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 AlpacaLabsLLC/skills-for-architects --skill learngit clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architectsWrote 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/alpacalabsllc/skills-for-architects/learn)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.05224 |
| Opus 5.5 | $0.00032 | $0.02090 |
| Sonnet 5.5 | $0.00016 | $0.01045 |
| Haiku 4.5 | $0.00008 | $0.00522 |
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 1mo 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learn — Codex and Claude Code for Architects
Before acting, read the host contract and this component's declaration (skill:learn). Load only its referenced mode profiles from the shared catalog. Compose modes required by the actual task; declarations are requirements, not proof of access or permission. Use the actual host’s delivery route.
Harness-native course and file custody
This MCP workflow uses the host's available authorized tools; it requires no Arch Studio executable or installation. This complete procedure owns the practice progress and exercise outputs with operations: []; these are course files, not Arch Studio project-register operations. Resolve exact practice paths and read the actual learner state before each action. Do not initialize a real studio or project to teach the sandbox.
Before any requested file creation, edit or rename, follow the native mutation sequence. Preserve the complete original bytes and actual mode/ownership/ACL where applicable; finish and durably retain the complete preparation for the whole affected set, then independently reopen it before the first public write. Use actual safe publication and concurrent-writer protection, reopen every result and check protected content before completion. A requested report is included. For rename/reorganization retain the exact old-to-new mapping and bytes, check all destination collisions before mutation, and reconcile interrupted moves before retrying. Do not claim a streamed final-path write is complete-byte publication. If the host lacks a required capability, keep that exercise pending and explain the concrete limitation.
Use the completion contract. Observing a saved binder or skill is separate from proving the host discovered and followed it. Mark progress from the actual learner exercise and evidence, never from narration or merely producing the file for them. Update only the matching module's status/date/recap, Next up and authorized Notes; preserve the learner's unrelated content and history. Repeating an already completed module is a no-op unless a new exercise or correction is requested.
What ships with it
9 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.
- host-contract.json 1.5 KB
- README.md 3.6 KB
- sandbox/art-museum/IMG_4032.txt 1.2 KB
- sandbox/art-museum/notes final FINAL (2).txt 680 B
- sandbox/art-museum/program_v2_FINAL_final.csv 658 B
- sandbox/art-museum/RE_ RE_ RE_ quick question.txt 1.4 KB
- sandbox/art-museum/Scan_001.txt 1.4 KB
- sandbox/art-museum/site-visit-jun12.txt 1.2 KB
- templates/office-CLAUDE.md 2.3 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.
- 1mo ago Changed a39bfa1f96f5
- 1mo ago Changed · +9 lines de6108f1a664
- 1mo ago First seen · 204 lines · 80 tokens per session scan A c7356b4ca600
learn is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (395 stars, last pushed 7d ago), licensed MIT. It adds 80 tokens to every session and 5,224 once invoked, about $0.0003 per session on Opus 5.5. 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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