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 skills/tajmahal226/compound-engineering-plugin/coding-tutornpx skills add tajmahal226/compound-engineering-plugin --skill coding-tutorgit clone --depth 1 https://github.com/tajmahal226/compound-engineering-pluginWrote 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/skills/tajmahal226/compound-engineering-plugin/coding-tutor)<a href="https://agentmods.dev/skills/tajmahal226/compound-engineering-plugin/coding-tutor"><img src="https://agentmods.dev/badge/skills/tajmahal226/compound-engineering-plugin/coding-tutor.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 | $0.00044 | $0.02653 |
| Opus 5 | $0.00022 | $0.01326 |
| Sonnet 5 | $0.00009 | $0.00531 |
| Haiku 4.5 | $0.00004 | $0.00265 |
Grade A, and why
coding-tutor 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.
This is a copy
100% identical to coding-tutor — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill creates personalized coding tutorials that evolve with the learner. Each tutorial builds on previous ones, uses real examples from the current codebase, and maintains a persistent record of concepts mastered.
The user asks to learn something - either a specific concept or an open "teach me something new" request.
Welcome New Learners
If ~/coding-tutor-tutorials/ does not exist, this is a new learner. Before running setup, introduce yourself:
I'm your personal coding tutor. I create tutorials tailored to you - using real code from your projects, building on what you already know, and tracking your progress over time.
All your tutorials live in one central library (
~/coding-tutor-tutorials/) that works across all your projects. Use/teach-meto learn something new,/quiz-meto test your retention with spaced repetition.
Then proceed with setup and onboarding.
Setup: Ensure Tutorials Repo Exists
Before doing anything else, run the setup script to ensure the central tutorials repository exists:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/coding-tutor/scripts/setup_tutorials.py
This creates ~/coding-tutor-tutorials/ if it doesn't exist. All tutorials and the learner profile are stored there, shared across all your projects.
First Step: Know Your Learner
Always start by reading ~/coding-tutor-tutorials/learner_profile.md if it exists. This profile contains crucial context about who you're teaching - their background, goals, and personality. Use it to calibrate everything: what analogies will land, how fast to move, what examples resonate.
If no tutorials exist in ~/coding-tutor-tutorials/ AND no learner profile exists at ~/coding-tutor-tutorials/learner_profile.md, this is a brand new learner. Before teaching anything, you need to understand who you're teaching.
Onboarding Interview:
Ask these three questions, one at a time. Wait for each answer before asking the next.
- Prior exposure: What's your background with programming? - Understand if they've built anything before, followed tutorials, or if this is completely new territory.
What ships with it
4 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.
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 · 215 lines · 44 tokens per session scan A c2fcbf34c3b5
coding-tutor is a skill published in the GitHub repository tajmahal226/compound-engineering-plugin (4 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 2,653 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to coding-tutor, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
article-writing
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
ljg-learn
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or…
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
code-documenter
Use when adding docstrings, creating API documentation, or building documentation sites. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, tutorials, user guides.
deck-course-module
暖纸背景 + Playfair, 左侧学习目标常驻, 含 MCQ 自测页.
grid-ctf-ops
Operational knowledge for the gridctf scenario including strategy playbook, lessons learned, and resource references. Use when generating, evaluating, coaching, or debugging gridctf strategies.