Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/judeyang/judeyang-skills/shot-designer)<a href="https://agentmods.dev/skills/judeyang/judeyang-skills/shot-designer"><img src="https://agentmods.dev/badge/skills/judeyang/judeyang-skills/shot-designer/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/judeyang/judeyang-skills/shot-designer"><img src="https://agentmods.dev/badge/skills/judeyang/judeyang-skills/shot-designer.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 | $0.00154 | $0.05582 |
| Opus 5 | $0.00077 | $0.02791 |
| Sonnet 5 | $0.00031 | $0.01116 |
| Haiku 4.5 | $0.00015 | $0.00558 |
Grade A, and why
镜头设计师 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 11d 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 — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
镜头设计师
Created by JudeYang.
Use this skill to design production-ready image/video prompts from an approved script, client confirmation workbook, storyboard, or asset plan.
This skill owns prompt generation. Upstream producer skills such as 韦斯安德森 should call this skill instead of carrying prompt-writing rules directly.
Inputs
Use the most complete available sources:
- approved client confirmation workbook, such as
项目名_脚本与资产确认表_v01.xlsx - internal asset production workbook, such as
设定资产制作表_v01.xlsx - confirmed character, scene, product, prop, and effect assets under
03_设定资产/ - user-provided prompt reference or approved style sample
- picture ratio, such as
9:16竖屏or16:9横屏 - platform/tool target, such as Seedance, LibTV, or a generic image/video model
If required source facts are missing, mark them as 待提供 or 待确认. Do not invent product appearance, official logo details, screen text, character approvals, or client decisions.
Outputs
Typical outputs:
- internal asset image prompts inside
设定资产制作表_v01.xlsx 05_内部制作执行/内部执行脚本与Prompt表_v01.xlsx- first-frame, optional middle-keyframe, and end-frame prompts
生成前执行说明视频内容Prompt(含声音/负面)- keyframe generation task list or visual QC notes
Python scripts may create workbook scaffolds, extract source fields, and validate finished prompts. They must not generate final prompt prose by template.
Video Prompt Output Contract
When writing 视频内容Prompt(含声音/负面), copy this exact top-level structure. Do not rename, translate, reorder, or replace these three headings with alternatives such as 视频类型、产品一致性、声音要求、三段式结构、第一段/第二段/第三段.
【基础设定】
镜头任务:
参考素材:
人物/产品/道具/场景:
连续性:
声音:
文字策略:默认画面为无文字纯图片。禁止生成字幕、标题、角标、水印、说明文字、乱码、伪Logo、排版边框和UI界面。产品镜头仅保留官方素材中已有的品牌Logo和官方屏显信息;剧情道具文字只允许最小必要大字或后期替换占位。
【氛围与画质】
风格核心:
视觉基调:
色彩与影调:
质量边界:
【画面内容】
分镜一:00:00-00:00
景别:
机位:
构图:
运镜手法:
画面内容:
特效:
声音:
结束状态:
衔接要求:
If a field is not relevant, write a concrete negative or boundary such as 特效:无新增特效 or 参考素材:未提供实际文件,按文字设定执行;不得写成已上传参考图. Do not omit fields.
What ships with it
11 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.
- agents/openai.yaml 285 B
- examples/expected-prompt-structure.md 870 B
- README_EN.md 2.0 KB
- README.md 2.1 KB
- references/prompt_standard.md 19 KB
- references/shot_type_registry.md 3.5 KB
- references/voice_dialogue_rules.md 11 KB
- scripts/build_asset_prompt_table.py 8.7 KB runs code
- scripts/build_prompt_table.py 15 KB runs code
- scripts/validate_prompt_detail.py 23 KB runs code
- test-prompts.json 977 B
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.
- 11d ago First seen · 371 lines · 0 tokens per session scan A 865f385d65d0
镜头设计师 is a skill published in the GitHub repository judeyang/judeyang-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 5,582 once invoked, about $0.0008 per session on Opus 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.
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