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 calesthio/generative-media-skills --skill cinematic-trailer-productiongit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/cinematic-trailer-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/cinematic-trailer-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/cinematic-trailer-production/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/calesthio/generative-media-skills/cinematic-trailer-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/cinematic-trailer-production.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 | $0.00089 | $0.06859 |
| Opus 5 | $0.00044 | $0.03429 |
| Sonnet 5 | $0.00018 | $0.01372 |
| Haiku 4.5 | $0.00009 | $0.00686 |
Grade A, and why
cinematic-trailer-production 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 13d 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 — 544 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cinematic Trailer Production
Use this skill when the user wants a trailer-like video: a movie-style trailer, teaser, launch trailer, game trailer, documentary trailer, series promo, event reveal, high-impact product preview, or social cutdown that sells anticipation rather than fully explaining everything.
This is a production discipline skill, not a provider manual. Pair it with the relevant local pipeline, generation-provider skill, editing/composition skill, and delivery tool instructions before calling tools or exporting files.
Core rule
Make one promise, then escalate proof of that promise.
A trailer is not a miniature full story. It is an engineered desire machine: the audience should understand the genre, stakes, tone, and reason to care while still wanting the full release. Every beat, shot, caption, sound cue, and title card should earn attention or increase anticipation.
Start with the trailer brief
Before writing prompts or generating clips, lock these decisions:
- Trailer type
- Teaser: intrigue, tone, one image or question, usually minimal plot.
- Theatrical/hero trailer: complete emotional arc, stakes, characters/product promise, climax tease.
- Launch trailer: availability and conversion; spectacle plus clear release/CTA.
- Game trailer: player fantasy, mechanics, world, loop, platforms, release/CTA.
- Documentary trailer: premise, access, central question, credibility, emotional stakes.
- Series promo: world, ensemble, recurring engine, season hook.
- Social cutdown: one hook, fast proof, native vertical composition, minimal dependence on sound.
- Audience and distribution
- Primary platform and aspect ratio.
- Runtime target and whether shorter cutdowns are required.
- Sound-on versus sound-optional environment.
- Accessibility/captions requirement.
- Ratings, claims, disclosure, and legal review constraints.
- One-sentence logline
- Format: "When [inciting pressure], [subject] must [action/choice] before [stakes/consequence]."
- For products: "For [audience] facing [pain], [product] makes [transformation] possible by [proof/mechanism]."
- Hook
- The first 3-5 seconds must contain an image, line, question, contradiction, deadline, or sonic event strong enough to survive scrolling.
- Emotional destination
- Choose the final feeling: dread, awe, urgency, triumph, mystery, rebellion, tenderness, prestige, discovery, FOMO, or trust.
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.
- 13d ago First seen · 544 lines · 89 tokens per session scan A 3133635494fe
cinematic-trailer-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 89 tokens to every session and 6,859 once invoked, about $0.0004 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.
Other skills, from other repositories
cliptalk-cover-director
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video. Use when the user asks for a cover, poster frame, thumbnail, or multiple cover directions; do not use for timeline editing or social-video reframing.
cliptalk-smart-reframe
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut. Use for automatic vertical, square, or portrait reframing; do not use for a fixed manual crop or before content editing is accepted.
cliptalk-content-extractor
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
cliptalk-interview-editor
Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview. Use for interviews, podcasts, testimonials, or question-and-answer recordings.
cliptalk-shortform-hook-director
Finds and assembles a reviewable short-form cut with a strong opening hook. Use for Shorts, Reels, social clips, talking-head cutdowns, or requests for a punchier opening.
cliptalk-social-reframe-exporter
Creates a review-only 9:16, 4:5, 1:1, or 16:9 version from an existing accepted ClipTalk cut, then checks the rendered preview. Use only when a cut already exists and the user asks to adapt it for Shorts, Reels, Douyin, Xiaohongshu, WeChat Channels, or square feeds; do not use when the user still needs content found…