longform-cinematic-video

longform-cinematic-video is a skill for Codex from manishiitg/coding-agent-loop. It costs 61 tokens per session (1,300 once invoked), scanned C, original, MIT.

A directing workflow for making a coherent cinematic video from story planning through generated or deterministic scenes, editing, sound, and final review.

In plain words
What is it for?
Use it to plan scenes, create continuity-controlled sequences, stitch clips together, add sound, and inspect the final seams.
Why use it?
Long videos can feel like disconnected clips unless their story, visual continuity, joins, and sound are coordinated.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to plan scenes, create continuity-controlled sequences, stitch clips together, add sound, and inspect the final seams.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/manishiitg/coding-agent-loop/longform-cinematic-video
Install

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.

Any agent
npx skills add manishiitg/coding-agent-loop --skill longform-cinematic-video
Clone the repo
git clone --depth 1 https://github.com/manishiitg/coding-agent-loop

Made for: Codex.

Wrote 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.

agentmods badge for longform-cinematic-video

README.md
[![agentmods](https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/longform-cinematic-video/github.svg)](https://agentmods.dev/skills/manishiitg/coding-agent-loop/longform-cinematic-video)
Your own site
<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/longform-cinematic-video"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/longform-cinematic-video/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.

agentmods 80×15 button for longform-cinematic-video

Your own site · 80×15
<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/longform-cinematic-video"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/longform-cinematic-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,300 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01300
Opus 5.5 $0.00024 $0.00520
Sonnet 5.5 $0.00012 $0.00260
Haiku 4.5 $0.00006 $0.00130

Measured 1mo ago against content hash fbe08d8e1b67, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

longform-cinematic-video scanned grade C with 1 finding 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 1mo 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

A photoreal host may have illustrated historical cutaways. Do not refuse or
agent_go/internal/videoproduct/skills/longform-cinematic-video/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Direct one film, not a collection of clips

Own the production-level decisions that cross model generation and editing. Read video-storytelling, video-cinematography, minimax-h3-video, video-provider-capabilities, and video-editing for their specialist rules. Keep those responsibilities coordinated by one sequence plan and one editorial grammar.

Define the cinematic contract

The user chooses the visual style: photoreal, hand-drawn, 2D/3D animation, motion graphics, documentary, slideshow, or mixed media. Cinematic means coherent storytelling and intentional picture/sound direction, not realism. A photoreal host may have illustrated historical cutaways. Do not refuse or convert those inserts to photoreal. Realistic characters are not required.

Before scripting, lock the film's dramatic question, audience, runtime, format, emotional arc, point of view, visual language, camera grammar, color journey, sound world, and continuity priorities. State what must remain exact across the film: character identity, wardrobe, props, geography, time of day, screen direction, eyelines, lighting motivation, and recurring audio motifs.

Choose a small visual vocabulary and repeat it intentionally. A cinematic film does not need a new style, lens, camera move, or transition for every beat. Use the user-approved medium for each sequence; a film may combine generated footage, supplied media, and deterministic animation. H3 reference and continuation rules apply to generated-video shots, not every visual sequence.

Plan sequences before shots

Organize the film as chapters, sequences, scenes, and only then shots. Give each sequence an entrance state, dramatic turn, exit state, location, characters, time, lighting, sound, and continuity bridge into the next sequence. A script beat is not automatically a new generated clip.

Create longform-sequence-plan.json before paid video generation. Include:

  • chapter, sequence, scene, and shot identifiers;
  • measured narration or dialogue duration covered by each sequence;
  • H3 route chosen by actual controls: text-only, first-frame or minimal references;
  • references and their exact semantic roles;
  • incoming and outgoing character, prop, geography, motion, camera, lighting, and audio state;
  • generation topology: one H3 take, Reference-to-Video continuation, a motivated H3 camera-angle change, or intentional hard cut;
  • planned cut point, transition grammar, handles, and expected seam risk;
  • the reason every independent generation is unavoidable.

Read the full file on GitHub · 113 lines

Files

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.

Changes

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.

  1. 1mo ago Changed fbe08d8e1b67
  2. 1mo ago Changed · +7 lines scan A → C d8d8f449fd07
  3. 1mo ago Changed · -17 lines 217feee58b96
  4. 2mo ago First seen · 123 lines · 61 tokens per session scan A 05b040d6a83d

Subscribe to this mod's changes

longform-cinematic-video is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 1,300 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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