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/noelpuig/claude-explains/make-videonpx skills add noelpuig/claude-explains --skill make-videogit clone --depth 1 https://github.com/noelpuig/claude-explainsWrote 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/noelpuig/claude-explains/make-video)<a href="https://agentmods.dev/skills/noelpuig/claude-explains/make-video"><img src="https://agentmods.dev/badge/skills/noelpuig/claude-explains/make-video.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 5.1 | $0.00039 | $0.01513 |
| Opus 5 | $0.00019 | $0.00757 |
| Sonnet 5 | $0.00008 | $0.00303 |
| Haiku 4.5 | $0.00004 | $0.00151 |
Grade A, and why
make-video 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 5d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Generation Pipeline
Topic: $topic Target duration: $duration minutes CLI tool: ../cli/bin/claude-video.js
** MANDATORY FIRST STEP — do this BEFORE anything else, no exceptions: **
Ask the user these questions BEFORE reading help commands, before planning, before creating any files. Do NOT proceed until they answer ALL of them:
Before I start:
- Do you want to review the animation before final render?
- Yes — I'll pause after assembly so you can annotate problems in your browser.
- No — Fully autonomous, render without stopping.
- What quality level?
- Standard — Automated validation + storyboard checks.
- Maximum — All standard checks PLUS visual verification sub-agents that render every diagram and scene to PNG and visually inspect for layout issues. Slower but catches problems the LLM can't see from code alone.
- How deep should the explanations go? Here are three estimated lengths based on what you asked for:
(Fill X, Y, Z with estimates based on the source material and topic complexity.)
- Brief (~X minutes) — Cover the main concepts, skip details. Quick overview.
- Standard (~Y minutes) — Explain each concept clearly with examples.
- Deep (~Z minutes) — Full deep-dive with step-by-step walkthroughs, exercises, formula derivations, and repeated summaries for retention.
After the user answers, spawn the planner agent immediately with the topic, source material path, user answers, and estimated duration. Do NOT pick colors yourself — the planner creates the design brief with the full palette.
When the planner returns:
- Read
plan/design-brief.json - Confirm the accent color with the user: "I'll use #XXXXXX as the accent."
- Store in progress.json:
"human_review","max_quality","target_depth","estimated_duration_min","accent_color", and the full palette - The planner also creates
plan/outline.json— review it before proceeding
Pass plan/design-brief.json path to EVERY sub-agent delegation. Sub-agents
read their colors from this file. The accent color MUST NOT change across the video.
DO NOT skip this. DO NOT assume the answers. DO NOT start implementation until the planner has completed and the user has confirmed the accent color.
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.
- 5d ago First seen · 126 lines · 0 tokens per session scan A 335c6c9936f2
make-video is a skill published in the GitHub repository noelpuig/claude-explains (2 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 1,513 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 2026-08-31.
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