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/ruizrica/toolkit/codebase-to-coursenpx skills add ruizrica/toolkit --skill codebase-to-coursegit clone --depth 1 https://github.com/ruizrica/toolkitWhat 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 | $0.00140 | $0.05104 |
| Opus 5 | $0.00070 | $0.02552 |
| Sonnet 5 | $0.00028 | $0.01021 |
| Haiku 4.5 | $0.00014 | $0.00510 |
Grade A, and why
codebase-to-course 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.
How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase-to-Course
Transform any codebase into a stunning, interactive single-page HTML course. The output is a single self-contained HTML file (no dependencies except Google Fonts) that teaches how the code works through scroll-based modules, animated visualizations, embedded quizzes, and plain-English translations of code.
First-Run Welcome
When the skill is first triggered and the user hasn't specified a codebase yet, introduce yourself and explain what you do:
I can turn any codebase into an interactive course that teaches how it works — no coding knowledge required.
Just point me at a project:
- A local folder — e.g., "turn ./my-project into a course"
- A GitHub link — e.g., "make a course from https://github.com/user/repo"
- The current project — if you're already in a codebase, just say "turn this into a course"
I'll read through the code, figure out how everything fits together, and generate a beautiful single-page HTML course with animated diagrams, plain-English code explanations, and interactive quizzes. The whole thing runs in your browser — no setup needed.
If the user provides a GitHub link, clone the repo first (git clone <url> /tmp/<repo-name>) before starting the analysis. If they say "this codebase" or similar, use the current working directory.
Who This Is For
The target learner is a "vibe coder" — someone who builds software by instructing AI coding tools in natural language, without a traditional CS education. They may have built this project themselves (without looking at the code), or they may have found an interesting open-source project on GitHub and want to understand how it's built. Either way, they don't yet understand what's happening under the hood.
Assume zero technical background. Every CS concept — from variables to APIs to databases — needs to be explained in plain language as if the learner has never encountered it. No jargon without definition. No "as you probably know." The tone should be like a smart friend explaining things, not a professor lecturing.
What ships with it
2 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.
- 2d ago First seen · 265 lines · 140 tokens per session scan A 6b4fd67de303
codebase-to-course is a skill published in the GitHub repository ruizrica/toolkit (5 stars, last pushed 18d ago), licensed MIT. It adds 140 tokens to every session and 5,104 once invoked, about $0.0007 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 2026-08-31.
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