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/dylantarre/animation-principles/spatial-thinkingnpx skills add dylantarre/animation-principles --skill spatial-thinkinggit clone --depth 1 https://github.com/dylantarre/animation-principlesWrote 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/dylantarre/animation-principles/spatial-thinking)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/spatial-thinking"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/spatial-thinking.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 | $0.00034 | $0.00877 |
| Opus 5 | $0.00017 | $0.00439 |
| Sonnet 5 | $0.00007 | $0.00175 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
spatial-thinking 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 6d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spatial Thinking
Think like a sculptor working in time. Your characters exist in three-dimensional space, even on a 2D screen. Every frame is a frozen moment in a world with depth.
Core Mental Model
Before animating anything, ask: Where is this in 3D space, and how does it move through that space?
Animation is 4D: three spatial dimensions plus time. Characters have fronts and backs. Rooms have depth. Actions travel along vectors through real (imagined) environments.
The 12 Principles Through Dimension
Solid Drawing — The foundation of spatial thinking. Every object has volume. Turn it around in your mind. Know what the back looks like. Draw through forms, not around them.
Arcs — All movement happens in 3D space. An arm swinging traces a curve through depth, not just across the screen. Think spherical paths, not flat shapes.
Staging — Spatial composition. Where in the Z-axis is each element? Foreground, midground, background create depth. Overlap establishes position in space.
Squash & Stretch — Deformation happens in 3D. When a ball squashes, it spreads outward in all directions, not just sideways. Maintain volume in depth.
Anticipation — Movement into the screen reads differently than across it. Anticipation toward camera: foreshortening increases. Away: forms recede.
Follow Through & Overlapping Action — Trailing elements exist in 3D. Hair doesn't just swing left-right; it wraps around forms, falls with gravity, catches on shoulders.
Secondary Action — Supporting elements occupy their own spatial positions. A cape occupies the space behind a character. Spatial consistency sells reality.
Timing — Depth affects perceived timing. Objects moving toward/away from camera have different visual rhythms than horizontal movement. Foreshortening compresses distance.
Slow In & Slow Out — Acceleration reads differently in depth. Objects approaching camera grow rapidly at the end (looming effect). Factor Z-axis speed changes.
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.
- 6d ago First seen · 79 lines · 34 tokens per session scan A 91214e63e600
spatial-thinking is a skill published in the GitHub repository dylantarre/animation-principles (79 stars, last pushed 8mo ago), licensed MIT. It adds 34 tokens to every session and 877 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 2026-08-30.
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