Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.
Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/coding-tutor)<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/coding-tutor"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/coding-tutor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/coding-tutor"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/coding-tutor.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $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 11d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- coding-tutor — 100% identical, 0 lines differ
- coding-tutor — 100% identical, 0 lines differ
- coding-tutor — 100% identical, 0 lines differ
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.
- 11d ago First seen · 215 lines · 44 tokens per session scan A c2fcbf34c3b5
coding-tutor is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,235 stars, last pushed 10d ago), licensed Apache-2.0. 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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canvas
Canvas LMS integration — fetch enrolled courses and assignments using API token authentication.
memento-flashcards
Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.
manim-video
Production pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations…