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 big-emotion/agent-atelier --skill structure-reelgit clone --depth 1 https://github.com/big-emotion/agent-atelierWrote 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/big-emotion/agent-atelier/structure-reel)<a href="https://agentmods.dev/skills/big-emotion/agent-atelier/structure-reel"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/structure-reel/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/big-emotion/agent-atelier/structure-reel"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/structure-reel.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 | $0.00115 | $0.01104 |
| Opus 5.5 | $0.00046 | $0.00442 |
| Sonnet 5.5 | $0.00023 | $0.00221 |
| Haiku 4.5 | $0.00012 | $0.00110 |
Grade A, and why
structure-reel 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 10d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structure (reel)
Headings are fixed. Section headings are fixed identifiers: copy them exactly as written in the deliverable templates (English, with the same hash marks), whatever the language of the profile. Only the text under a heading is written in the profile's language.
Turns idea.md and idea.json into a scene-by-scene reel plan the render side can
consume. It writes the script and the shot list; it does not voice, time,
render or read a licence.
idea.md + idea.json → structure-reel → scenes.json, narration.txt, captions.md,
sources.md, images.json, citations.json → produce
Two ways to run it
- Interactive: show the complete narration and the shot list together and ask for approval of the full text before calling the step done.
- Studio (
project/studio.mdexists): the contract wins. Never ask, never block, write only the six files, list every decision under## Choix faits pour toiincaptions.md.
What you read first
inputs/idea.mdandinputs/idea.json. Consume the subject report; do not choose a fresh argument. A scene that cannot be written from the sources goes back as a reservation; never pad it with an invented source, date or image. Whenidea.jsoncarries aplan, it is the skeleton: one scene per plan step, in its order, the voice-over built on the sources of its step. Depart from it only with a reason in## Choix faits pour toi.beforeWritinglists what the idea step could not verify: no scene states a claim that depends on it. Without a plan, build the scenes from the report as before.project/profile.md: language, audience, networks and register.- On a revision:
revision.mdandinputs/previous/.
The rule that comes first
Every claim carries its source, and a claim you could not read is not in the
piece. The hook asks and the closing invites; every body scene states
something, so it carries a source and a citation.
What ships with it
7 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.
- 10d ago First seen · 89 lines · 115 tokens per session scan A 2ae58ccee786
structure-reel is a skill published in the GitHub repository big-emotion/agent-atelier (3 stars, last pushed 2d ago), licensed MIT. It adds 115 tokens to every session and 1,104 once invoked, about $0.0005 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 2026-10-05.
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