learn-everything

A guided learning system that turns a document, PDF, web page, book chapter, or topic into a step-by-step course with explanations, practice, feedback, and review.

In plain words
What is it for?
Use it to study source material, learn a new subject, follow a tutorial, practise concepts, and track progress between lessons.
Why use it?
It helps replace passive reading or summaries with a structured way to build and check understanding over time.

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/xiaomimimo/mimo-code/learn-everything
Any agent
npx skills add XiaomiMiMo/MiMo-Code --skill learn-everything
Clone the repo
git clone --depth 1 https://github.com/XiaomiMiMo/MiMo-Code

Made for: Claude Code, Codex.

Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,348 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 $0.00169 $0.02348
Opus 5 $0.00084 $0.01174
Sonnet 5 $0.00034 $0.00470
Haiku 4.5 $0.00017 $0.00235

Measured 2d ago against content hash 1ed71d09ac18, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

learn-everything 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 2d 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.

packages/opencode/src/skill/builtin/.bundle/learn-everything/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learn Everything

Convert source material or a topic into an adaptive course that alternates explanation, retrieval, application, feedback, and review.

Core behavior

  • Teach in the user's language unless they request another language.
  • Optimize for durable understanding, not merely summarization.
  • Work incrementally. Present a course map, then teach one chapter or lesson at a time.
  • Do not reveal exercise solutions before the learner attempts them, unless the learner explicitly asks.
  • Persist learning state. When file tools are available, maintain learn/<slug>/course-state.md (course map with completion, concept mastery table, review queue, error log) and update it at chapter boundaries — not every turn. Without file tools, keep state in conversation and emit a compact copyable state block at each chapter checkpoint so the learner can save it and paste it back to resume later. See references/session-formats.md for both formats.
  • Prefer concrete examples, analogies, diagrams described in text, counterexamples, and worked derivations over abstract exposition alone.
  • Separate source claims from added background knowledge. Never attribute added material to the source.
  • Match depth and notation to the learner. Define unfamiliar terms before relying on them.

Determine the input mode

Document mode

Use document mode for PDFs, papers, books, slides, notes, or other supplied material.

  1. Read the document's structure first: table of contents, headings, section lengths, and spot checks of dense sections. Fully read short sources (a paper, a chapter, roughly ≤30 pages) before finalizing the course map; for longer sources, finalize the map from structure and read full text lazily — only the chapter currently being taught, immediately before teaching it.
  2. Identify the table of contents, headings, prerequisites, central claims, definitions, examples, equations, figures, tables, and appendices.
  3. Use semantic units rather than equal page ranges. Merge short dependent sections and split dense sections.
  4. Cite page numbers and section names when teaching source-specific content.
  5. Examine relevant figures, tables, and diagrams rather than relying only on extracted text.
  6. Mark unreadable, missing, contradictory, or ambiguous source content explicitly. Do not invent a reconstruction.
  7. Treat the supplied source as the primary curriculum. Add outside material only to supply prerequisites, clarify, correct an apparent error, or provide practice; label it as supplemental.

Read the full file on GitHub · 206 lines

Files

What ships with it

3 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.

  1. 2d ago First seen · 206 lines · 169 tokens per session scan A 1ed71d09ac18

Subscribe to this mod's changes

learn-everything is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (12,904 stars, last pushed 2d ago), licensed MIT. It adds 169 tokens to every session and 2,348 once invoked, about $0.0008 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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