Videocut
aiskillstore/marketplace
口播基础素材包生成。转录口播、识别口误、生成审核页；用户确认后剪出新视频，Agent 再基于剪后视频重新转写、AI 校对字幕，输出后续口播成片可用的 sourcecut.mp4 和 subtitles.srt。触发词：剪口播、处理口播素材、准备口播素材、识别口误、基础素材包
口播视频转录和口误识别。生成审查稿和删除任务清单。触发词：剪口播、处理视频、识别口误. An agent skill from zrt-ai-lab/opencode-skills.
No licenceAuto-check passed
Install Videocut Clip Oral
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip-oral --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/videocut-clip-oral .claude/skills/videocut-clip-oral && rm -rf skills-srcUse ~/.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/
Install the "videocut-clip-oral" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip-oral into .claude/skills/videocut-clip-oral/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip-oral", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip-oralType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip-oral --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/videocut-clip-oral .agents/skills/videocut-clip-oral && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "videocut-clip-oral" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip-oral into .agents/skills/videocut-clip-oral/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip-oral", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip-oral --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/videocut-clip-oral .cursor/skills/videocut-clip-oral && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "videocut-clip-oral" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip-oral into .cursor/skills/videocut-clip-oral/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip-oral", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zrt-ai-lab/opencode-skills.git --path videocut-clip-oral--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip-oral --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/videocut-clip-oral .gemini/skills/videocut-clip-oral && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "videocut-clip-oral" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip-oral into .gemini/skills/videocut-clip-oral/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip-oral", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip-oralInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/videocut-clip-oral .github/skills/videocut-clip-oral && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "videocut-clip-oral" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip-oral into .github/skills/videocut-clip-oral/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip-oral", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip-oral --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/videocut-clip-oral .opencode/skills/videocut-clip-oral && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "videocut-clip-oral" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip-oral into .opencode/skills/videocut-clip-oral/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip-oral", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
videocut-clip-oral- GitHub stars
- 287
- Token cost
- ~424 tokens
- SKILL.md length
- 67 words
- Files
- 4
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- None found
At a glance
口播视频转录和口误识别。生成审查稿和删除任务清单。触发词：剪口播、处理视频、识别口误. An agent skill from zrt-ai-lab/opencode-skills.
- Works in 2 steps: ../README.md 的 Skill 清单 → /CLAUDE.md 路由表
- SKILL.md covers 快速使用, 流程, 进度 TodoList and 核心：时间戳驱动, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Videocut Clip Oral is an agent skill from zrt-ai-lab/opencode-skills. 口播视频转录和口误识别。生成审查稿和删除任务清单。触发词：剪口播、处理视频、识别口误
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `README.md`, `tips/口误识别方法论.md` and `tips/转录最佳实践.md`).
The repository describes itself as: OpenCode/Claude Code 技能库 。特色技能：视频生成、图片生成、AI Agent 互联、智能问数等等各场景，持续开发更新中.
Example prompts
- “/videocut-clip-oral”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- ../README.md 的 Skill 清单
- /CLAUDE.md 路由表
What it can do on your machine
Read from SKILL.md and the folder at commit d38536f. 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
Videocut Clip Oral loads about 424 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 67 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 67 words (~424 tokens).
“input: 视频文件 (*.mp4) output: 转录JSON、审查稿、删除任务TodoList pos: 转录+识别，到用户审核为止”
- name
- videocut-clip-oral
- metadata.version
- 1.0.0
- metadata.alias
- videocut:剪口播
Files
SKILL.md and 3 other files in videocut-clip-oral of zrt-ai-lab/opencode-skills.
- SKILL.md
- README.md
- tips/口误识别方法论.md
- tips/转录最佳实践.md
Open the folder on GitHubat commit d38536f
Compare with similar skills
Videocut Clip Oral 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Videocut Clip Oral this skillzrt-ai-lab/opencode-skills | 287 | — | ~424 | Automated safety check: Pass | None | |
| Videocutaiskillstore/marketplace | 433 | 1 repos | ~2.9k | Automated safety check: Notes | None | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Bio Clip Seq Clip AlignmentGPTomics/bioSkills | 1.2k | 2 repos | ~5k | Automated safety check: Pass | MIT | |
| Bio Clip Seq Clip QcGPTomics/bioSkills | 1.2k | 2 repos | ~5.4k | Automated safety check: Pass | MIT | |
| Bio Clip Seq Clip PreprocessingGPTomics/bioSkills | 1.2k | 2 repos | ~4.8k | Automated safety check: Pass | MIT |
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Align preprocessed CLIP-seq reads (eCLIP, iCLIP, iCLIP2, PAR-CLIP) to genome with STAR or bowtie2 using crosslink-preserving parameters, choosing between unique-mapper-only and multi-mapper-aware…
Bio Clip Seq Clip Qc
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Comprehensive quality control for CLIP-seq libraries (eCLIP, iCLIP, iCLIP2, PAR-CLIP) covering library complexity (preseq), FRiP, IDR replicate reproducibility, read-distribution metagene, SMInput…
Bio Clip Seq Clip Preprocessing
GPTomics/bioSkills
Preprocess CLIP-seq reads (eCLIP, iCLIP, iCLIP2, iCLIP3, irCLIP, PAR-CLIP, FLASH) with protocol-specific UMI extraction, adapter trimming, length filtering, and post-alignment PCR-duplicate collapse.
Bio Clip Seq Differential Clip
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Questions about Videocut Clip Oral
What does Videocut Clip Oral do?
口播视频转录和口误识别。生成审查稿和删除任务清单。触发词：剪口播、处理视频、识别口误. An agent skill from zrt-ai-lab/opencode-skills. Videocut Clip Oral is an agent skill from zrt-ai-lab/opencode-skills.
How do I install Videocut Clip Oral in Claude Code?
Run `npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a claude-code`. Or copy the skill folder (videocut-clip-oral in zrt-ai-lab/opencode-skills) into .claude/skills/videocut-clip-oral in your project. Claude Code loads it when a task matches its description.
How do I install Videocut Clip Oral in Codex?
Run `npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a codex`. Or copy the skill folder (videocut-clip-oral in zrt-ai-lab/opencode-skills) into .agents/skills/videocut-clip-oral in your project. Codex loads it when a task matches its description.
Can I use Videocut Clip Oral 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 zrt-ai-lab/opencode-skills --skill videocut-clip-oral -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/videocut-clip-oral, .gemini/skills/videocut-clip-oral, .github/skills/videocut-clip-oral and .opencode/skills/videocut-clip-oral in your project.
What does Videocut Clip Oral need to run?
SKILL.md names no scripts, command-line tools or credentials: Videocut Clip Oral is instructions for the agent only.
Does Videocut Clip Oral 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 Videocut Clip Oral 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 Videocut Clip Oral use?
No licence was found for Videocut Clip Oral or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Videocut Clip Oral use?
About 424 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Videocut Clip Oral?
Skills that share tags, products or a category with Videocut Clip Oral: Videocut (aiskillstore/marketplace, 433 stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Bio Clip Seq Clip Alignment (GPTomics/bioSkills, 1.2k stars) and Bio Clip Seq Clip Qc (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Videocut Clip Oral?
zrt-ai-lab (a GitHub user) maintains it in zrt-ai-lab/opencode-skills, which has 287 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on July 22, 2026.
Source: zrt-ai-lab/opencode-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.