learn

learn is a skill for Claude Code, Codex from tw93/Waza. It costs 68 tokens per session (1,876 once invoked), scanned A, original, MIT.

A six-phase research workflow that turns unfamiliar subjects, source bundles, or collected material into useful notes, references, articles, or other publish-ready writing. It is intended for research that combines multiple sources.

In plain words
What is it for?
It helps research unfamiliar topics, study supplied materials, combine sources, and produce organised written output.
Why use it?
It gives structure to learning a new domain and requires sources, contradictions, and uncertainty to be handled explicitly.

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/tw93/waza/learn
Any agent
npx skills add tw93/Waza --skill learn
Clone the repo
git clone --depth 1 https://github.com/tw93/Waza

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/tw93/waza/learn.svg)](https://agentmods.dev/skills/tw93/waza/learn)
Your own site
<a href="https://agentmods.dev/skills/tw93/waza/learn"><img src="https://agentmods.dev/badge/skills/tw93/waza/learn.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,876 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00068 $0.01876
Opus 5 $0.00034 $0.00938
Sonnet 5 $0.00014 $0.00375
Haiku 4.5 $0.00007 $0.00188

Measured today against content hash 4fba2661714c, 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 1 finding 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 today.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `/read` missing -- Phase 1 fetch falls back to native `WebFetch` / `curl`; coverage on paywalled, JS-heavy, and Chinese-platform pages degrades.
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • learn — 100% identical, 0 lines differ
plugins/waza/skills/learn/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learn: From Raw Materials to Published Output

Prefix your first line with 🥷 inline, not as its own paragraph.

Support the user's thinking; do not replace it.

Outcome Contract

  • Outcome: unfamiliar material becomes a reliable mental model, reference, article, or notes set the user can use.
  • Done when: primary sources are collected or supplied, contradictions are handled explicitly, and the final structure teaches the topic without hiding uncertainty.
  • Evidence: source URLs or files, fetched content, notes from digestion, outline decisions, and self-review against the requested output.
  • Output: research notes, outline, publish-ready draft, or canonical reference, matching the chosen mode.

Boundary: single URL that only needs fetching belongs in /read. A single URL that needs summary or analysis can use /read as the fetch step, but the final answer should satisfy the user's requested summary or analysis. /learn is for multi-source research that produces a new structured output.

Pre-check

Check whether /read and /write skills are installed (look for their SKILL.md in the skills directories). Warn if missing, do not block:

  • /read missing -- Phase 1 fetch falls back to native WebFetch / curl; coverage on paywalled, JS-heavy, and Chinese-platform pages degrades.
  • /write missing -- Phase 5 AI-pattern stripping falls back to manual scan. Phases 1-4 are unaffected.

Choose Mode

Ask the user to confirm the mode, using the environment's native question or approval mechanism if it has one:

Mode Goal Entry Exit
Deep Research Understand a domain well enough to write about it Phase 1 Phase 6: publish-ready draft
Quick Reference Build a working mental model fast, no article planned Phase 2 Phase 2: notes only
Write to Learn Already have materials, force understanding through writing Phase 3 Phase 6: publish-ready draft
Canonical Article One article that covers a topic so thoroughly readers need nothing else Phase 1 Phase 6: single authoritative reference

Read the full file on GitHub · 123 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. today Changed · -1 lines 4fba2661714c
  2. 4d ago First seen · 124 lines · 68 tokens per session scan A 21af36f6f507

Subscribe to this mod's changes

learn is a skill published in the GitHub repository tw93/Waza (6,947 stars, last pushed today), licensed MIT. It adds 68 tokens to every session and 1,876 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.