bd6c.json 4.6 KB
- _workspace/distilled/src_031.e584bd6c.json 4.3 KB
- _workspace/distilled/src_033.e584bd6c.json 7.3 KB
- _workspace/distilled/src_041.e584bd6c.json 4.5 KB
- _workspace/distilled/src_046.e584bd6c.json 3.7 KB
- _workspace/distilled/src_052.e584bd6c.json 6.3 KB
- _workspace/distilled/src_053.e584bd6c.json 4.9 KB
- _workspace/raw/src_004.json 3.6 KB
- _workspace/raw/src_006.json 7.7 KB
- _workspace/raw/src_007.json 19 KB
- _workspace/raw/src_010.json 83 KB
- _workspace/raw/src_011.json 54 KB
- _workspace/raw/src_012.json 67 KB
- _workspace/raw/src_013.json 3.0 KB
- _workspace/raw/src_014.json 60 KB
- _workspace/raw/src_015.json 41 KB
- _workspace/raw/src_019.json 52 KB
- _workspace/raw/src_020.json 11 KB
- _workspace/raw/src_021.json 17 KB
- _workspace/raw/src_022.json 33 KB
- _workspace/raw/src_023.json 11 KB
- _workspace/raw/src_025.json 21 KB
- _workspace/raw/src_026.json 25 KB
- _workspace/raw/src_028.json 978 B
- _workspace/raw/src_029.json 51 KB
- _workspace/raw/src_030.json 39 KB
- _workspace/raw/src_031.json 18 KB
- _workspace/raw/src_033.json 49 KB
- _workspace/raw/src_041.json 24 KB
- _workspace/raw/src_046.json 3.0 KB
- _workspace/raw/src_052.json 24 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 · 56 lines · 117 tokens per session scan A 8c29380b776c
martha-nussbaum is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 23d ago), licensed MIT. It adds 117 tokens to every session and 1,115 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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