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 alecs5am/ralphy --skill cinematic-motion-languagegit clone --depth 1 https://github.com/alecs5am/ralphyWrote 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/alecs5am/ralphy/cinematic-motion-language)<a href="https://agentmods.dev/skills/alecs5am/ralphy/cinematic-motion-language"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/cinematic-motion-language/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/alecs5am/ralphy/cinematic-motion-language"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/cinematic-motion-language.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 | $0.00060 | $0.01701 |
| Opus 5 | $0.00030 | $0.00851 |
| Sonnet 5 | $0.00012 | $0.00340 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade A, and why
cinematic-motion-language 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cinematic Motion Language
Purpose
This skill provides the five-pillar language system for constructing video prompts with cinematic precision. Apply it to any video generation task — atmosphere shots, product reveals, character scenes, abstract motion, sacred/spiritual visuals, or any brief where imprecise language would produce unpredictable results.
The core principle: the model understands physics, geometry, sequence, and constraint — not adjectives. Replace every vague descriptor with a physical analogy, spatial coordinate, temporal sequence, or hard rule.
The Five Pillars
-
- Camera Contract
State the camera's behavior as a hard rule before describing anything else. The model treats the camera as a character — define it or it will improvise.
Examples:
- "Static locked-off camera. Zero movement. No pan, no zoom, no dolly, no shake."
- "Slow push-in only — 10% scale change over the full duration."
- "Single handheld drift, slight organic sway, no cuts."
- Always reinforce camera rules in the negative prompt as well.
2. Motion Physics Anchor
Give every moving element a speed reference from the physical world, not an adjective. Pair physical analogies with time-anchored measurements for maximum precision.
Speed analogy examples:
- "like dust suspended in honey"
- "like embers floating in still air"
- "like smoke through a cathedral at dawn"
- "like the surface of a lake disturbed by a single drop"
Time-anchored measurements:
- "one full revolution across the entire 10-second clip"
- "roughly 6 degrees per second"
- "the pace of a clock's hour hand — imperceptibly slow"
- "travels the full arc in 8 seconds with no pause"
- Never use "slow", "fast", "gentle", "subtle" alone — always anchor to physics or time.
3. Spatial Zoning
Divide the frame into named regions and assign explicit rules to each. This prevents the model from filling empty space with invented content.
Region naming conventions:
- "Left third / center third / right third"
- "Foreground plane / midground / background"
- "Upper half / lower half"
- "Right two-thirds / left void"
What ships with it
1 file 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.
- 6d ago First seen · 179 lines · 60 tokens per session scan A ea8224da9a7b
cinematic-motion-language is a skill published in the GitHub repository alecs5am/ralphy (132 stars, last pushed 15d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,701 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 2026-09-03.
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