影策 is an open-source workspace for AI film and short-video production, using a freeform canvas and structured workflows to organize scripts, characters, scenes, storyboards, media assets, and generated text, images, video, and audio. It is for creators who manage audiovisual projects through local or trusted deployments, with features for task tracking, asset management, timelines, and AI-agent workflows.
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 ddcat-ai/open-ai-canvas --skill 05git clone --depth 1 https://github.com/ddcat-ai/open-ai-canvasWrote 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/ddcat-ai/open-ai-canvas/05)<a href="https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/05"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/05/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/ddcat-ai/open-ai-canvas/05"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/05.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 | $0.00069 | $0.01197 |
| Opus 5.5 | $0.00028 | $0.00479 |
| Sonnet 5.5 | $0.00014 | $0.00239 |
| Haiku 4.5 | $0.00007 | $0.00120 |
Grade A, and why
影视剧作工坊-05-人物表演 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.
What it actually says
人物表演（模块 05）
主链定位：执行规范 → 身份一致性 → 行为技艺 → 面部肌肉(FACS) → 约束与质量控制。
做什么
本模块决定角色的身体与脸在镜头里做什么，产出填入一条视频提示词的 PERFORMANCE / CHARACTER ACTING（表演 / 角色演技）区块。
方法边界：它是视频提示词之上的表演叠加层，不改变镜头、灯光、服装或调色（那些归 06 / 03 / 04）。产出须经 12 技术语言转换 净化后才成为最终提示词，本模块不直接输出交付文件。
核心公理：表演是压力之下的行为，不是情绪的展示。写目标（指向对手的动词），不写状态。
基础引擎
本模块的底层方法论源：engine/E05-人物表演.md（本模块目录内，44 条，来自 book01/book03/book04）。
执行本模块前先查阅该引擎，取其判断依据、创作准则与反模式清单；引擎为只读源层，本模块负责执行流程。
执行规范层（performance/）
| 子模块 | 文件 | 何时进入 |
|---|---|---|
| 00 执行规范与方法边界 | performance/00-执行规范与方法边界.md |
起点——公理、边界、速览准则、分层表 |
| 01 角色身份与一致性 | performance/01-角色身份与一致性.md |
锁定"角色是谁、跨镜头如何不变"（Soul ID、身份块/运动块分离、角色图集、微表情） |
| 02 行为表演技艺 | performance/02-行为表演技艺.md |
决定一场戏里做什么：五大支柱、聆听与反应、身体四项、主档案、眼神生命力、坏表演图鉴 |
| 03 面部肌肉控制 | performance/03-面部肌肉控制.md |
特写级面部精度：以 AU 动作单元代码取代情绪词 |
| 04 表演约束与质量控制 | performance/04-表演约束与质量控制.md |
装配提示词前按类别追加正向预防措辞 |
| 05 表演任务注入 | performance/05-表演任务注入.md |
让 AI 演员"活"起来的表演任务写法（电影级导演 skill）——核心是眼神即动作：把表演意图写成可执行的注入任务，而非情绪形容词 |
执行流程
- 读 00 —— 确立公理与边界，确认本模块只管表演层。
- 定身份（01） —— 建 Soul ID 与角色锚定块；硬性规则：身份块（静态）与运动块（时间/镜头）分离。
- 定行为（02） —— 写目标与障碍 → 排 2–4 次拍点变化 → 设定身体四项与手上任务 → 出主档案（150–220 词）→ 补眼神生命力。
- 补面部（03） —— 仅特写需要：把关键拍点的面部写成 AU 代码，与 02 的段落组合。
- 过约束（04） —— 按身体/面部/质感/时序等类别追加正向预防措辞。
- 交 12 —— 本模块产出是内部表演层文本，必须经模块 12 转换净化后才进入提示词。
与其他模块的关系
- 上游：04 场景与人物设计（人物资产、场景约束）→ 本模块在其上叠加表演。
- 并行：06 景别构图机位灯光决定机位与光位，本模块决定表演；互不覆盖。
- 下游：12 技术语言转换（净化 + 术语转换）→ 13 交付文件审核。
- 交叉：09 音效中的对白轨与本模块的声音锁定规则相关——声音提示词每个角色一条，逐字粘贴，从不按场景改写。
硬规则速记
- 永远写目标（动词），不写情绪状态。
- 身份块与运动块必须分离，不可混写。
- 眼神生命力强制，非可选。
- 预防措辞一律写正向句（要什么），不写否定句。
- 声音提示词锁定，不按场景改写。
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.
- 11d ago First seen · 56 lines · 69 tokens per session scan A 3210f388024e
影视剧作工坊-05-人物表演 is a skill published in the GitHub repository ddcat-ai/open-ai-canvas (1,391 stars, last pushed 2d ago), licensed MIT. It adds 69 tokens to every session and 1,197 once invoked, about $0.0003 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 2026-10-14.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.