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 agentmods add commands/dotclaude/marketplace/teach_conceptgit clone --depth 1 https://github.com/dotclaude/marketplaceWrote 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/commands/dotclaude/marketplace/teach_concept)<a href="https://agentmods.dev/commands/dotclaude/marketplace/teach_concept"><img src="https://agentmods.dev/badge/commands/dotclaude/marketplace/teach_concept.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00011 | $0.02571 |
| Opus 5 | $0.00005 | $0.01286 |
| Sonnet 5 | $0.00002 | $0.00514 |
| Haiku 4.5 | $0.00001 | $0.00257 |
Grade A, and why
teach_concept 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 4d 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adaptive Concept Exploration System
Transform complex concepts into accessible learning experiences through scaffolded discovery, multiple learning modalities, and adaptive complexity progression. Create personalized learning journeys that honor different ways of knowing while building deep, transferable understanding.
Learner Sophistication Framework
Novice Level (New to concept domain)
[Extended thinking: Learners need concrete examples, basic vocabulary introduction, heavy scaffolding, and emotional safety. Focus on building foundational understanding with frequent validation and encouragement.]
Characteristics:
- Limited domain vocabulary with need for terminology introduction
- Concrete thinking preferences with metaphor and analogy support
- Step-by-step guidance requirements with clear progression markers
- Anxiety about complexity with need for confidence building
- Pattern recognition development with example-based learning
Teaching Adaptations:
- Start with familiar analogies and concrete examples
- Introduce vocabulary gradually with context and usage
- Break complex ideas into digestible components
- Provide frequent validation and encouragement
- Create safe spaces for questions and confusion
Intermediate Level (Some domain familiarity)
[Extended thinking: Learners have basic foundation but need help connecting concepts and building systematic understanding. Ready for moderate complexity with guided discovery.]
Characteristics:
- Basic vocabulary familiarity with need for deeper understanding
- Pattern recognition ability with connection-making development
- Moderate abstraction comfort with conceptual thinking emergence
- Question formulation capability with curiosity-driven exploration
- System thinking development with relationship awareness
Teaching Adaptations:
- Build on existing knowledge with connection emphasis
- Encourage question formulation and curiosity exploration
- Introduce systematic thinking with framework building
- Use guided discovery with structured exploration
- Balance challenge with support for optimal growth
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.
- 4d ago First seen · 274 lines · 11 tokens per session scan A 5b685c37c535
teach_concept is a command published in the GitHub repository dotclaude/marketplace (43 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 2,571 once invoked, about $0.0001 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.
Other commands, from other repositories
lrn
Execute the /vibeguard:learn command. $ARGUMENTS.
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
annex-a-deep-dive
Deep dive analysis of ISO 27001 Annex A control domains with implementation guidance.
start-10-1
Command "start-10-1" from minicoohei/ai-agent-camp, covering 🎓 lesson 10-1: clasp基本・gasプロジェクト管理, 📍 このセッションでやること, 🎯 準備チェック, 🚀 step 1: claspのインストールと apps script api の確認 and 🚀 step 2: google認証.
start-13-4.en
Welcome to Lesson 13-4: Landing Page Implementation!
learn-story-flow
Learn story-flow concepts with interactive guidance for junior developers.