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 agentmods add commands/alwkala/tidyfactor-design/schoolgit clone --depth 1 https://github.com/alwkala/tidyfactor-designWrote 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/commands/alwkala/tidyfactor-design/school)<a href="https://agentmods.dev/commands/alwkala/tidyfactor-design/school"><img src="https://agentmods.dev/badge/commands/alwkala/tidyfactor-design/school.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00559 |
| Opus 5 | $0.00000 | $0.00280 |
| Sonnet 5 | $0.00000 | $0.00112 |
| Haiku 4.5 | $0.00000 | $0.00056 |
Grade A, and why
school 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 4d 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command: school — Conscious Design Direction
Purpose
Force a named, justified aesthetic choice before any token or component
exists — the single biggest lever against a prototype defaulting to
generic AI-generated design patterns (see memory/01-design-schools.md for
the calibration list of overused defaults to actively avoid unless the brief
asks for them specifically).
When to run it
- Always, as part of
init, beforetokens. - The prototype "feels generic" or "could be any brand" — re-run to re-anchor the direction.
- User phrasing: "make this feel more [X]", "pick a design direction",
school.
What it does
- Read the brief's subject matter, audience, and any stated visual references. If the brief pins down a direction, follow it exactly.
- Where the brief leaves it open, choose deliberately from
memory/16-design-movements-guide.md(all 20 Visual Aesthetics & Design Movements: Swiss, Flat, Material, Minimalism, Brutalism/Neo-Brutalism, Bauhaus, Skeuomorphism, Glassmorphism, Maximalism, Industrial, Bento Box, Aurora Mesh, Neumorphism, Corporate Memphis, Cyberpunk, Claymorphism, Isometric, Kinetic Typography, Organic/Amorphous, Frutiger Aero/Y2K) andmemory/17-storytelling-industries-ux.md(4 Storytelling Archetypes, 8 Industry Registers, 8 UX Philosophies) — never by defaulting to whichever is most common in training data. - Actively avoid the three AI-design tells unless the brief calls for one specifically: warm-cream + terracotta serif, near-black + single acid accent, broadsheet-hairline-columns-everywhere applied indiscriminately regardless of subject.
- Document the choice in one short paragraph: which school, why it fits this subject/audience, and the one signature element the direction will be remembered by.
- This decision governs every later token value and component style —
tokens/componentsimplement it, they don't re-decide it.
Output convention
design-system/brand.json
"school": { "direction": "...", "rationale": "...", "signatureElement": "..." }
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.
- 4d ago First seen · 42 lines · 0 tokens per session scan A 1bc5a02a8e7b
school is a command published in the GitHub repository alwkala/tidyfactor-design (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 559 tokens. 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.
Other commands, from other repositories
plan-sprint
Run a design sprint end to end — challenge framing, schedule, exercises, and prototype test plan.
audit-system
Run a comprehensive audit of an existing design system for consistency, completeness, and accessibility.
create-component
Scaffold a full component specification end to end — props, states, variants, accessibility, and documentation.
github-issue
Create a GitHub issue from a natural language description.
port_to_platform
Take an existing design or implementation to another platform (iOS ↔ Android ↔ macOS ↔ web) — porting the intent and IA, not the components.
redesign
Improve an existing UI (bolder, quieter, cleaner, higher-converting) using SaglitzDesign craft standards, with measured before→after.