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 kyh/vibedgames --skill cinematographygit clone --depth 1 https://github.com/kyh/vibedgamesWrote 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/kyh/vibedgames/cinematography)<a href="https://agentmods.dev/skills/kyh/vibedgames/cinematography"><img src="https://agentmods.dev/badge/skills/kyh/vibedgames/cinematography/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/kyh/vibedgames/cinematography"><img src="https://agentmods.dev/badge/skills/kyh/vibedgames/cinematography.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 | $0.00044 | $0.00902 |
| Opus 5 | $0.00022 | $0.00451 |
| Sonnet 5 | $0.00009 | $0.00180 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade A, and why
cinematography 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cinematography with vg generate
Use this skill when the user needs cinematic direction, not generic "make it cinematic" prompting. Load references as needed:
references/shot-language.mdreferences/lighting-lens-color.mdreferences/examples.md
Load model-catalog alongside this skill for default endpoint choices.
Write concrete visual direction. Avoid empty prestige words and em dashes.
Inputs to collect
Ask only for what affects the shot:
- Subject and action.
- Medium: still image, video, image-to-video, edit, storyboard frame.
- Genre and mood.
- Framing: close-up, medium, wide, overhead, POV, profile, locked-off.
- Camera motion for video: push-in, dolly, tracking, handheld, crane, drone.
- Lens feel: wide, normal, telephoto, macro, shallow or deep focus.
- Lighting: natural, practical, studio, noir, high key, low key, backlit.
- Output: aspect ratio, duration, first frame, last frame, download path.
- Preferred model, if the user wants a specific cinematography model or quality/cost profile.
Genmedia workflow
Follow the standard workflow in the generate skill: resolve endpoint → inspect schema/pricing → upload references (first/last frame, style, continuity) → run (stills inline, video --async + status) → download to ./outputs/cinema/{request_id}_{index}.{ext}. Default endpoint IDs are in the Model routing section below.
Prompt build order
Use the SCLCAM structure:
- Subject: who or what is in frame.
- Context: location, time, weather, story moment.
- Lens/framing: distance, angle, focal length feel, depth of field.
- Camera motion: only for video or if motion blur is desired.
- Atmosphere: haze, rain, practicals, reflections, texture.
- Mood/color: palette, contrast, grade, exposure style.
- Output controls: aspect ratio, duration, first-frame continuity.
Example structure:
[subject] in [context], framed as [shot size and angle], [lens feel],
[lighting setup], [camera movement if video], [color grade], [texture],
[duration or aspect ratio], [continuity constraints]
What ships with it
3 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.
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 · 90 lines · 44 tokens per session scan A dc1854d4828f
cinematography is a skill published in the GitHub repository kyh/vibedgames (55 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 902 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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