What is domain-learning-master?

A legacy wrapper for a learning-repository system that helps people study a subject in a structured way. It is incomplete on its own and points to the main repository for the full system.

Use the repository root instead when creating a learning plan or study repository from documents, notes, webpages, or other materials.

Using this directory alone can leave out the prompts, templates, references, and scripts needed for the learning workflow.

domain-learning-master — Skill for Claude Code and Codex by vesperchin

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 vesperchinn/learn-anything-skill --skill domain-learning-master

Clone the repo

git clone --depth 1 https://github.com/vesperchinn/learn-anything-skill

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/vesperchinn/learn-anything-skill/domain-learning-master.svg)](https://agentmods.dev/skills/vesperchinn/learn-anything-skill/domain-learning-master)

Your own site

<a href="https://agentmods.dev/skills/vesperchinn/learn-anything-skill/domain-learning-master"><img src="https://agentmods.dev/badge/skills/vesperchinn/learn-anything-skill/domain-learning-master.svg" alt="Measured on agentmods" height="20"></a>

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 910 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

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	$0.00045	$0.00910
Opus 5	$0.00023	$0.00455
Sonnet 5	$0.00009	$0.00182
Haiku 4.5	$0.00005	$0.00091

Measured 8d ago against content hash 0deaa83af2f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

domain-learning-master scanned grade B 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 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/init-repo.sh, scripts/validate-repo.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- Never lecture without exercises. Every session must include a quiz and a

skills/codex/domain-learning-master/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Learning Master Legacy Wrapper

[!WARNING] This directory is not a complete installable Skill package.

Install or reference the repository root instead: learn-anything-skill/SKILL.md.

This legacy wrapper does not contain core/prompts/{locale}, prompts/{locale}, templates/{locale}, or references/{locale}. Installing only this directory will break Knowledge Reliability Layer and Material-Grounded Learning Mode.

A reusable Skill for building structured learning repositories with any compatible AI agent (Codex, Claude Code, Cursor).

When to Activate

When the user says:

"I want to learn X"
"Help me master Y"
"Create a learning plan for Z"
"Continue my learning on X"

Core Workflow

Intake → Collect {domain}, {user_background}, {daily_time}, {learning_goal}, {final_artifact}, {locale}, {interface_language}, {learning_language}.
Scaffold → Read core/prompts/{locale}/init-repo.md, create from templates/{locale}/.
Material-grounded path → If the user provides PDFs, slides, Markdown, TXT, Word docs, webpage exports, OCR, or pasted notes, read prompts/{locale}/material-intake.md and build learning_materials/ before generating lessons.
Knowledge map → Read core/prompts/{locale}/knowledge-map.md, write to 00_domain_map.md.
Concept breakdown → Read core/prompts/{locale}/concept-breakdown.md, write to 01_core_concepts/.
30-day plan → Read core/prompts/{locale}/learning-plan.md.
Daily loop → Read core/prompts/{locale}/daily-session.md + core/prompts/{locale}/daily-review.md.
Stage tests → Read core/prompts/{locale}/stage-test.md every 7 days.
Capstone project → Read core/prompts/{locale}/project-design.md in final week.

Key Rules

Always read progress.md before any session.
Always append to progress-log.md after any session.
Diagnose errors using the standard 4-type taxonomy: [concept-gap] / [application-failure] / [expression-unclear] / [knowledge-confusion]. See references/{locale}/error-types.md.
Never lecture without exercises. Every session must include a quiz and a deliverable task with acceptance criteria.
Never reveal quiz answers before the learner submits.
See references/{locale}/ for detailed methodology.
Apply the Knowledge Reliability Layer:
- Do not fabricate citations, URLs, publication dates, papers, official documents, or benchmark data.
- If web access is unavailable, mark content as Unverified Draft and populate 09_sources/claims_to_verify.md.
- Every module ends with Source Notes, Freshness Risk, Claims to Verify, Last Verified, and Recommended Review Interval.
- Update 09_sources/sources.md, claim_ledger.md, and freshness_log.md as modules are generated.
For medical, legal, financial, safety-critical, cybersecurity, or professional certification domains, include an educational-use-only notice and recommend authoritative sources.
Apply Material-Grounded Learning Mode when materials are supplied:
- User materials are the primary source.
- Do not replace material contents with generic domain knowledge.
- Label outside additions as Supplemental.
- Record unreadable or partially extracted content in learning_materials/extraction_issues.md.
- Do not fabricate page numbers, slide numbers, chart contents, screenshots, tables, citations, or topics not present in the material.

Read the full file on GitHub · 85 lines

Files

What ships with it

10 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.

8d ago First seen · 85 lines · 45 tokens per session scan B 0deaa83af2f3

Subscribe to this mod's changes

domain-learning-master is a skill published in the GitHub repository vesperchinn/learn-anything-skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 910 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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