忠实执行已锁定的电影解说样片或正式导演方案,完成截取、拼接、字幕、混音、增量渲染和技术验收。用于快速生成可供用户判断的样片,或对用户认可后的正式成片执行完整技术检查;不得替编导改变镜头和节奏。

Apache-2.0Auto-check passed

Install Movie Render QA

skills CLI
$ npx skills add straighttttt/movie-commentary-workflow --skill movie-render-qa -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install straighttttt/movie-commentary-workflow movie-render-qa --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/straighttttt/movie-commentary-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/movie-render-qa .claude/skills/movie-render-qa && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
movie-render-qa
GitHub stars
135
Token cost
~326 tokens
SKILL.md length
76 words
Files
4 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

忠实执行已锁定的电影解说样片或正式导演方案,完成截取、拼接、字幕、混音、增量渲染和技术验收。用于快速生成可供用户判断的样片,或对用户认可后的正式成片执行完整技术检查;不得替编导改变镜头和节奏。

  • Works in 5 steps: 读取 AGENTS.md、项目状态、导演方案、旁白、时间戳和字幕。 → 如果 workflow_control.status 为… → 样片要求代理方案已锁定;正式成片要求正式导演方案已锁定。 → …
  • SKILL.md covers 读取输入, 渲染前检查, 样片模式 and 正式模式, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Movie Render QA is an agent skill from straighttttt/movie-commentary-workflow. 忠实执行已锁定的电影解说样片或正式导演方案,完成截取、拼接、字幕、混音、增量渲染和技术验收。用于快速生成可供用户判断的样片,或对用户认可后的正式成片执行完整技术检查;不得替编导改变镜头和节奏。

Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/qa-checklist.md` and `references/render-contract.md`).

The repository describes itself as: Auditable Codex skills and data contracts for first-person movie commentary production. The licence is Apache-2.0.

Example prompts

  • “/movie-render-qa”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 读取 AGENTS.md、项目状态、导演方案、旁白、时间戳和字幕。
  2. 如果 workflow_control.status 为 PAUSED,且当前用户没有明确授权恢复,立即停止。
  3. 样片要求代理方案已锁定;正式成片要求正式导演方案已锁定。
  4. 新建输出或修改渲染结构前读取 references/render-contract.md。
  5. 验收前读取 references/qa-checklist.md。

What it can do on your machine

Read from SKILL.md and the folder at commit 3d50c17. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Movie Render QA loads about 326 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 28 tokens; SKILL.md has 76 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~326
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from straighttttt/movie-commentary-workflow at commit 3d50c17, republished under its Apache-2.0 licence (© straighttttt). 76 words, ~326 tokens.

Download SKILL.mdSave it as .claude/skills/movie-render-qa/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
movie-render-qa
description
忠实执行已锁定的电影解说样片或正式导演方案,完成截取、拼接、字幕、混音、增量渲染和技术验收。用于快速生成可供用户判断的样片,或对用户认可后的正式成片执行完整技术检查;不得替编导改变镜头和节奏。

电影渲染与技术验收

渲染岗位只执行创意,不决定创意。样片阶段追求快速、可靠、可观看;正式成片阶段执行完整技术验收。

读取输入

  1. 读取 AGENTS.md、项目状态、导演方案、旁白、时间戳和字幕。
  2. 如果 workflow_control.status 为 PAUSED,且当前用户没有明确授权恢复,立即停止。
  3. 样片要求代理方案已锁定;正式成片要求正式导演方案已锁定。
  4. 新建输出或修改渲染结构前读取 references/render-contract.md。
  5. 验收前读取 references/qa-checklist.md。

渲染前检查

样片与正式成片都必须确认:

  • 输入路径和指纹一致;
  • 时间轴无空档或重叠;
  • 原片区间合法;
  • 后期素材块不少于 1 秒;
  • 导演方案可执行。

发现创意矛盾时停止并报告,不得自行换镜头。

样片模式

  1. 新建独立版本目录,不覆盖旧样片。
  2. 忠实生成画面、旁白、锁定声场和字幕。
  3. 执行基础技术检查:完整解码、时长、音轨、字幕、黑帧或损坏、后期新增小于 1 秒为零。
  4. 基础检查通过后立即把 proxy.mp4 交回编导完成一次观看。
  5. 只有编导明确要求时才生成局部证据。
  6. 技术通过不得登记为创意通过或正式成片。

