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 0xhughs/director-skills --skill cinematic-video-promptinggit clone --depth 1 https://github.com/0xhughs/director-skillsWrote 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/0xhughs/director-skills/cinematic-video-prompting)<a href="https://agentmods.dev/skills/0xhughs/director-skills/cinematic-video-prompting"><img src="https://agentmods.dev/badge/skills/0xhughs/director-skills/cinematic-video-prompting/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/0xhughs/director-skills/cinematic-video-prompting"><img src="https://agentmods.dev/badge/skills/0xhughs/director-skills/cinematic-video-prompting.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 | $0.00042 | $0.00779 |
| Opus 5.5 | $0.00017 | $0.00312 |
| Sonnet 5.5 | $0.00008 | $0.00156 |
| Haiku 4.5 | $0.00004 | $0.00078 |
Grade A, and why
cinematic-video-prompting 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 2mo 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cinematic-video-prompting
When to use
- The user wants text-to-video, image-to-video, first/last-frame, video extension, multi-shot, audio-aware, or motion-control prompts.
- The user has a shot list or still image and wants to animate it.
- The task requires duration math, camera movement, subject motion, physical consequence, lip sync, or video-specific failure prevention.
When not to use
- The user only needs a still image prompt.
- The user is still developing story with no visual beat.
- The user wants editing of a real video file rather than prompt design.
Required inputs
- Scene or shot goal
- Target duration
- Subject and action
- Camera/framing
- Continuity anchors
Optional inputs
- Reference image/video/audio roles
- Target model
- Aspect ratio/resolution
- Dialogue line
- Audio design
- Negative constraints
Workflow
- Identify the shot purpose and emotional turn.
- Respect the clock: choose one dominant action and one dominant camera behavior for short clips unless the model explicitly supports multi-shot.
- Write time blocks or beat blocks when the model benefits from sequential structure.
- Pair every action with physical consequence: weight, friction, follow-through, environmental reaction, or sound.
- Specify camera movement, lens feel, framing, lighting, palette, texture, and realism guardrails.
- For I2V, preserve source composition and describe only motion, camera, lighting shift, and audio.
- Add audio layers where supported: dialogue, ambience, foley/SFX, and music mood.
- Add edit/post notes when this prompt belongs to a larger AI short-film package: take count, cut point, color-grain unification, and audio bed.
- Route to model-adaptation when a named model is involved.
Decision logic
- If a prompt contains two or more big actions, split into shots.
- If identity drift is likely, generate/reference a character sheet first.
- If hands, mirrors, text, or logos are central, redesign framing or use a more suitable model.
- If the model supports negative prompts, cap constraints to the few failures that would ruin the clip.
What ships with it
12 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.
- checklists/video_prompt_quality_checklist.md 359 B
- examples/image_prompt_to_video_prompt.md 468 B
- references/ai_film_production_pipeline.md 1.2 KB
- references/audio_motion_timing.md 774 B
- references/camera_lens_movement.md 1.3 KB
- references/negative_prompt_patterns.md 925 B
- references/prompt_anatomy.md 818 B
- references/video_prompt_components.md 1.1 KB
- templates/image_to_video_prompt.md 552 B
- templates/text_to_video_prompt.md 564 B
- templates/video_beat_prompt.md 367 B
- tests/video_prompt_completeness_tests.md 312 B
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.
- 2mo ago First seen · 85 lines · 42 tokens per session scan A e082955dfa35
cinematic-video-prompting is a skill published in the GitHub repository 0xhughs/director-skills (18 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 779 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
cinematic-video-prompting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cinematic-video-prompting0xhughs/director-skills | Skill | 18 | 5mo ago | MIT | A | 42 | Claude Code, Codex |
| ai-engineering-toolkitsickn33/agentic-awesome-skills | Skill | 49k | today | MIT | A | 47 | Claude Code |
| prompt-engineering-outlinesdavila7/claude-code-templates | Skill | 33k | today | MIT | B | 53 | Claude Code, Codex |
| prompt-masternidhinjs/prompt-master | Skill | 16k | 15d ago | MIT | B | 78 | Claude Code, Codex |
| create-simple-promptpnp/copilot-prompts | Skill | 902 | 3d ago | MIT | A | 80 | Claude Code, Codex |
| higgsfield-seedanceOSideMedia/higgsfield-ai-prompt-skill | Skill | 863 | 13d ago | MIT | A | 100 | Claude Code |
| higgsfieldOSideMedia/higgsfield-ai-prompt-skill | Skill | 863 | 13d ago | MIT | A | 170 | Claude Code |