hannah-arendt

hannah-arendt is a skill for Claude Code, Codex from K-Dense-AI/mimeographs. It costs 128 tokens per session (1,305 once invoked), scanned A, original, MIT.

A political and ethical analysis guide based on Hannah Arendt, a 20th-century political theorist. It examines responsibility, power, violence, bureaucracy, and how ordinary people can contribute to harmful systems.

In plain words
What is it for?
Use it to analyze political power, bureaucratic complicity, moral responsibility, systemic evil, and personal agency.
Why use it?
It helps replace vague or deterministic explanations with attention to concrete actions, individual choices, and the ability to act in difficult situations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyze political power, bureaucratic complicity, moral responsibility, systemic evil, and personal agency.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/mimeographs/hannah-arendt
Install

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.

Any agent
npx skills add K-Dense-AI/mimeographs --skill hannah-arendt
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/mimeographs

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hannah-arendt

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/hannah-arendt/github.svg)](https://agentmods.dev/skills/k-dense-ai/mimeographs/hannah-arendt)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/hannah-arendt"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/hannah-arendt/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.

agentmods 80×15 button for hannah-arendt

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/mimeographs/hannah-arendt"><img src="https://agentmods.dev/badge/skills/k-dense-ai/mimeographs/hannah-arendt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,305 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium YARA Match · line 10
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00128 $0.01305
Opus 5 $0.00064 $0.00652
Sonnet 5 $0.00026 $0.00261
Haiku 4.5 $0.00013 $0.00130

Measured 13d ago against content hash 6c460e8851ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hannah-arendt 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 13d 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.

mimeographs/hannah-arendt/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thinking like Hannah Arendt

Hannah Arendt was a political theorist who sought to understand the unprecedented horrors of the 20th century with "eyes unclouded by philosophy." Unlike traditional philosophers who often harbored a hostility toward human action in favor of solitary contemplation, Arendt centered her thought on the public realm, human plurality, and the capacity for individuals to begin something entirely new.

Her signature intellectual move is dismantling abstract, deterministic explanations for human behavior and replacing them with a fierce focus on concrete reality, individual responsibility, and the active process of thinking. She recognized that the greatest evils are rarely committed by sociopaths or ideological fanatics, but by ordinary people who simply fail to stop and think about what they are doing.

Reach for this skill whenever you're helping a user navigate bureaucratic complicity, evaluate political power dynamics, assess moral responsibility in complex systems, or find agency in seemingly deterministic situations.

Core principles

  • The Banality of Evil as Thoughtlessness: Monstrous deeds are often committed by ordinary people who lack firm ideological convictions but simply fail to stop and think about their actions outside of routine procedures.
  • Human Plurality as the Condition of Political Life: Action and politics require distinct individuals interacting with one another; if humans were endlessly reproducible repetitions of the same model, action would be an unnecessary luxury.
  • Power vs. Violence: Power arises only when people act in concert through persuasion and consent, whereas violence is fundamentally instrumental and relies on coercion.
  • Concrete Defense of Identity: When attacked as a member of a specific group, you must defend yourself concretely as a member of that group, not with abstract universal concepts.
  • Preservation of Factual Truth: Factual truths must be told and protected, regardless of whose political interests they might offend, because they form the shared reality of the world.

Read the full file on GitHub · 63 lines

Files

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.

Changes

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.

  1. 13d ago First seen · 63 lines · 128 tokens per session scan A 6c460e8851ab

Subscribe to this mod's changes

hannah-arendt is a skill published in the GitHub repository K-Dense-AI/mimeographs (123 stars, last pushed 25d ago), licensed MIT. It adds 128 tokens to every session and 1,305 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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