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 dylantarre/animation-principles --skill refreshergit 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/refresher)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/refresher"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/refresher/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/dylantarre/animation-principles/refresher"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/refresher.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 | $0.00024 | $0.00574 |
| Opus 5 | $0.00012 | $0.00287 |
| Sonnet 5 | $0.00005 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00057 |
Grade A, and why
Animation Principles - Refresher 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 9d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Principles Refresher
You know these. Here's the checklist.
The 12
-
Squash/Stretch - Volume constant, shape varies. Check your impacts and fast motion.
-
Anticipation - Is the audience prepared? Opposite direction, proportional to action.
-
Staging - Silhouette test. One idea. Where's the eye going?
-
Straight Ahead / Pose to Pose - Right method for this shot? Maybe hybrid.
-
Follow Through / Overlap - Does everything stop at once? (It shouldn't.) Hierarchy: root leads, tips lag.
-
Slow In / Out - Checked your spacing charts? Bunched at ends, spread in middle.
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Arcs - Track the paths. Everything curves unless intentionally broken.
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Secondary Action - Supporting, not competing. Add after primary works.
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Timing - Frame count matches intent? Weight, mood, pacing all live here.
-
Exaggeration - Did you push it enough? (Probably not.) Find real, then go 20% past.
-
Solid Drawing - Does it have weight? Volume consistent through motion?
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Appeal - Would you watch this? Clear shapes, readable pose, distinctive design?
Quick Diagnosis
Floaty? Check timing and slow in/out. Probably too even.
Stiff? Add overlap. Offset timing. Break symmetry.
Confusing? Staging issue. Simplify. One idea per shot.
Mechanical? Arcs are probably too straight. Add anticipation variety.
Dead? Secondary action missing. Overlap insufficient.
Boring? Push exaggeration. Check appeal. Vary timing.
Shot Checklist
Before calling it done:
- Silhouette reads
- Arcs tracked
- Spacing varied (slow in/out)
- Overlap on all appendages
- Secondary action supports (doesn't compete)
- Exaggeration appropriate to style
- Timing matches weight and mood
- Anticipation proportional
- Volume consistent
- Appeal present
Principle Priority by Shot Type
Action: Timing > Arcs > Anticipation > Squash/Stretch Dialogue: Staging > Secondary > Timing > Appeal Comedy: Timing > Exaggeration > Anticipation > Staging Subtle acting: Secondary > Overlap > Timing > Staging
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.
- 9d ago First seen · 73 lines · 24 tokens per session scan A 0e92a72d7b25
Animation Principles - Refresher is a skill published in the GitHub repository dylantarre/animation-principles (80 stars, last pushed 8mo ago), licensed MIT. It adds 24 tokens to every session and 574 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 2026-08-30.
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