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/dansasser/claude-code-marketplace/explainernpx skills add dansasser/claude-code-marketplace --skill explainergit clone --depth 1 https://github.com/dansasser/claude-code-marketplaceWhat 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 | $0.00028 | $0.00380 |
| Opus 5 | $0.00014 | $0.00190 |
| Sonnet 5 | $0.00006 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
explainer 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 3d 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.
What it actually says
Use the Remotion best practices skill (SKILL.md at the plugin root). Follow its scene planning algorithm for all production steps.
Education Explainer
Input
$ARGUMENTS
Questionnaire
If not answered by the input, ask:
- What topic? — What are we explaining?
- Source? — URL, doc, or should I research it?
- Tone? — Default: Fireship (fast, punchy, conversational). Other options: corporate, casual, technical.
Script
Write a 5-scene script. Present it for approval before building. Each scene needs:
- One-line headline (on screen)
- Voiceover script (exact narrator words)
- Visual description (what to animate — diagrams, flowcharts, icons, step-by-step)
Scene Structure
- Scene 1: Hook — grab attention, state the problem or question
- Scene 2: What it is — define the concept simply
- Scene 3: How it works — the mechanism, with animated diagram or flowchart
- Scene 4: Why it matters — benefits, stats, or comparison
- Scene 5: CTA — what to do next, link on screen
Visual Approach
- SVG-based diagrams and icons for primary visuals.
- If b-roll is used, treat it as a background layer that supports (not replaces) the core diagram-driven explanation.
- Diagrams draw themselves (stroke-dashoffset animation)
- Key numbers use count-up animation
- Each scene has a clear visual metaphor — not walls of text
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.
- 3d ago First seen · 40 lines · 28 tokens per session scan A 2a93806d82d5
explainer is a skill published in the GitHub repository dansasser/claude-code-marketplace (9 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 380 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 2026-08-31.
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