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 ChenShuo2004/cs-skills --skill cs-chatcutgit clone --depth 1 https://github.com/ChenShuo2004/cs-skillsWrote 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/chenshuo2004/cs-skills/cs-chatcut)<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-chatcut"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-chatcut.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00146 | $0.05655 |
| Opus 5 | $0.00073 | $0.02828 |
| Sonnet 5 | $0.00029 | $0.01131 |
| Haiku 4.5 | $0.00015 | $0.00566 |
Grade A, and why
cs-chatcut 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 9d 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatCut 视频策划与操作指南
目标与边界
把零散的内容、观点和视频想法收敛成一条有明确受众、观点、证据和行动目标的短视频，再整理为可执行的制作蓝图，帮助用户准备素材并在 ChatCut 中完成组装。
操作指南资源
当用户需要安装 ChatCut Agent、了解从确认脚本到导出成片的操作流程，或排查首次使用的常见步骤时，查阅 references/zero-to-one-guide.html。该指南说明策划与 ChatCut 编辑工作台的交接；实际项目创建、素材导入、时间线编辑和导出仍交由对应的 ChatCut 编辑工作流执行。
严格保持策划边界：
- 不创建、选择或修改 ChatCut 项目。
- 不上传、导入、导出、渲染或把素材放入时间线。
- 不编写 Motion Graphics JSX，不调用 ChatCut MCP 工具。
- 不设计数字人的外貌、服装、头像或表演方式。数字人只通过口播稿和表达标注得到支持。
- 如果用户要求直接操作 ChatCut，说明本 Skill 只负责制作蓝图，并将后续操作交给对应的 ChatCut 编辑工作流。
准确使用 ChatCut 术语：把动画视觉层称为 Motion Graphics，区分透明叠加和全屏不透明画面，并让时间安排对应最终口播结构。
内容与想法阶段
当用户只有一个模糊想法、一段素材或一批选题时，先做内容决策，不要立刻生成分镜或要求完整 brief。
输入与收敛规则
- 单个想法：找出它服务的受众、真实张力、可支撑的事实和最小可拍形式。
- 一批想法：合并重复项，保留 3～5 个候选；按受众相关性、观点张力、事实/素材支撑、制作可行性各评 1～5 分，并说明分数依据与待确认项。
- 用户未给受众、平台或目标时，先根据素材做一个低风险假设并标记；只在该信息会改变选题判断时提问。
- 优先选择“有明确对象、有真实证据、一个视频能讲清、能自然导向下一步”的主题；不要为了凑数量延展成空泛选题。
内容决策交付
在尚未锁定主题时，按以下顺序输出并默认暂停等待确认：
- 推荐主题：一句话核心观点、目标受众和为什么此刻值得讲。
- 候选排序：候选主题、四项评分、可用证据和主要风险。
- 内容切口：推荐的 Hook 方向、承诺给观众的结果，以及不应该承诺什么。
- 最小制作建议：推荐平台、时长、出镜/录屏/素材形式和需要补齐的最小信息。
- 下一步：用户确认一个主题后再进入口播稿阶段。
文章、公众号、长文提纲或非视频内容改写使用 $cs-writer；需要查证产品、市场、竞品或外部数据时使用 $cs-search-skill。本 Skill 可以接收这些产物作为视频原始内容，但不替代它们。
语言规则
- 除非用户明确指定其他语言，所有面向用户的提问、说明、表格和交付内容都使用简体中文。
- 保留产品和技术的标准名称，例如 ChatCut、Motion Graphics、BGM、SFX、A-roll、B-roll、CTA、JSX、MCP。
- 用户提供英文素材时，可以保留必要的英文原文，但解释、结构和制作建议仍使用中文。
- 不要因为
agents/openai.yaml或路由元数据使用英文技术字段，就把最终交付改成英文。
输入 brief 门槛
把输入分成“内容与想法阶段”“口播稿阶段”和“完整蓝图阶段”。已锁定主题后，不要因为画幅比例、视觉风格或品牌素材还没有确定，就阻塞口播稿生成。
口播稿阶段的必需信息
| 字段 | 必须明确的内容 |
|---|---|
| 主题与目标 | 视频讲什么，以及观众看完后要理解什么或做什么 |
| 原始内容 | 原稿、笔记、逐字稿、产品事实、案例、参考链接或其他可用资料 |
| 发布平台 | 例如抖音、TikTok、Shorts、Instagram Reels 或其他平台 |
| 成片时长 | 例如 30 秒、60 秒或 90 秒 |
| 目标受众与痛点 | 谁在看、他们处于什么场景、现在遇到什么问题 |
| 核心观点/观众承诺 | 这条视频最终只让观众记住什么，或得到什么结果 |
| 说话人身份与立场 | 谁在说、凭什么说、希望保持什么个人判断或经验感 |
| 语气与节奏 | 例如平静、直接、教程感、紧迫、自然或高能 |
| CTA | 观众下一步要做什么；没有 CTA 时明确写“无 CTA” |
What ships with it
2 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.
- 9d ago First seen · 302 lines · 146 tokens per session scan A 1302521c7045
cs-chatcut is a skill published in the GitHub repository ChenShuo2004/cs-skills (141 stars, last pushed 5d ago), licensed MIT. It adds 146 tokens to every session and 5,655 once invoked, about $0.0007 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 2026-08-30.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.