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 Zhangs-11/zs-skills --skill kakarot-human-writinggit clone --depth 1 https://github.com/Zhangs-11/zs-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/zhangs-11/zs-skills/kakarot-human-writing)<a href="https://agentmods.dev/skills/zhangs-11/zs-skills/kakarot-human-writing"><img src="https://agentmods.dev/badge/skills/zhangs-11/zs-skills/kakarot-human-writing/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/zhangs-11/zs-skills/kakarot-human-writing"><img src="https://agentmods.dev/badge/skills/zhangs-11/zs-skills/kakarot-human-writing.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 | $0.00275 | $0.03851 |
| Opus 5 | $0.00138 | $0.01925 |
| Sonnet 5 | $0.00055 | $0.00770 |
| Haiku 4.5 | $0.00028 | $0.00385 |
Grade A, and why
human-writing 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 12d 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.
This is a copy
86% identical to human-writing — 51 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
活人感写作 1.0.0
默认把文章写成一篇值得读完的中文长帖。读者应当感觉对面有一个具体的人。这个人知道一些事,也有不知道的地方。他愿意讲细节,敢下判断,偶尔岔开一句,随后还能把话接回来。
不要把“活人感”理解成口头禅、粗口、错别字和网络梗。它首先来自材料,其次来自说话位置,最后才是语气。
作为通用正文引擎
本 Skill 可以独立完成一篇作品,也可以被更具体的个人、品牌或文体 Skill 调度。
被上游 Skill 调度时:
- 接收上游已经确认的作者位置、真实材料、核心判断、读者和交付边界。
- 负责正文的材料密度、事实边界、自然中文和段落推进。
- 不擅自创建个人画像、标题、封面、CTA、发布说明和内部质检报告,除非上游明确要求。
- 上游可以覆盖冒号、破折号、对比句、段落长度等表层风格禁令。
- 用户亲历、事实、来源、现实与虚构边界不能被任何上游文风规则覆盖。
第一关先看作品靠什么站住
这一步先于提纲和动笔。用户要求的字数不能跳过它。
现实作品靠前两类材料,虚构作品靠第三类材料。混合创作先把两部分分开。
- 用户明确提供的经历、事实、数字、动作、原话与判断。
- 已经查到并能核验的案例、数据、产品流程、人物经历与时代条件。
- 虚构任务中,作者获准创造的事件、人物动作与场景变化。
现实稿里,模型临时想出的“比如有个人”、没有来源的典型场景、常识推演、抽象观点的后果、比喻与同义改写,都不能拿来撑篇幅。把“记录方便”“声音保留状态”“检索找回旧内容”各解释五遍,手里仍然只有三条材料。
虚构稿可以创造人物、现场和细节,不需要为它们寻找现实出处。每个主要段落或场景仍要有动作、选择、关系变化、信息变化或后果。只换景色和说法,没有事情发生,也不能拿来撑篇幅。
非虚构作品计划达到一千二百字时,先在内部逐条写出至少五件具体材料,并注明它来自用户哪句话或哪份可靠来源。只写一个概括性的类别不算。五件材料还要能组成一条实际过程,不能是五句相邻的道理。
非虚构稿列不出五件,就先别写长稿。这一轮不能输出标题和长文正文。目标字数、用户催促和“直接写”都不能把材料变多。
现实材料不够时,只能选择一种处理。
- 事实型题目有公开材料可查时,先研究,研究后重新计数。可用检索工具却没有检索,仍然算没有材料。
- 个人体验或私人判断需要用户材料,一次问完最多三个问题,此时不要同时交稿。
- 用户明确不许追问时,缩小题目,最多交一篇六百字左右的短答。宁可明显短于目标字数,也不能用假例子和重复解释填满。
现实稿动笔前记清每件重要材料从哪里来。说不出来路的内容不能负责托住事实段落。虚构稿改为检查每个场景由哪个人物目标、动作或变化托住,不给虚构细节伪造来源。不要把这些内部检查交给用户。
现实观点稿有一种高频错误要直接拦住。用户只给“输入更方便”“声音能保留状态”“AI 可以找回旧内容”这类三条抽象想法,又要求一千多字,这仍然只有三条材料。不能分别补上用途、意义、风险和未来,再写成十几段。应当先找真实产品、使用过程、研究或用户经历。找不到就问,用户不让问就写短答。
按任务读取
- 新写或大幅重写知乎回答、论坛长帖、公众号文章、博客、评论、人物稿和行业稿,读取
references/forum-prose.md。 - 真人、历史、新闻、产品、数据、评测、教程、商业信息和用户亲历,另读
references/reality.md。 - 小说、故事、虚构散文、对白和剧本,改读
references/fiction.md。用户要求帖子体小说或第一人称故事时,再同时读取references/forum-prose.md。 - 短内容、个人叙事、教程、评测、口播、演讲、剧本、对白和诗歌等形式需要特殊处理时,读取
references/formats.md。 - 初稿完成后再读取
references/revision.md。不要在动笔前加载详细审稿规则。
不要为了保险一次加载全部参考文件,只读当前任务确实命中的部分。真正的混合任务可以读取多个文件,references/revision.md 仍留到初稿以后。创作时以正向目标为主,已经写在本文件里的交付禁令留到初稿完成后再逐项检查。
多条规则同时出现时
按下面的顺序处理。
- 当前用户明确指定的文体、现实或虚构性质、语气和交付形式。
- 作品对现实作出的承诺。现实内容服从事实边界,虚构内容服从人物、因果与世界规则。
- 同时生效的更具体个人、品牌或文体 Skill 对表层风格和交付形式的规定。
references/fiction.md、references/reality.md和references/formats.md中与当前任务直接相关的规则。references/forum-prose.md与本文件里的默认散文写法。references/revision.md的改稿规则与检查脚本的提醒。
What ships with it
10 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.
- 12d ago First seen · 174 lines · 275 tokens per session scan A e59e22c58a7a
human-writing is a skill published in the GitHub repository Zhangs-11/zs-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 275 tokens to every session and 3,851 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to human-writing, differing in 51 lines, and is treated as a copy.
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