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 skills add shaomingchan/whiteboard --skill whiteboard-animationgit clone --depth 1 https://github.com/shaomingchan/whiteboardWrote 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/shaomingchan/whiteboard/whiteboard-animation)<a href="https://agentmods.dev/skills/shaomingchan/whiteboard/whiteboard-animation"><img src="https://agentmods.dev/badge/skills/shaomingchan/whiteboard/whiteboard-animation/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/shaomingchan/whiteboard/whiteboard-animation"><img src="https://agentmods.dev/badge/skills/shaomingchan/whiteboard/whiteboard-animation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00391 |
| Opus 5 | $0.00028 | $0.00196 |
| Sonnet 5 | $0.00011 | $0.00078 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
whiteboard-animation 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 10d 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
Whiteboard Animation
Prepare
python skills/whiteboard-animation/scripts/setup_env.py --check
If the check fails, run the same command without --check. Capture the printed PYTHON_PATH and use that interpreter for rendering.
Single Image
<PYTHON_PATH> skills/whiteboard-animation/scripts/generate_whiteboard.py input.png \
--output-dir output/whiteboard \
--duration 10000 \
--canvas-width 1920 \
--canvas-height 1080
Add --no-hand only when the user explicitly requests animation without the drawing-hand overlay.
Batch
<PYTHON_PATH> skills/whiteboard-animation/scripts/batch_generate.py \
--images scene-1.png scene-2.png \
--durations 10000 12000 \
--output-dir output/whiteboard \
--fps 30 \
--jobs 4 \
--canvas-width 1920 \
--canvas-height 1080
Image and duration counts must match. The batch renderer fingerprints inputs and reuses valid segments unless --force is supplied.
Visual Rules
- Preserve the
1920x1080canvas. - Use
drawing-hand-v2.png, which includes a longer forearm to avoid a floating-hand effect near the top edge. - Keep source images on the uniform
#F6F1E3background to avoid white patches during reveal animation. - Verify that every requested segment exists and is a valid H.264 MP4 before returning success.
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.
- 10d ago First seen · 49 lines · 55 tokens per session scan A e14e4e1007f0
whiteboard-animation is a skill published in the GitHub repository shaomingchan/whiteboard (49 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 391 once invoked, about $0.0003 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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