Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add josix/agent-flow/plugin install agent-flowWrote 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/josix/agent-flow/explainer-design-system)<a href="https://agentmods.dev/skills/josix/agent-flow/explainer-design-system"><img src="https://agentmods.dev/badge/skills/josix/agent-flow/explainer-design-system/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/josix/agent-flow/explainer-design-system"><img src="https://agentmods.dev/badge/skills/josix/agent-flow/explainer-design-system.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 | $0.00140 | $0.04759 |
| Opus 5.5 | $0.00056 | $0.01904 |
| Sonnet 5.5 | $0.00028 | $0.00952 |
| Haiku 4.5 | $0.00014 | $0.00476 |
Grade A, and why
explainer-design-system 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 20d 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
86% identical to codebase-to-course — 109 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Provenance & Credits
This skill is vendored from zarazhangrui/codebase-to-course by Zara Zhang. The teaching primitives, content philosophy, design system tokens, and interactive-element HTML patterns documented here originate upstream — full credit for the pedagogical model goes to the original author. We renamed the local copy to explainer-design-system to better reflect its role as a design-system reference inside this plugin's single-module pipeline; the upstream URL is recorded in the YAML frontmatter for traceability. All upstream SKILL.md content below the adapter note is preserved verbatim.
Adapter note for agent-flow /explain
This skill is vendored from the upstream repo but wired into this plugin's
single-module /explain pipeline, not its original multi-module directory
output. Speedwagon (the authoring agent) treats this file as guidance, not as
a generator. Concretely:
- Output shape — Speedwagon writes one
<section class="module">HTML fragment to.claude/explain-briefs/<slug>.fragment.html. The assembler (scripts/compile-explain.sh) concatenates it intoexplain-out/index.html. Do not create a course directory,styles.css,main.js,build.sh,_base.html, or_footer.html— those assets live undertemplates/explain/and are owned by the pipeline, not by this skill. - Code blocks inside
<pre>get aclass="language-*"so Prism (loaded by the assembler from CDN) highlights them; inline<code>outside<pre>stays bare. Diagrams come before prose — seereferences/content-philosophy.md'Diagrams Before Prose'. - Module count — exactly 1 module per
/explaininvocation (Senku picks 3–5 screens). Ignore the "4–6 modules" rule from Phase 2 below; treat the single module as Module 1. - Phases that do not apply — Phase 1 (codebase analysis) is already done by Riko, Phase 2 (curriculum design) is already done by Senku, and Phase 2.5 (module briefs) collapses into the single brief Speedwagon writes. Speedwagon starts at Phase 3 "Build the module" with Riko's scope + Senku's curriculum as inputs.
- Reference files that apply — read these from
skills/explainer-design-system/references/when authoring the fragment:content-philosophy.md— metaphor rules, tone, visual density, quiz designdesign-system.md— warm palette, typography, spacing tokensinteractive-elements.md— HTML patterns for translator blocks, chat animations, flow animations, quizzes, callouts, glossary tooltipsgotchas.md— failure-mode checklist to run before declaring done
- Reference files that do NOT apply —
module-brief-template.mdis superseded by the brief shape illustrated in${CLAUDE_PLUGIN_ROOT}/templates/explain/module-brief-example.md. Reader language and the plain-language restatement contract are defined incommands/explain.md(canonical source). - Mandatory interactive elements, adapted — the upstream skill requires
all five element types across the whole course. For a single module, aim
for at least: one code↔English translator (already required by
/explain), one quiz or callout, glossary tooltips on technical terms, and one of {group chat animation, flow animation, architecture diagram} if the topic has any actor-to-actor communication. Skip elements that would feel forced.
What ships with it
5 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.
- 20d ago Changed f1bf80152ca5
- 1mo ago First seen · 271 lines · 140 tokens per session scan A a6ed515dc1f7
explainer-design-system is a skill published in the GitHub repository josix/agent-flow (8 stars, last pushed 2d ago), licensed MIT. It adds 140 tokens to every session and 4,759 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to codebase-to-course, differing in 109 lines, and is treated as a copy.
Other skills, from other repositories
concept-diagrams
Generate flat, minimal educational SVG visuals as HTML.
baoyu-comic
A creator for educational comics, including biographies and tutorials, that turns supplied content or topics into illustrated comic pages.
memento-flashcards
Spaced-repetition flashcards: create, review, quiz, export.
manim-video
Manim CE animations: 3Blue1Brown math/algo videos.
canvas
Fetch Canvas LMS courses and assignments via API token.
shogun-bloom-config
An interactive wizard that creates model-routing settings from your AI subscription choices. Model routing decides which available model handles each kind of task.