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在 OpenClaw 中安装
/install warm-talk
功能描述
聊天助理技能。当用户不知道怎么回复女生、不知道怎么说开场白、想知道女生某句话什么意思、聊天卡壳了、不知道怎么约女生出来时触发。功能:分析女生回复的情绪和意图,给出3-5个幽默风趣又有梗的回复选项,附带分析思路和踩雷提示。关键词:怎么回复、怎么回、她说什么意思、不知道怎么聊、聊天卡壳、怎么约她出来、怎么开场白、聊天...
安全使用建议
This skill appears internally consistent and low risk: it asks for no secrets and the code works locally on input text. Before installing, consider: 1) run the scripts in a sandbox (or inspect them yourself) — package.json references a missing index.js and a mismatched version, which suggests minor packaging sloppiness; 2) test with non-sensitive, non-identifying example messages (the skill is designed to craft interpersonal replies and may produce manipulative suggestions you might not want to use blindly); 3) confirm there are no network calls in any future updates (this version has none); and 4) if you plan to allow autonomous invocation, be aware the skill can be called without immediate human oversight — keep an eye on outputs and revoke if behavior is undesirable.
功能分析
Type: OpenClaw Skill
Name: warm-talk
Version: 0.1.1
The 'warm-talk' skill is a social interaction assistant designed to provide conversation starters and response suggestions. The included Node.js scripts (chat.js and chats.js) function as simple lookup tools that match user input against hardcoded dictionaries of phrases and advice. There is no evidence of network activity, file system access, data exfiltration, or malicious command execution. The instructions in SKILL.md are strictly aligned with the stated purpose of the utility.
能力评估
Purpose & Capability
Name/description (聊天助理 — produce replies, analyze intent, give options and warnings) match the included SKILL.md and the two scripts. The scripts implement phrase matching, reply generation, and canned opening/escalation lines which align with the stated purpose.
Instruction Scope
SKILL.md instructs only how to provide message-based reply suggestions and analysis; it does not ask the agent to read system files, environment variables, or send data to external endpoints. The code likewise reads only its command-line arguments and static in-file data and prints results to stdout.
Install Mechanism
There is no install spec (instruction-only at runtime), which is low risk. Two JS scripts are bundled so the agent could execute them locally. No remote downloads, no extract steps, and no package dependencies. Minor inconsistency: package.json points main: "index.js" but no index.js is present, and package.json version (0.1.0) differs from registry metadata (0.1.1) — likely a packaging oversight but worth noting.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The JS files do not access process.env or network APIs; they operate on provided text only. This is proportionate to the described functionality.
Persistence & Privilege
Skill flags are default (always: false, user-invocable: true). The skill does not request permanent presence or modify other skills or system settings. There is no evidence it would persist credentials or alter agent configuration.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install warm-talk - 安装完成后,直接呼叫该 Skill 的名称或使用
/warm-talk触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.1
修复 eval() 安全风险,改用白名单属性访问
v0.1.0
- 首发版本,推出聊天助理“warm-talk”技能
- 根据女生聊天内容,分析情绪与意图,提供3-5条幽默/风趣/有梗的回复建议
- 附带详细分析思路与常见“踩雷”提醒,助你避坑
- 支持开场白定制、邀约话术建议,以及聊天卡壳时的补救策略
- 零门槛触发,场景细分,适用多种聊天难题
元数据
常见问题
聊天助理 是什么?
聊天助理技能。当用户不知道怎么回复女生、不知道怎么说开场白、想知道女生某句话什么意思、聊天卡壳了、不知道怎么约女生出来时触发。功能:分析女生回复的情绪和意图,给出3-5个幽默风趣又有梗的回复选项,附带分析思路和踩雷提示。关键词:怎么回复、怎么回、她说什么意思、不知道怎么聊、聊天卡壳、怎么约她出来、怎么开场白、聊天... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 165 次。
如何安装 聊天助理?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install warm-talk」即可一键安装,无需额外配置。
聊天助理 是免费的吗?
是的,聊天助理 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
聊天助理 支持哪些平台?
聊天助理 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 聊天助理?
由 mahaodl(@mahaodl)开发并维护,当前版本 v0.1.1。
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