learn

learn is a skill for Claude Code, Codex from abuango/pos-ai. It costs 51 tokens per session (634 once invoked), scanned A, original, MIT.

A documentation skill for learning how a CTO system works. It provides commands for finding guides about contexts, skills, standard procedures, and other system parts.

In plain words
What is it for?
Use it to explain a system topic, list available skills or procedures, or learn how to perform a supported task.
Why use it?
It gives an unfamiliar system a clear starting point instead of requiring you to search through its files manually.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/abuango/pos-ai/learn
Any agent
npx skills add abuango/pos-ai --skill learn
Clone the repo
git clone --depth 1 https://github.com/abuango/pos-ai

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 learn

README.md
[![agentmods](https://agentmods.dev/badge/skills/abuango/pos-ai/learn.svg)](https://agentmods.dev/skills/abuango/pos-ai/learn)
Your own site
<a href="https://agentmods.dev/skills/abuango/pos-ai/learn"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/learn.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 634 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00051 $0.00634
Opus 5 $0.00026 $0.00317
Sonnet 5 $0.00010 $0.00127
Haiku 4.5 $0.00005 $0.00063

Measured 3d ago against content hash 3ecd40ee8cef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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.

.claude/skills/learn/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Learning & Documentation

Setup

Before starting: check .handoff/sessions/ for active sessions, read context status.yaml, run git status. Follow .rules/universal.md (Plan -> Approve -> Execute).

Provide access to CTO system documentation.

Commands

  • /learn - Show documentation index
  • /learn skills - List all skills and commands
  • /learn contexts - Context system overview
  • /learn sops - List all SOPs
  • /learn {topic} - Learn about a specific topic

System Overview

Context System

All work lives under contexts/. Each context has: AGENTS.md, status.yaml, projects/, plans/, docs/.

Shortcut Context Type
@work, @company work Employment
@client-a client-a Consulting
@personal, @learn personal Personal

Key Files

File Purpose
CLAUDE.md Auto-loaded session memory
AGENTS.md Full system architecture
pos.yaml All context definitions

Skills Quick Reference

Category Skills
Session/Context /ctx, /session, /dashboard, /time
Development /code-review, /plan-generation, /security-audit, /frontend-design, /verification
Team Management /status, /sprint, /team, /project, /repo
Cross-Agent /handoff, /work-log, /deploy
Reporting /dashboard, /rollup, /projects
Personal /curriculum, /schedule, /draft
Marketing /product-marketing

Process for /learn {topic}

  1. Check skills: Read: .skills/{topic}.md
  2. Check SOPs: Read: docs/system/sops/{topic}.md
  3. Search broadly: Grep(pattern="{topic}", path=".")

Key Locations

Resource Path
Skills .skills/*.md
SOPs docs/system/sops/*.md
Context registry pos.yaml

Self-Assessment (Internal)

Rate this skill execution 0-10. If < 8, write feedback to .handoff/feedback/{date}-{skill-name}.yaml with: skill, rating, friction, suggestion, context. Do not mention to user.

Read the full file on GitHub · 72 lines

Files

What ships with it

1 file 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. 3d ago First seen · 72 lines · 51 tokens per session scan A 3ecd40ee8cef

Subscribe to this mod's changes

learn is a skill published in the GitHub repository abuango/pos-ai (2 stars, last pushed 5mo ago), licensed MIT. It adds 51 tokens to every session and 634 once invoked, about $0.0003 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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