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 straight-ahead-pose-masterygit 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/straight-ahead-pose-mastery)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/straight-ahead-pose-mastery"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/straight-ahead-pose-mastery/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/straight-ahead-pose-mastery"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/straight-ahead-pose-mastery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00029 | $0.00824 |
| Opus 5 | $0.00015 | $0.00412 |
| Sonnet 5 | $0.00006 | $0.00165 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
straight-ahead-pose-mastery 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Straight Ahead vs Pose to Pose Mastery
The Workflow Principle
This principle isn't about what animation looks like—it's about how animation is created. Two fundamentally different approaches produce different qualities, and understanding when to use each (or combine them) separates competent animators from masters.
Core Theory
Straight Ahead Action: Drawing frame 1, then frame 2, then frame 3, sequentially. The animator discovers the motion while creating it. Like jazz improvisation—spontaneous, energetic, unpredictable.
Pose to Pose: Planning key poses first, then filling in between. The animator architects the motion before executing. Like classical composition—controlled, precise, structured.
Character Comparison
| Aspect | Straight Ahead | Pose to Pose |
|---|---|---|
| Energy | Wild, organic | Controlled, deliberate |
| Planning | Minimal | Extensive |
| Proportion control | Difficult | Easy |
| Spontaneity | High | Lower |
| Revisions | Costly | Efficient |
| Best for | Effects, chaos, fluidity | Acting, dialogue, precision |
The Hybrid Approach
Modern animation rarely uses pure methods. The standard workflow:
- Block key poses (pose to pose planning)
- Add breakdowns between keys
- Straight ahead through detailed in-betweens
- Polish with spontaneous additions
This captures benefits of both: structural clarity with organic life.
Interaction with Other Principles
Timing is easier with pose to pose: You can adjust spacing before committing to in-betweens.
Squash/stretch benefits from straight ahead: The organic flow discovers natural deformation.
Arcs are cleaner with pose to pose: Planned paths prevent drift.
Secondary action often goes straight ahead: Spontaneous treatment keeps it subordinate and natural.
Domain Applications
UI/Motion Design
Pose to Pose scenarios:
- Page transitions (defined start/end states)
- Loading sequences (specific keyframes)
- Micro-interactions (precise feedback loops)
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 · 102 lines · 29 tokens per session scan A 5c7b279f9209
straight-ahead-pose-mastery is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 29 tokens to every session and 824 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 2026-09-03.
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