scene-inventory-extractor

scene-inventory-extractor is a skill for Claude Code, Codex from leynos/visual-storytelling-skills. It costs 162 tokens per session (8,191 once invoked), scanned A, original, ISC.

A production-preparation workflow for turning written scenes into the visual materials needed for AI video generation. It records characters, locations, props, shots, and continuity—the details that must stay consistent between scenes.

In plain words
What is it for?
Use it to inventory narrative scenes, prepare character and location references, track props and scene state, and create start, end, and keyframe shot references.
Why use it?
It reduces missed assets and continuity errors, especially when scenes are filmed or generated out of order. It makes it easier to reset a scene to the correct story and object state.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inventory narrative scenes, prepare character and location references, track props and scene state, and create start, end, and keyframe shot references.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leynos/visual-storytelling-skills/scene-inventory-extractor-v2
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 leynos/visual-storytelling-skills --skill scene-inventory-extractor-v2
Clone the repo
git clone --depth 1 https://github.com/leynos/visual-storytelling-skills

Made for: Claude Code, 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 scene-inventory-extractor

README.md
[![agentmods](https://agentmods.dev/badge/skills/leynos/visual-storytelling-skills/scene-inventory-extractor-v2/github.svg)](https://agentmods.dev/skills/leynos/visual-storytelling-skills/scene-inventory-extractor-v2)
Your own site
<a href="https://agentmods.dev/skills/leynos/visual-storytelling-skills/scene-inventory-extractor-v2"><img src="https://agentmods.dev/badge/skills/leynos/visual-storytelling-skills/scene-inventory-extractor-v2/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 scene-inventory-extractor

Your own site · 80×15
<a href="https://agentmods.dev/skills/leynos/visual-storytelling-skills/scene-inventory-extractor-v2"><img src="https://agentmods.dev/badge/skills/leynos/visual-storytelling-skills/scene-inventory-extractor-v2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,191 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00162 $0.08191
Opus 5.5 $0.00065 $0.03276
Sonnet 5.5 $0.00032 $0.01638
Haiku 4.5 $0.00016 $0.00819

Measured 2mo ago against content hash 0775bd0772fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

scene-inventory-extractor 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.

skills/scene-inventory-extractor-v2/SKILL.md · 772 lines

How it starts

The opening of the file, as written. The whole thing — 772 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scene Inventory Extractor

Systematic workflow for extracting comprehensive scene inventories from narrative source material and preparing every visual asset required for AI video generation. Continuity is a first-class deliverable: extract story-state, dressing-state, and object-state before writing prompts so a crew can reset scenes accurately when production shoots out of order.

Execution Context

This skill is designed for a command-line agent with:

  • nanobanana image generation MCP (generate_image, edit_image, character_consistency, and multi_image_fusion as needed), with every image call explicitly using model: gemini-3-pro-image-preview
  • Vision capabilities (ability to inspect generated images for consistency)
  • File system access (structured output directories)

All image generation and verification runs silently — no user confirmation gates during generation phases. Halt only on consistency failures that require human judgement. If gemini-3-pro-image-preview is unavailable through the nanobanana MCP, or if it cannot accept the reference images or character-consistency images required by the current phase, STOP and report the blocker. Do not switch to another image model.

Workflow Overview

Phase Name Output
1 Source Analysis Annotated reading notes
2 Creative Pillars Visual aesthetic + storytelling style + cinematography specification + prompt keyword library
3 Narrative Spine Structure, themes, turnpoints
4 Character Bible Character entries with reference-image specifications
5 Locations Bible Location entries with multi-angle, multi-condition scouting specs
6 Props Bible Props with physical descriptions and ref-image specs
7 Scene Inventory Per-scene breakdowns
8 Continuity Inventory Character/location/prop state tracking across scenes
9 Shot Lists Shot tables with full cinematography fields and duration budgets
10 Thematic Image Plan Key narrative-beat images
11 Reference Image Generation All character, location, and prop reference images with video role manifest
12 Shot-Frame Generation Start frame, end frame, and key frames per shot
13 Consistency Verification + Handoff Vision-based QA pass; final scene pack, frame assets, role manifest, and handoff notes for shot-specifier

Read the full file on GitHub · 772 lines

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. 2mo ago First seen · 772 lines · 162 tokens per session scan A 0775bd0772fc

Subscribe to this mod's changes

scene-inventory-extractor is a skill published in the GitHub repository leynos/visual-storytelling-skills (9 stars, last pushed 28d ago), licensed ISC. It adds 162 tokens to every session and 8,191 once invoked, about $0.0006 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.

Related

scene-inventory-extractor compared with skills from other repositories

scene-inventory-extractor next to 6 skills from other repositories
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