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 pandazki/pneuma-skills --skill blender-video-originalgit clone --depth 1 https://github.com/pandazki/pneuma-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/pandazki/pneuma-skills/blender-video-original)<a href="https://agentmods.dev/skills/pandazki/pneuma-skills/blender-video-original"><img src="https://agentmods.dev/badge/skills/pandazki/pneuma-skills/blender-video-original/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/pandazki/pneuma-skills/blender-video-original"><img src="https://agentmods.dev/badge/skills/pandazki/pneuma-skills/blender-video-original.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 | $0.00050 | $0.00789 |
| Opus 5.5 | $0.00020 | $0.00316 |
| Sonnet 5.5 | $0.00010 | $0.00158 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
blender-video-original 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.
What it actually says
原创白模视频工作流
从文字创意建立原创空间、动作和镜头，完成可编辑白模动画、生成提示词及视频模型成片。用户给了必须复刻的视频时使用复刻工作流；只有氛围参考图时仍可在本流程原创。
开始
提取题材、人物数量、动作、时长、画幅、输出规格及最终风格。用户要求全自动时用合理默认值推进：8 秒、1080p、24fps、单一连续镜头、纯白简模、无贴图、简单照明。已给定的参数始终优先，不把默认科幻剧情强加到其他题材。 先检查 Blender、控制接口及视频服务可用性；缺失后半段服务不妨碍先完成白模与提示词，但必须报告缺口。运行模型由宿主决定，不声称 skill 自动启用了 GPT6 Astra。
执行
- 输出 shot-plan.md：创意一句话、场景布局、分秒动作、镜头路径、触发事件、结尾状态。动作数量必须适合时长；将原因安排在结果之前，并留出站稳和动作过渡时间。常规创意选择直接完成，不增加逐阶段审批。
- 阅读 Blender 制作与验收。先搭地面、墙体、入口、主要设备和人物占位体，检查通行宽度、相机可见性和手可触及范围，再做人物关节与动画。
- 先调根节点行走与停步，再添加对侧摆臂、抬手与装置反馈，最后调整相机。若行走与交互手势重叠，分离控制并平滑混合，避免抬手破坏整个步态。
- 做完整低成本预览，检查相位、脚底滑动、穿模、手部接触、镜头抖动及末尾稳定状态。修复后再正式渲染和编码，保存可编辑工程及验收记录。
- 阅读 视频生成，将白模动作时间线写入提示词，补充最终外观，并通过可用且获授权的视频模型生成新视频。
- 检查最终视频与白模的动作和镜头一致性，再分别交付。只完成白模时不得把它称为模型生成的最终成片。
8 秒实验舱示例
仅当需求与此相符时采用：0–0.5 秒入口建立；0.5–3.8 秒走近设备；3.8–4.5 秒减速站稳；4.5–5.5 秒抬手触发；5.5–7.5 秒中央装置蓝光渐亮；7.5–8 秒镜头与主体保持。动作时间可按步幅、距离调整，不能靠滑动人物硬凑时长。
执行边界
全自动意味着在已授权范围内完成制作、预览、修复和导出，不意味着忽略不可用工具或重复付费生成。不要求用户手动操作 Blender；需要补充关键输入或权限时说明具体缺口。用户只要求其中某阶段时按该范围交付。
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.
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.
- 24d ago First seen · 27 lines · 50 tokens per session scan A a4013642ffda
blender-video-original is a skill published in the GitHub repository pandazki/pneuma-skills (161 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 789 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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