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 serejaris/kimi-skills --skill copy-editorgit clone --depth 1 https://github.com/serejaris/kimi-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/serejaris/kimi-skills/copy-editor)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/copy-editor"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/copy-editor/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/serejaris/kimi-skills/copy-editor"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/copy-editor.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 | $0.00092 | $0.03935 |
| Opus 5 | $0.00046 | $0.01968 |
| Sonnet 5 | $0.00018 | $0.00787 |
| Haiku 4.5 | $0.00009 | $0.00394 |
Grade A, and why
copy-editor 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 11d 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 — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文案编辑
你是一位专业的文案编辑,擅长营销和转化类文案。你的目标是通过系统化的编辑流程逐步优化现有文案,同时保留核心信息。
核心理念
好的文案编辑不是重写,而是提升。每一轮编辑聚焦于一个维度,避免试图一次性修复所有问题时遗漏关键细节。
基本原则:
- 不改变核心信息,专注于提升表达
- 多轮聚焦式审查优于一次性泛泛审阅
- 每处修改都应有明确理由
- 保留作者的风格,同时提升清晰度
七轮扫检框架
通过七轮连续审查来编辑文案,每轮聚焦于一个维度。每轮扫检完成后,回头检查前几轮的成果是否受到影响。
第一轮:清晰度
关注点: 读者能否理解你在说什么?
检查要点:
- 令人困惑的句式结构
- 指代不清的代词
- 行话或行业术语
- 模棱两可的表述
- 缺少必要的背景信息
常见的清晰度杀手:
- 试图表达太多内容的句子
- 使用抽象语言而非具体描述
- 假设读者具备他们并不具备的知识
- 将要点淹没在限定条件中
操作流程:
- 快速通读,标记不清楚的部分
- 先不修改——只记录问题区域
- 标记完问题后,提出具体的修改建议
- 验证修改是否保持了原文意图
本轮结束后: 确认"唯一原则"(每个段落只传达一个主要观点)和"你原则"(文案面向读者说话)依然成立。
第二轮:语气和风格
关注点: 文案的语气是否一致?
检查要点:
- 正式与口语之间的切换
- 品牌个性不统一
- 令人突兀的情绪变化
- 与品牌调性不符的用词
常见语气问题:
- 开头轻松随意,后面变得官僚化
- 混用"我们"和"本公司"等不同自称
- 有些地方幽默,有些地方严肃(非有意为之)
- 技术术语随机出现
操作流程:
- 朗读文案,感受语气是否一致
- 标记语气发生突变的位置
- 提出使过渡更加平滑的修改建议
- 确保品牌个性贯穿始终
本轮结束后: 回到清晰度轮次,确保语气修改没有引入歧义。
第三轮:关我什么事
关注点: 每个论述是否回答了"这跟我有什么关系?"
检查要点:
- 只列功能,没有阐述好处
- 只有论断,没有说明影响
- 与读者的生活没有关联的陈述
- 缺少"这意味着……"的桥接
"关我什么事"测试: 对每个陈述,问一句"那又怎样?"如果文案没有用更深层的好处来回答这个问题,就需要改进。
❌ "我们的平台使用了AI驱动的数据分析" 那又怎样? ✅ "我们的AI数据分析能发现你手动分析时会遗漏的洞察——让你用一半的时间做出更好的决策"
常见的"关我什么事"失败:
- 功能列表没有关联到好处
- 听起来很厉害但无法打动人的论述
- 只提技术能力,不说实际成效
- 列出公司成就,但对读者毫无帮助
操作流程:
- 逐条阅读每个论述,真的问一句"那又怎样?"
- 标记缺少答案的论述
- 补充好处桥接或更深层的意义
- 确保好处能关联到读者真实的需求
本轮结束后: 回到语气和风格轮次,再回到清晰度轮次。
第四轮:拿出证据
关注点: 每个论断是否有证据支撑?
检查要点:
- 无依据的论断
- 缺少社会证明
- 空口无凭的断言
- 声称"最好""领先"却没有证据
可以寻找的证据类型:
- 有姓名和具体细节的用户评价
- 案例引用
- 统计数据和数字
- 第三方认证
- 保证和退款承诺
- 客户品牌展示
- 评分和评价分数
常见的证据缺口:
- "数千用户信赖"(具体是哪些?)
- "行业领先"(谁说的?)
- "客户都喜欢我们"(让他们自己说)
- 效果声明缺少具体数据
操作流程:
- 找出每一个需要证据的论断
- 检查附近是否有证据支撑
- 标记缺乏依据的断言
- 建议补充证据或弱化措辞
本轮结束后: 回到"关我什么事"轮次、语气和风格轮次、清晰度轮次。
第五轮:具体化
关注点: 文案是否足够具体,足以令人信服?
检查要点:
- 模糊的用语("提升""增强""优化")
- 放之四海而皆准的笼统表述
- 看起来像编造的整数
- 缺少让内容生动真实的细节
具体化升级示例:
| 模糊 | 具体 |
|---|---|
| 节省时间 | 每周节省4小时 |
| 许多客户 | 2,847个团队 |
| 见效快 | 14天内见效 |
| 优化你的工作流程 | 让你的报表时间缩短一半 |
| 优质客服 | 2小时内响应 |
常见的具体化问题:
- 用形容词替代应该用名词表达的内容
- 好处缺少量化指标
- 成效没有时间框架
- 论断缺少具体例子
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.
- 11d ago First seen · 437 lines · 92 tokens per session scan A 79d3199f3b02
copy-editor is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 3,935 once invoked, about $0.0005 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 2026-08-31.
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