Agent Skill
News Rough Cut skill
news-rough-cut0xsline/OpenChatCutsrc/agent/skills/news-rough-cut/SKILL.md
新闻素材智能粗剪——把新闻素材粗剪为一条内容完整、逻辑清晰、节奏紧凑的新闻短视频。Use when the user asks to 粗剪新闻、新闻剪辑、把新闻素材剪成短视频、智能粗剪、news rough cut、编辑新闻视频, or provides news footage (发布会/采访/现场/监控素材) to be cut into a factual news short. Never add music, voiceover, or sound effects.
always on
108 tokname + description
once used
1,756 tokSKILL.md body
bundled files
15 KB
repo stars
2.6kGitHub
Install the News Rough Cut skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/0xsline/OpenChatCut --skill news-rough-cut
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/0xsline/OpenChatCut.git /tmp/OpenChatCut mkdir -p ~/.claude/skills cp -R /tmp/OpenChatCut/src/agent/skills/news-rough-cut ~/.claude/skills/news-rough-cut
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 108 tok |
| When the agent uses it | The SKILL.md instructions | 1,756 tok |
| Only if opened | 1 bundled files (5 KB) | varies |
Until it is used, news-rough-cut costs about 13× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 31 skills from 0xsline/OpenChatCut would load 2,031 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- News Rough Cut（新闻智能粗剪）
- 工作流总览
- 话题分析与时长确定
- 内容组织逻辑
- 内容保留规则
- 内容删除规则
- 人物讲话剪辑规则
- 事实与逻辑要求
- 音频要求
- 整体风格
- OpenChatCut 工具对应
- 参考文件
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