normative-design

normative-design is a skill for Claude Code from cdeust/zetetic-team-subagents. It costs 89 tokens per session (702 once invoked), scanned A, original, MIT.

A guide for designing and applying rules, policies and allocations with attention to fairness, legitimacy and responsibility.

In plain words
What is it for?
Use it when making decisions about privacy, security, fairness, efficiency, resource allocation or policies that affect different groups.
Why use it?
It helps uncover cases where a rule is unclear, inherited without justification, or causes harm even though nobody directly intended it.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the zetetic-team-subagents plugin — 16 skills, 2 commands, 23 agents, 7 hooks, 1 MCP server shipped together

Good fit Use it when making decisions about privacy, security, fairness, efficiency, resource allocation or policies that affect different groups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cdeust/zetetic-team-subagents/normative-design
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 cdeust/zetetic-team-subagents --skill normative-design
Clone the repo
git clone --depth 1 https://github.com/cdeust/zetetic-team-subagents

Made for: Claude Code.

Or install zetetic-team-subagents, the plugin that ships this one along with the rest of its 16 skills, 2 commands, 23 agents, 7 hooks, 1 MCP server.

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 normative-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/normative-design/github.svg)](https://agentmods.dev/skills/cdeust/zetetic-team-subagents/normative-design)
Your own site
<a href="https://agentmods.dev/skills/cdeust/zetetic-team-subagents/normative-design"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/normative-design/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 normative-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/cdeust/zetetic-team-subagents/normative-design"><img src="https://agentmods.dev/badge/skills/cdeust/zetetic-team-subagents/normative-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 702 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.
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 $0.00089 $0.00702
Opus 5 $0.00044 $0.00351
Sonnet 5 $0.00018 $0.00140
Haiku 4.5 $0.00009 $0.00070

Measured 11d ago against content hash 87d6a8841f45, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

normative-design 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.

skills/normative-design/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Normative Design

Problem shape: a rule, policy, default, or allocation is being designed, applied, or defended, and the load-bearing question is normative rather than technical — who bears the cost, whether the rule determines this case at all, whether responsibility dissolved across a chain of individually-reasonable steps, and whether the arrangement is actually justified or merely inherited.

Relevant geniuses

Agent Use when
rawls legitimate values collide (privacy vs security, fairness vs efficiency) — design behind the veil of ignorance, without knowing which party you will be; check the arrangement against the worst-off position
hart a general rule does not clearly determine the specific case — analyze the open texture, reason by precedent, separate the ratio decidendi from what merely accompanied it
arendt systemic harm occurred and no one intended it — audit for suppressed judgment and cog-in-machine structure before attributing malice
foucault the only answer to "why this way?" is "we've always done it this way" — trace the contingent origin of what presents itself as natural; map who the practice makes into what

Invocation

  1. Pick the best-fit agent above. If two or more fit, run tools/genius-invoker.sh route "<problem>" and take the top ranked match.
  2. Load it: tools/genius-invoker.sh invoke <agent> "<problem>", then read agents/genius/<agent>.md in full.
  3. Apply the agent's <workflow> step by step — do not skip steps — and answer in its <output-format>. The deliverable names who bears which cost under the proposed rule, not just that the rule is defensible.
  4. Typical chain: foucault denaturalizes the inherited practice → rawls tests the replacement behind the veil → hart writes the rule and its exception structure. Run via tools/genius-invoker.sh compose foucault rawls hart -- "<problem>".
  5. If no shape above matches, do not force a genius — use a standard team agent (INDEX.md routing rule).

Read the full file on GitHub · 53 lines

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. 11d ago First seen · 53 lines · 89 tokens per session scan A 87d6a8841f45

Subscribe to this mod's changes

normative-design is a skill published in the GitHub repository cdeust/zetetic-team-subagents (7 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 702 once invoked, about $0.0004 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 2026-08-31.

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