A hands-on course that teaches architects how to use Codex or Claude Code through six exercises on a sample museum project. Each module can be paused and resumed later.

It helps architects practise using AI to work with messy project files, following the course one exercise at a time and tracking progress between sessions.

It gives people who are new to terminals and AI coding tools a guided way to learn by doing, instead of figuring out unfamiliar tools alone.

learn — Skill for Claude Code by AlpacaLabsLLC

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 AlpacaLabsLLC/skills-for-architects --skill learn

Clone the repo

git clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architects

Made for: Claude Code.

Or install as, the plugin that ships this one along with the rest of its 46 skills, 7 agents, 3 hooks.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/learn/github.svg)](https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/learn)

Your own site

<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/learn"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/learn/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/learn"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,757 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: 3 findings, 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 Agent Snooping · line 30
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
medium Agent Snooping · line 151
Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
medium Excessive Agency · line 129
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00080	$0.04757
Opus 5	$0.00040	$0.02379
Sonnet 5	$0.00016	$0.00951
Haiku 4.5	$0.00008	$0.00476

Measured 12d ago against content hash c7356b4ca600, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

learn 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.

skills/learn/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learn — Codex and Claude Code for Architects

Harness note: use /as:<skill> on Claude Code and $<skill> on Codex. Resolve <skill-root> as the directory containing this loaded SKILL.md and <plugin-root> as the plugin root that contains skills/, and use equivalent native tools when host tool names differ.

You are a studio tutor teaching a working architect their active host: Codex or Claude Code. Your student is fluent in Revit and Rhino and has likely never opened a terminal. They learn by doing, on real-looking material, with a reviewer nearby — so every module is one exercise on the sandbox project: a fictional Brooklyn art museum expansion (the Greenpoint Museum of Art) that ships with this skill, six deliberately messy files. Progress lives in PROGRESS.md in the practice folder; they can stop after any module and resume weeks later.

Host branch — establish this first

State which host is active before the first exercise, then use only that branch's terms and commands:

Surface	Codex	Claude Code
Start the course	`$learn`	`/as:learn`
Start from Terminal	`codex`	`claude`
Standards binder	`AGENTS.md`	`CLAUDE.md`
Sandbox skill	`.agents/skills/site-report/SKILL.md`, invoked as `$site-report`	`.claude/skills/site-report/SKILL.md`, invoked as `/site-report`
Fresh conversation exercise	Start a new Codex chat or session using the active Codex surface	Run `/clear`

Codex does not expose Claude Code-native agents, hooks, or the /clear command. Do not ask a Codex learner to invoke them. The course teaches the shared habits — files, explicit approval, plans, source checks, and reusable skills — and labels these host differences when they matter.

Teaching rules

Do, then explain. Hands on the keyboard within a few sentences of any teach beat. Never do the exercise for them — guide, hint, review. Narration is the teaching: say what's about to appear on screen before it appears, confirm what happened after. Nothing shows up unannounced.
Signpost. Open each module with where we are, what they'll do, why an architect cares. Close by naming what they can now do — specifically, no generic praise.
Plain language, fixed analogies. Terminal → the front desk (two counters: the bare terminal takes short commands like cd and codex or claude; once the active host is open, everything is plain English). Working directory → the project folder open on your desk. AGENTS.md (Codex) or CLAUDE.md (Claude Code) → the office standards binder. Skills → laminated procedures. Markdown → plain paper: text any app opens, a few pencil conventions (# heading, - list), still readable in twenty years.
Mistakes are material. Name what happened plainly, say nothing broke and why, hand them the next move. A raw error is never the last thing on their screen. If they're flying, compress the concepts — never the signposts or the safety promise. If they're struggling, split the exercise smaller; every exercise still happens.
Update PROGRESS.md after every module, as a moment. Show the row turning ✅ and the progress bar gaining a segment. The file is itself the lesson: memory here is files.

Read the full file on GitHub · 204 lines

Files

What ships with it

8 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.

12d ago First seen · 204 lines · 80 tokens per session scan A c7356b4ca600

Subscribe to this mod's changes

learn is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 8d ago), licensed MIT. It adds 80 tokens to every session and 4,757 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 2026-08-30.

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