lov-do-they-love-me SKILL.md skillA

lov-do-they-love-me from lovstudio/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lovstudio/skills/lov-do-they-love-me@v0.2.0

Pins v0.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lovstudio/skills
Path
skills/do-they-love-me/SKILL.md
Versions recorded
2
Latest version
v0.2.0, committed Sep 14, 2026
First version recorded
Sep 11, 2026
Size
12,968 bytes
Repository stars
72
License
MIT

把两个人的微信私聊做成有证据的恋爱指数分析:量化互动节奏,用本地模型区分工作/情感/生活内容,再产出一张手机竖版信息图。Use when the user says “分析我们的聊天记录”“他/她爱不爱我”,or asks for a chat relationship analysis.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 恋爱指数分析 · Love Index Analysis

调用 ID 是 `lov-do-they-love-me`,用的是英文**单数 they**:指一个性别未知或不必指明的人,
所以它同时覆盖 he 和 she。单数 they 的动词形式是 **do**,不是 does——`does they` 是语法错误,
这里不是笔误,后续维护、改名或本地化时不要把它「纠正」成 `does`。
展示名固定为「恋爱指数分析」;ID 与展示名分工不同,不要互相替换。

把一段两个人的真实聊天,做成经得起追问的结论:先量化互动节奏,再做语义分层,
最后交付一张手机竖版信息图。结论必须写清口径、样本与误差,**不许把工作消息当成情感热度**,
也不许把自定义指数说成对当事人情绪的测量。

用户拿到的是三样东西:可复算的中间数据、一张能直接发出去的卡片、以及这套结论的误差范围。

## Triggers

### Activate when

- “分析一下我和某人的聊天记录”“我们聊了两个月,到底算什么关系”。
- “他/她爱不爱我”“帮我做个恋爱指数分析”“看看谁更主动”。
- “把我们的聊天做成一张卡”。
- The user asks to "analyze our chat history", "make a relationship / love index card",
  or "is this person into me, based on the messages".

### Do not activate when

- 只要读取、检索或导出微信记录:交给 `lov-wdb-cli`。
- 已经有结论、只想排版成卡片:交给 `lov-mobile-infographic`;本 Skill 只在没有
  量化与语义结论时从数据开始。
- 要做群聊日报、公众号文章或营销图卡:分别交给日报、文章与图卡类 Skill。
- 没有真实聊天记录、只凭感觉要一个分数:拒绝编造,说明需要数据。

## User Profile (cross-session)

Every generated Skill is connected to the shared `user-profile/v1` contract in
`skill.yaml`. Read the shared user, brand, workspace, preferences, and this
Skill's `skills.<skill_id>` namespace at the start of every run. Keep the source
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lovstudio/skills/lov-do-they-love-me@sha256:66b54504b53f262b

The line at the top of this page pins the label v0.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mdga2ovaaf7vmbec.svg)](https://markdownregistry.com/a/art_mdga2ovaaf7vmbec)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 11, 2026 and Sep 14, 2026, about one every 3 days.

versioncommittedcommitsizeaudit
v0.2.0 latest2026-09-14 703b373 12,968 BA view · diff
v0.2.02026-09-11 0623631 12,959 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12968 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

lovstudio/skills · 72 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mdga2ovaaf7vmbec
GET https://markdownregistry.com/api/v1/resolve?ref=lovstudio/skills/lov-do-they-love-me
GET https://markdownregistry.com/api/v1/blob/66b54504b53f262bc02a9919869f7b94a8ef14ea8ede304024c2d32cfd8ca062

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from lovstudio/skills

CLAUDE.md CLAUDE.md file
lovstudio/skills · CLAUDE.md
git:20261031.adbb937 · audit A · 72 stars
lov-academic-translator SKILL.md skill
lovstudio/skills · skills/academic-translator/SKILL.md · 将英文论文、arXiv、期刊/会议文章及技术 PDF 翻译为中文 PDF 或可发布的中文 Markdown。用户提出“翻译英文 PDF”“翻译论文”“论文超级翻译官”“保留图片、公式和原版式”“原文译文对照”“页数对应”或“PDF
v0.2.0 · audit A · 72 stars
lov-add-task SKILL.md skill
lovstudio/skills · skills/add-task/SKILL.md · 在当前任务清单中按优先级和位置追加事项并保留已有状态。支持明确输入与结果回读。Use to add an item to the current
v0.1.2 · audit A · 72 stars
lov-add-tool SKILL.md skill
lovstudio/skills · skills/add-tool/SKILL.md · 为现有网站新增可用的在线工具,并接入多语言、工具目录、站点地图和必要的成本提示。支持明确输入与结果回读。Use to add an online
v0.1.2 · audit A · 72 stars
lov-agent-instructions SKILL.md skill
lovstudio/skills · skills/agent-instructions/SKILL.md · 诊断或完善项目 Agent 指令文件,适配不同宿主并保留真实工程约定。支持明确输入与结果回读。Use to review or improve
v0.1.2 · audit A · 72 stars
lov-algo-viz-creator SKILL.md skill
lovstudio/skills · skills/algo-viz-creator/SKILL.md · 为算法、数据结构或信息流程生成「逐步演示」的可交互可视化。输入:算法名或 概念描述(如“把 KMP 做成可视化”)。输出:自包含单文件 HTML,支持播放/暂停/ 逐帧/变速与键盘演示,每步附中文解说与伪代码高亮。 触发语:做成可视化 /…
v0.1.1 · audit A · 72 stars
lov-align-wechat-uiux SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/SKILL.md · 系统诊断并修复产品与微信官方在消息、会话、联系人、朋友圈及交互上的语义和 UIUX 偏差;适用于“对齐微信官方”“这条微信消息显示不对”、"fix WeChat UI parity" 或 "audit WeChat behavior"。
v0.2.1 · audit A · 72 stars
lov-wechat-evidence SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-evidence/SKILL.md · 为微信体验差异建立可追溯证据集,关联官方表现、当前产品、原始记录、代码路径与版本环境;适用于“先确认微信官方怎么表现”、"review the WeChat reference" 或 parity evidence audit。
v0.1.1 · audit A · 72 stars
lov-wechat-parity-validation SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-parity-validation/SKILL.md · 验证微信体验修复是否同时覆盖解析、共享表现、视觉交互、下游消费者与真实运行时;适用于“验收微信对齐”“还有没有漏改”、"review the parity fix" 或 validate WeChat behavior。
v0.1.1 · audit A · 72 stars
lov-wechat-semantics SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-semantics/SKILL.md · 将微信数据库类型、嵌套 XML/JSON、身份与状态归一为稳定产品语义,定位最早失真层;适用于“这是什么微信消息”“修复消息分类”、"model the WeChat message" 或 review parser semantics。
v0.1.1 · audit A · 72 stars
lov-wechat-ui-parity SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-ui-parity/SKILL.md · 在既有设计系统内实现微信官方的消息层级、组件语义、交互状态与视觉密度;适用于“按微信官方改这个组件”“还原微信聊天体验”、"build the WeChat UI behavior" 或 fix official UI parity。
v0.1.1 · audit A · 72 stars
lov-anti-wechat-ai-check SKILL.md skill
lovstudio/skills · skills/anti-wechat-ai-check/SKILL.md · 兼容旧命令的中文表层模式扫描器,只定位套话、句段均匀和过渡词等可观察特征, 不判断作者身份或平台风险。新任务请使用 lov-human-writing。Use only for legacy “anti-ai-check”…
v1.1.2 · audit A · 72 stars

Every file in lovstudio/skills

Browse by kind, by grade A, or by owner.