blender-video-recreate

blender-video-recreate is a skill for Codex from pandazki/pneuma-skills. It costs 57 tokens per session (692 once invoked), scanned A, original, MIT.

A workflow for rebuilding the visible composition, movement, and timing of a reference video as an editable Blender scene and simple animation. It treats hidden 3D structure as an estimate because a single camera view cannot reveal everything.

In plain words
What is it for?
It helps extract shots and key frames, match camera and subject movement, create a Blender white model, compare it with the reference, and prepare prompts for a video model.
Why use it?
It prevents a reference video from being merely restyled and provides checks against the original at key moments. It also distinguishes the rough 3D reconstruction from the later generated video.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps extract shots and key frames, match camera and subject movement, create a Blender white model, compare it with the reference, and prepare prompts for a video model.

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Install with agentmods
npx agentmods add skills/pandazki/pneuma-skills/blender-video-recreate
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 pandazki/pneuma-skills --skill blender-video-recreate
Clone the repo
git clone --depth 1 https://github.com/pandazki/pneuma-skills

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 blender-video-recreate

README.md
[![agentmods](https://agentmods.dev/badge/skills/pandazki/pneuma-skills/blender-video-recreate/github.svg)](https://agentmods.dev/skills/pandazki/pneuma-skills/blender-video-recreate)
Your own site
<a href="https://agentmods.dev/skills/pandazki/pneuma-skills/blender-video-recreate"><img src="https://agentmods.dev/badge/skills/pandazki/pneuma-skills/blender-video-recreate/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 blender-video-recreate

Your own site · 80×15
<a href="https://agentmods.dev/skills/pandazki/pneuma-skills/blender-video-recreate"><img src="https://agentmods.dev/badge/skills/pandazki/pneuma-skills/blender-video-recreate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 692 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 $0.00057 $0.00692
Opus 5.5 $0.00023 $0.00277
Sonnet 5.5 $0.00011 $0.00138
Haiku 4.5 $0.00006 $0.00069

Measured 24d ago against content hash 2a5ea8112390, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

blender-video-recreate 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 24d 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.

modes/backlot/upstream/blender-video-workflows/skills/blender-video-recreate/SKILL.md · 24 lines

What it actually says

视频复刻白模工作流

从用户提供的参考视频开始,将可观察的构图、空间关系、动作节奏与镜头运动还原为可编辑灰白模,再生成目标风格视频。不要把原视频直接转绘冒充三维复刻。

开始

读取用户已有输入与约束,优先直接检查视频。链接不可访问时尝试可用浏览器;仍无法读取必须说明,并请用户提供可读取视频文件,不得从标题编造镜头。在输入缺失期间可准备工程目录与制作参数,不能声称已完成复刻。 确定参考片段起止时间与需要保留/改变的内容;原片有多个镜头且用户未指定时按原片镜头结构处理。只在片段范围等关键歧义影响工作时提问。未指定目标外观可先完成白模,最终生成采用简洁科幻风格并标明该假设。

执行

  1. 探测实际时长、帧率、尺寸,提取各镜头首尾帧、动作关键帧与必要中间帧。输出 shot-plan.md:时间范围、构图、主体比例、地面和设备布局、人物朝向、动作接触点、相机运动。区分观察事实和遮挡区域的估计。
  2. 用可见物体比例和透视估计空间尺度、焦距与机位。先匹配画幅及关键帧轮廓,再调运动。单目视频无法唯一恢复深度,隐藏结构只建立足够支撑画面的简模,不宣称精确重建。
  3. 阅读 Blender 制作与验收,搭建场景并还原运动。用户要求简化时保留动作和镜头节奏,减少装饰。
  4. 将白模与原片关键时刻并排比较:主体屏幕位置、大小、运动方向、事件时刻和接触关系。定位偏差后修正,保存 comparison.md;不得用“风格不同”掩盖构图或时序错误。
  5. 白模通过预览检查后输出正式 MP4 和 .blend。阅读 视频生成,写提示词,使用可用且获授权的视频模型完成风格化生成。
  6. 按实际结果交付文件和验证状态;视频模型输出仍需检查动作,不将白模验收结论套用到生成视频。

执行边界

“零门槛”表示由代理承担操作与排错,不要求用户自己建模、绑骨或运行代码。必要的输入、权限和服务费用仍以真实环境为准。模型名称是运行环境选择,本 skill 不切换或伪装当前模型。用户只要求白模或提示词时到该阶段停止。

Files

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.

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. 24d ago First seen · 24 lines · 57 tokens per session scan A 2a5ea8112390

Subscribe to this mod's changes

blender-video-recreate is a skill published in the GitHub repository pandazki/pneuma-skills (161 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 692 once invoked, about $0.0002 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 2026-09-23.

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