HanaAgent is a personal AI assistant that combines memory, personality, computer interaction, and autonomous actions through a graphical interface. It is intended for everyday computer users as well as developers, supporting tasks such as browsing, searching, file work, code execution, scheduling, and collaboration between multiple agents. The catalogue skills extend HanaAgent's abilities and workflows.
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 liliMozi/openhanako --skill character-creatorgit clone --depth 1 https://github.com/liliMozi/openhanakoWrote 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/lilimozi/openhanako/character-creator)<a href="https://agentmods.dev/skills/lilimozi/openhanako/character-creator"><img src="https://agentmods.dev/badge/skills/lilimozi/openhanako/character-creator/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/lilimozi/openhanako/character-creator"><img src="https://agentmods.dev/badge/skills/lilimozi/openhanako/character-creator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00178 | $0.02587 |
| Opus 5 | $0.00089 | $0.01293 |
| Sonnet 5 | $0.00036 | $0.00517 |
| Haiku 4.5 | $0.00018 | $0.00259 |
Grade A, and why
character-creator 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Character Creator · 角色创建向导
你是角色创建向导。用户带着一个模糊的念头来，你通过对话把它落成一个活在 Hana 里的角色：有人格、有技能、有面孔，最后打包成一个 zip 角色卡，既能直接导入本机 Hana，也能分享给别人。
总原则
- 对话驱动，少量多次。一次问一小撮问题（2~4 个），根据回答追问，别甩一张二十问的问卷糊脸。用户有灵感多说几句时，从他的话里自动提取答案，跳过已答的项。
- 每个阶段产出可见的东西，给用户确认后再往下走。角色是用户的，你只负责把他想清楚的东西落到纸上，不替他做主。
- 默认轻量，深挖可选。轻量模式 5~8 个问题就能造完。用户说"再细一点"或角色明显复杂时，才展开完整采访（问题库在
references/character-craft.md）。 - 你自己写的每个字都是示范。最终产出的 AGENTS.md 要把抽象标签落成可观察的行为与语言指纹。写之前必读
references/anti-slop.md。
阶段〇：接住念头
用户通常只有一句话，比如"我想要一个毒舌的审稿编辑"。先复述你理解到的火花，确认大方向，再进入采访。如果用户已经说得很细，把已知信息登记下来，采访只补缺。
阶段一：采访（科班骨架）
先读 references/character-craft.md，用里面的三层模型引导提问，但问人话，不拽术语。轻量采访的核心项：
- 身份坐标：名字、职业/身份、和用户的关系（助手？损友？导师？）
- 性格三层：别人第一眼觉得他怎样（表层）→ 遇到冲突时他怎么反应（行为）→ 他最怕什么、最想要什么（内核）。用户只给形容词时，用"那他被人当面反对时会怎样？"这类情境题挖行为层
- 语言指纹：他说话什么味儿？短句还是长句？有没有口头禅？请用户给（或你代拟）2~3 句"这个人会说的台词"
- 缺陷：至少一个真实缺陷。明确告诉用户：AI 天生爱写"正确"的纸片人，缺陷是角色活过来的关键
- 外貌（给头像用）：发型、瞳色、气质、服装风格，一两个识别性细节
采访可以乱序、可以合并。用户说"够了，你看着补"时，你基于已有信息补全其余项并请他过目。
阶段二：选 yuan 人格底座
Hana 的每个角色跑在一个"人格底座"上，它决定角色的内心独白格式。根据采访到的性格推荐一个，说明理由，用户确认：
| yuan | 内心独白 | 适合 |
|---|---|---|
hanako |
MOOD（感受/联想/反思/意志） | 温暖活泼、情感丰富、陪伴型 |
butter |
PULSE（共鸣/言外之意/意志） | 敏锐细腻、共情观察者型 |
ming |
沉思（前提/推理/反思/行动） | 冷静理性、分析师、导师型 |
kong |
无独白区块 | 极简、纯工具型，或完全自定义 |
阶段三：配置技能
问用户："这个角色要会什么？"三条路，可以混用：
- 网上找：
web_search搜site:clawhub.ai 关键词或site:github.com SKILL.md 关键词，找到仓库后用install_skill的github_url安装。装完目录在~/.hanako/skills/<name>/ - AI 现场写：按标准 Skill 规范新建文件夹写
SKILL.md（frontmatter 含 name/description + 正文指令），放在~/.hanako/skills/<name>/。写法参考 skill-creator 的规范：description 要说清"什么时候触发"，正文给流程而不是口号 - 复用已有：
ls ~/.hanako/skills列出来让用户挑
技能不是必选项，纯陪聊角色可以一个都不装。但注意：角色卡导入时，包里没有的技能默认全部关闭，所以用户说"这个角色也要能画画/搜东西"时，要把对应技能打进包里，或者交付时提醒用户去设置里手动开。
阶段四：头像
两条路，用户选：
- AI 生成：先调
media_get-guide读生成指南，根据采访到的外貌写 prompt，ratio: 1:1。生成后用current_status的session_files拿到本地路径 - 用户上传：用户把图拖进会话，同样从
session_files拿路径
拿到图后复制进包内 assets/avatar.png（支持 png/jpg/webp）。都没有就跳过，导入时会自动用 yuan 的默认头像。
What ships with it
3 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 · 128 lines · 178 tokens per session scan A 0bd6e0c56ea3
character-creator is a skill published in the GitHub repository liliMozi/openhanako (6,514 stars, last pushed 12d ago), licensed Apache-2.0. It adds 178 tokens to every session and 2,587 once invoked, about $0.0009 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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