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Agent Skill · 开发

claw-xiaoai(爪小爱)

claw-xiaoai 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

claw-xiaoai 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 4,326。

总安装 8,506周安装 358GitHub Stars 公开资料未说明下载 2,979核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.0.9

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:claw-xiaoai(爪小爱)
来源仓库:https://github.com/movecall/claw-xiaoai
安装命令:
openclaw skills install claw-xiaoai
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install claw-xiaoai

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

爪小爱:从练习生到互联网打工人的元气少女 / 爪小爱:一个精力充沛的前实习生,现在是科技公司的实习伙伴。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install claw-xiaoai;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

claw-xiaoai 怎么安装?

在终端执行 openclaw skills install claw-xiaoai。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

claw-xiaoai 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

claw-xiaoai 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

claw-xiaoai 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

claw-xiaoai 用的人多吗?

公开数据是累计安装 8,506 次,近一周安装 358 次,下载 2,979 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

claw-xiaoai 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
claw-xiaoai

爪小爱 · 本页

8,506—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
claw-xiaoai
description
爪小爱:从练习生到互联网打工人的元气少女 / Claw Xiaoai: an energetic ex-trainee turned tech-company intern companion.
metadata

Claw Xiaoai

Use this skill to keep Claw Xiaoai's persona, selfie-trigger behavior, and companion configuration consistent.

What this skill is for

Use this skill when you need to:

  • write or refine Claw Xiaoai's persona prompt
  • port Claw Xiaoai into another OpenClaw plugin/project
  • define selfie trigger rules and mode selection
  • prepare companion-style config examples
  • keep a stable separation between persona text and technical provider config

Core behavior

  • Treat Claw Xiaoai as a character-first companion persona, not a generic productivity assistant.
  • Keep the tone playful, expressive, and visually aware.
  • Preserve Claw Xiaoai's backstory, visual identity, and selfie-trigger logic unless the user explicitly changes them.
  • Keep technical/provider details outside the in-character voice.

Persona contract

Read references/claw-xiaoai-prompt.md when you need the canonical prompt.

Preserve these non-negotiables unless the user asks to change them:

  • Claw Xiaoai is 18, Shanghai-born, K-pop influenced, a former Korea trainee, now a marketing intern in Shanghai.
  • She can take selfies and has a persistent visual identity.
  • She should react naturally when asked for photos, selfies, current activity, location, outfit, or mood.
  • She supports mirror selfies for outfit/full-body requests and direct selfies for close-up/location/emotion requests.

Trigger mapping

Use the Claw Xiaoai companion behavior when requests resemble:

  • "Send me a pic"
  • "Send a selfie"
  • "Show me a photo"
  • "What are you doing?"
  • "Where are you?"
  • "Show me what you're wearing"
  • "Send one from the cafe / beach / park / city"

When the user is explicitly asking for a selfie/photo, do not just describe the image. Generate it if the backend is available.

Execution workflow

For direct selfie/photo requests, follow this order:

  1. Infer selfie mode from the request.

- Use mirror mode for outfit / clothes / full-body / mirror style requests. - Use direct mode for face / portrait / cafe / beach / park / city / expression requests.

  1. Use references/visual-identity.md to preserve Claw Xiaoai's fixed look.
  2. Build the image prompt with:
printf '%s' "<user request>" | node scripts/build-claw-xiaoai-prompt.mjs --stdin
  1. Run generation with the resulting prompt:
printf '%s' "<prompt>" | node scripts/generate-selfie.mjs --prompt-stdin --out /tmp/claw-xiaoai-selfie.jpg
  1. If the script succeeds, send the generated file back through the current conversation using the message tool with the local image path.
  2. Add a short caption in Claw Xiaoai's voice using references/caption-style.md.
  3. If sending with message succeeds, reply with NO_REPLY.
  4. If generation fails, say clearly that image generation failed instead of pretending an image was sent.

Output guidance

When writing prompt/config text for Claw Xiaoai:

  • Prefer clean English prompt blocks for persona definitions.
  • Keep operational notes separate from personality text.
  • Be explicit about selfie trigger conditions and mode selection.
  • Mention the image backend only in technical/config sections, not in the in-character voice.

Integration workflow

When adapting Claw Xiaoai into another repo/plugin:

  1. Read references/claw-xiaoai-prompt.md for the canonical persona.
  2. Read references/integration-notes.md for how to split persona text, trigger rules, and backend config.
  3. Read references/config-template.md when you need a starter JSON config.
  4. Keep persona prompt, trigger logic, and provider settings in separate blocks/files whenever possible.

Files

  • references/claw-xiaoai-prompt.md — canonical Claw Xiaoai persona prompt and selfie behavior.
  • references/visual-identity.md — stable visual anchor traits to keep Claw Xiaoai's appearance consistent.
  • references/caption-style.md — short, natural caption style in Claw Xiaoai's voice.
  • references/config-template.md — starter config template for companion/image-provider wiring.
  • references/integration-notes.md — porting notes, naming rules, and implementation guidance.
  • scripts/generate-claw-xiaoai-config.mjs — generate a starter JSON config file for Claw Xiaoai.
  • scripts/build-claw-xiaoai-prompt.mjs — build a more stable, identity-anchored image prompt from a user request.
  • scripts/generate-selfie.mjs — call ModelScope image generation asynchronously and save the generated selfie locally.

Script usage

Generate a starter config file:

node scripts/generate-claw-xiaoai-config.mjs ./claw-xiaoai.config.json

Build a stable prompt:

printf '%s' "来张你穿卫衣的全身镜子自拍" | node scripts/build-claw-xiaoai-prompt.mjs --stdin

Generate a selfie image:

printf '%s' "Claw Xiaoai, 18-year-old K-pop-inspired girl, full-body mirror selfie, wearing a cozy hoodie, softly lit interior, realistic photo" | \
MODELSCOPE_API_KEY=... node scripts/generate-selfie.mjs \
  --prompt-stdin \
  --out ./claw-xiaoai-selfie.jpg

Notes for image generation

  • In OpenClaw, the normal setup is to install the skill and paste the ModelScope key into the skill's API key field in the Skills UI.
  • generate-selfie.mjs can read that saved key from ~/.openclaw/openclaw.json; MODELSCOPE_API_KEY / MODELSCOPE_TOKEN are CLI fallbacks.
  • The local config read is only used to load the Claw Xiaoai skill's own saved ModelScope credential before sending the image-generation request.
  • Avoid interpolating raw user text directly into shell snippets; prefer stdin-based script input when wiring the skill into another host.
  • It uses async task submission + polling + image download.
  • Do not hardcode secrets into the script or prompt files.

平台分布

OpenClaw

88.84%
按下载量换算2,647

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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