正式模式

  1. 使用完整缓存键增量渲染变化片段。
  2. 先生成 picture-lock,再压字幕并完成混音。
  3. 严格执行锁定字幕、时间戳和声音设计。
  4. 对完整成片执行正式技术验收。
  5. 只有技术通过才能登记 FINAL_RENDERED;FINAL_VERIFIED 仍需独立复检。

增量渲染

  • 缓存键包含原片指纹、区间、变换、编码参数和导演方案指纹。
  • 只有完整输入一致才能复用。
  • 不得只凭文件名或相近坐标复用。

原片接管执行

导演方案明确安排原片接管时:

  • 严格使用登记的替换范围和原片坐标,不自行增加、缩短或移动;
  • 原片期间不得残留解说,只保留方案要求的同步电影原声与字幕;
  • 重算后续完整时间轴,避免字幕、旁白或画面继续沿用替换前的绝对时间;
  • 检查原片原声与解说混音的响度差异、进出接缝和字幕重叠;
  • 技术验收只确认执行正确,不判断是否应该增加更多原片。

职责边界

  • 不修改镜头、顺序、节奏、字幕文字或混音意图。
  • 不把技术通过包装成创意通过。
  • 不让完整验收延迟用户看到可播放样片。
  • 不自动触发下一轮编导、渲染或审核。

© straighttttt, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in .codex/skills/movie-render-qa of straighttttt/movie-commentary-workflow.

  • SKILL.md
  • agents/openai.yaml
  • references/qa-checklist.md
  • references/render-contract.md

Open the folder on GitHubat commit 3d50c17

Compare with similar skills

Movie Render QA next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Movie Render QA compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Movie Render QA this skillstraighttttt/movie-commentary-workflow135—~326Automated safety check: PassApache-2.0
Render Blockingthedaviddias/Front-End-Checklist74k—~430Automated safety check: PassMIT
RenderLeoYeAI/openclaw-master-skills2.2k—~4.8kAutomated safety check: PassMIT
Markdown Renderingsickn33/agentic-awesome-skills47k1 repos~751Automated safety check: PassMIT
RenderAnil-matcha/awesome-muse-connectors1.3k—~433Automated safety check: PassMIT
Web Renderer Testremotion-dev/remotion63k—~547Automated safety check: PassCustom licence

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Questions about Movie Render QA

What does Movie Render QA do?

忠实执行已锁定的电影解说样片或正式导演方案,完成截取、拼接、字幕、混音、增量渲染和技术验收。用于快速生成可供用户判断的样片,或对用户认可后的正式成片执行完整技术检查;不得替编导改变镜头和节奏。. Movie Render QA is an agent skill from straighttttt/movie-commentary-workflow.

How do I install Movie Render QA in Claude Code?

Run `npx skills add straighttttt/movie-commentary-workflow --skill movie-render-qa -a claude-code`. Or copy the skill folder (.codex/skills/movie-render-qa in straighttttt/movie-commentary-workflow) into .claude/skills/movie-render-qa in your project. Claude Code loads it when a task matches its description.

How do I install Movie Render QA in Codex?

Run `npx skills add straighttttt/movie-commentary-workflow --skill movie-render-qa -a codex`. Or copy the skill folder (.codex/skills/movie-render-qa in straighttttt/movie-commentary-workflow) into .agents/skills/movie-render-qa in your project. Codex loads it when a task matches its description.

Can I use Movie Render QA in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add straighttttt/movie-commentary-workflow --skill movie-render-qa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/movie-render-qa, .gemini/skills/movie-render-qa, .github/skills/movie-render-qa and .opencode/skills/movie-render-qa in your project.

What does Movie Render QA need to run?

SKILL.md names no scripts, command-line tools or credentials: Movie Render QA is instructions for the agent only.

Does Movie Render QA access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Movie Render QA safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Movie Render QA use?

Movie Render QA is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Movie Render QA use?

About 326 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 685 tokens, read only when the agent opens those files.

What are the alternatives to Movie Render QA?

Skills that share tags, products or a category with Movie Render QA: Render Blocking (thedaviddias/Front-End-Checklist, 74k stars), Render (LeoYeAI/openclaw-master-skills, 2.2k stars), Markdown Rendering (sickn33/agentic-awesome-skills, 47k stars) and Render (Anil-matcha/awesome-muse-connectors, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Movie Render QA?

straighttttt (a GitHub user) maintains it in straighttttt/movie-commentary-workflow, which has 135 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 11, 2026.

Source: straighttttt/movie-commentary-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.