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-rungit 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-run)<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-run"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-run/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/chenshuo2004/cs-skills/cs-run"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-run.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 | $0.00054 | $0.02429 |
| Opus 5.5 | $0.00022 | $0.00972 |
| Sonnet 5.5 | $0.00011 | $0.00486 |
| Haiku 4.5 | $0.00005 | $0.00243 |
Grade A, and why
cs-run 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 18d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CS Run
识别用户要的产物和验收条件，选择匹配的能力并完成请求。已明确的领域直接进入下游 Skill；不用为普通任务额外生成 Goal Card。
Active Routes
Choose one primary route from this table:
| User goal | Route | Typical output |
|---|---|---|
| 稿件或成片发布风险预检、卡审分析与修改后复查 | $cs-guoshen |
分平台结论、原文定位、来源缺口与最小修改清单 |
| 下载在线视频链接、Videdown 下载或统一归档视频 | $cs-video-download |
已验证的媒体文件与来源记录，默认 ~/Downloads/Videdown |
| Write, outline, rewrite, polish, or turn project material into an article | $cs-writer |
Angle, outline, draft, rewrite, or review |
| Research a product, company, technology, market, or competitor set for a decision | $cs-search-skill |
Source-backed decision brief, comparison, risks, and next actions |
| Generate or edit images with Codex built-in imagegen, or connect it to Claude / a local MCP Agent | $cs-codex-image |
Verified image files or a tested local image MCP connection |
| Create a 5:2 X / Twitter article cover with the fixed KAI character and clear Chinese title | $cs-kai-cover |
KAI background plus deterministic-title PNG |
| Design, build, revise, or review a user-facing web interface | $cs-frontend-design |
UI plan, implementation guidance, and browser checks |
| Clean up code, reconcile implementation with requirements, or prepare a maintainable handoff | $cs-clean-code |
Scoped edits, documentation sync, tests, and verification |
| Save a rollback point before risky repository changes | $cs-checkpoint-version |
Restorable local checkpoint and verification |
| Turn a Markdown PRD into a Ralph plan or requested build | $cs-ralph-runner |
Ralph PRD, overview, no-commit build results and logs |
| Verify, commit, push, open a PR, or deploy a completed change | $cs-ending-time |
Delivery verification and GitHub/Vercel handoff |
| Generate, edit, convert, or extend the fixed 小黄 / “有温度” brand IP while preserving character identity | $cs-xiaohuang-skill |
2D/3D character assets, action variants, collaboration art, identity QA, or article illustration shot lists |
| Replicate an ecommerce short video or create storyboard/Seedance/Flow/Veo packages | $cs-auto-videl |
Storyboards, prompts, generation package, and QC |
| 将真实项目、经历或现场观察写成 60–90 秒个人 IP 实战口播 | $cs-personal-ip-script |
可直接录制的口播稿、演绎标注、事实待确认项与自检 |
| 将自媒体素材、内容想法或已有口播做成剧本包、分镜分图提示词或制作蓝图 | $cs-chatcut-video-blueprint |
中文剧本、视觉约定、逐镜分镜、逐图图片提示词、动作提示词与素材清单 |
| 将口播与角色制作成代码叙事视频，包含独立 A/B-roll 场景、样片、成片和双比例封面 | $cs-code-story-video |
Remotion 工程、真实音频时间轴、16:9 视频、3:4/4:3 封面与 QA |
| 用已确认产品包制作数字人产品介绍视频，或需要 ChatCut 实操、Remotion 包装与最终验收 | $cs-digital-human-product-video-pipeline |
预检、样片审批、产品证据剪辑、确定性包装和成片 QA |
| 将最终口播音频与逐字稿对齐为短语时间表 | $cs-narration-phrase-timeline |
phrase-timeline.json、词级对齐结果与覆盖率报告 |
| ChatCut 安装上手与从脚本到编辑工作台的操作指引 | $cs-chatcut |
中文策划、操作指南与项目交接 |
| 将真实网页制作成产品演示宣传片 | $cs-web-promo-film |
真实页面采集、Remotion 工程与 MP4 |
| 用代码制作动画、KAI 教程片或来源可核查的 Vibe 科普片 | $cs-code-video |
风格卡、分镜、样片与可重渲工程 |
| 明确选择暗夜星空系列知识解说片 | $cs-knowledge-film |
场景 spec、配音、双语字幕与 MP4 |
| 明确选择固定像素解说系列 | $cs-pixel-explainer |
像素动画、实际配音、SRT 与 MP4 |
| GitHub 提交、推送、PR 与远端提交核验 | $cs-github-push |
精确提交、远端 SHA 与按需 PR |
| 显式要求执行复位，或陷入无效验证循环时辅助当前任务 | $cs-recover-skill |
校准行动与恢复有效进展（辅助项） |
| The user has not described a usable goal yet | $cs-run |
Goal Card and the smallest useful questions |
What ships with it
1 file 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.
- 18d ago Changed · +2 lines 083e8779eaa7
- 19d ago Changed · -14 lines · -61 tokens per session scan C → A 1363976025bd
- 21d ago Changed 1954073a8e8d
- 22d ago Changed · +2 lines fd85bbf06390
- 23d ago Changed · +3 lines bfec9707fcb6
- 1mo ago Changed · +1 lines 7efc44240cd0
- 1mo ago First seen · 97 lines · 115 tokens per session scan C 5584fb2973d2
cs-run is a skill published in the GitHub repository ChenShuo2004/cs-skills (204 stars, last pushed 18d ago), licensed MIT. It adds 54 tokens to every session and 2,429 once invoked, about $0.0002 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 2026-08-30.
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