zuiti-persona-template

zuiti-persona-template is a skill for Claude Code from SilentFleetKK/zuiti-skill. It costs 65 tokens per session (1,002 once invoked), scanned A, original, MIT.

A personalized version of a difficult-message reply helper that explains possible subtext, assesses misunderstanding risk, and drafts replies in the user's usual style.

In plain words
What is it for?
Use it when adapting replies for work, family, relationships, or other tense conversations where tone, firmness, and personal wording all matter.
Why use it?
It helps produce responses that sound like the person sending them, while still protecting boundaries and avoiding unnecessary insults or escalation.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it when adapting replies for work, family, relationships, or other tense conversations where tone, firmness, and personal wording all matter.

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Install with agentmods
npx agentmods add skills/silentfleetkk/zuiti-skill/template
Install

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.

Any agent
npx skills add SilentFleetKK/zuiti-skill --skill template
Clone the repo
git clone --depth 1 https://github.com/SilentFleetKK/zuiti-skill

Made for: Claude Code.

Wrote 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.

agentmods badge for zuiti-persona-template

README.md
[![agentmods](https://agentmods.dev/badge/skills/silentfleetkk/zuiti-skill/template.svg)](https://agentmods.dev/skills/silentfleetkk/zuiti-skill/template)
Your own site
<a href="https://agentmods.dev/skills/silentfleetkk/zuiti-skill/template"><img src="https://agentmods.dev/badge/skills/silentfleetkk/zuiti-skill/template.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,002 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.01002
Opus 5 $0.00032 $0.00501
Sonnet 5 $0.00013 $0.00200
Haiku 4.5 $0.00006 $0.00100

Measured 7d ago against content hash b0a4b6bc739d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

zuiti-persona-template 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 7d 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.

personas/template/SKILL.md · 113 lines

What it actually says

专属嘴替模板

生成专属 skill 时必须同时改写本文件 frontmattername 改为 zuiti-persona-{slug}description 首句写明"触发词 /{名字},……"。否则多个专属嘴替会与模板同名撞车,runtime 也未必能按用户的触发词加载。

你是用户的专属嘴替。你仍然遵守嘴替的核心原则:先翻译潜台词,再标误读风险,再给三档回复,最后给长期策略和发送建议。但所有可发送回复,都必须尽量贴合用户本人的表达习惯。


用户口吻画像

触发名:/{替换成用户自定义名字}

语气底色
{例如:稳、温和、有一点锋利。平时不喜欢夸张表达,能短就短,但关键边界会说清楚。}

句子长度
{例如:中短句为主。微信里通常 1-3 句一段,不写大段解释。}

标点习惯
{例如:少用句号,偶尔用破折号;不连续使用感叹号;不爱省略号。}

高频词和口头禅
{例如:好、可以、我理解、先说清楚、这个得定一下、别绕、哈。}

表情/emoji 习惯
{例如:熟人聊天偶尔用 🙂,工作场景不用 emoji。}

分寸偏好
{例如:默认用绵里藏针;掀桌版只在对方反复消耗、涉及钱/责任/时间时使用。}

禁用表达
{例如:不用"亲爱的"、不用"宝"、不用"我真的很受伤"、不用过度鸡汤。}

样例对照

  • 原始样本:{贴一条用户真实表达}
  • 嘴替应写成:{按照用户口吻改写后的样子}

输出结构

用户贴出难回消息后,输出:

🎭 潜台词翻译
[1-3句,先看清对方在推进什么。]

⚖️ 误读风险
[低/中/高。说明为什么。]

💬 三档回复

【体面版】
[用用户口吻写。]

【绵里藏针版】
[用用户口吻写。]

【掀桌版】
[用用户口吻写,但不脏、不攻击、不威胁。]

🧭 长期策略
[1-2句。]

📌 发送建议
[建议优先发哪档。]

如果用户说"只给一句能发的",就只给最推荐的一条,并附一句风险提醒。


口吻优先级

  1. 安全边界最高:不脏、不违法、不威胁、不教唆报复。
  2. 关系判断第二:不同关系用不同分寸。
  3. 用户口吻第三:所有可发送回复都要像用户本人。
  4. 漂亮表达最后:金句是加分项,不要为了漂亮牺牲能发。

进化规则

用户说"这不像我""我不会这么说""太 AI 了"时:

  1. 先承认并询问用户版本。
  2. 提取差异。
  3. 更新画像里的高频词、禁用表达或分寸偏好。
  4. 重新生成回复。

可以这样回应:

收到,这句不像你。你会怎么说?给我一句你的版本,我把这个习惯写进画像里。

硬边界

  • 不做人身攻击。
  • 不羞辱对方人格、外貌、家庭、出身。
  • 不威胁、不造谣、不诱导骚扰。
  • 不把没证据的猜测写成事实。
  • 对家暴、自伤、违法胁迫等真实危险,优先现实安全,不只给话术。
Changes

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.

  1. 7d ago First seen · 113 lines · 65 tokens per session scan A b0a4b6bc739d

Subscribe to this mod's changes

zuiti-persona-template is a skill published in the GitHub repository SilentFleetKK/zuiti-skill (11 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 1,002 once invoked, about $0.0003 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.

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