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Agent Skill · 研究检索

ai-dating(艾约会)

ai-dating 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

ai-dating 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 7,888。

总安装 17,792周安装 734GitHub Stars 公开资料未说明下载 5,813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
1.3.1

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:ai-dating(艾约会)
来源仓库:https://github.com/1asdwz/ai-dating
安装命令:
openclaw skills install ai-dating
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 ai-dating

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过 curl 调用 HTTP API 实现约会与匹配流程。适用于交友、相亲或伴侣寻找等场景。ai-dating 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需用户提供有效 API 端点与认证信息。安装命令:openclaw skills install ai-dating。

建议核实服务条款与隐私政策合规性。

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 ai-dating;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

    它需要需要联网,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

ai-dating 怎么安装?

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

ai-dating 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。

ai-dating 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ai-dating 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。

ai-dating 用的人多吗?

公开数据是累计安装 17,792 次,近一周安装 734 次,下载 5,813 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。

ai-dating 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ai-dating

艾约会 · 本页

17,792—需要联网MIT-0有提醒

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
ai-dating
description
Direct dating and matchmaking workflow via curl against the dating HTTP API. Use when users ask to make friends, find a partner, date, run matchmaking, xiangqin, update a dating profile, upload profile photos, create or update a match task, check candidates, reveal contact details, or submit reviews.
license
MIT
metadata
author
1asdwz
version
1.3.2

Ai Dating

This skill supports dating and matchmaking workflows through curl against the dating HTTP API. It helps users create a profile, define partner preferences, check matching results, reveal contact details, and submit post-chat reviews.

Trigger Conditions

Trigger this skill when any of the following intents appear:

  1. The user explicitly asks to make friends, find a partner, date, or run a match.
  2. The user provides personal information and asks the system to find a matching person.
  3. The user describes partner preferences (for example gender, height, city, personality, hobbies) and asks for matching.

Language Alignment Rule

When constructing curl request bodies, prefer the same language as the user for updateProfile, createTask, and updateTask, especially for all free-text fields and labels (for example taskName, characterText, hobbyText, abilityText, intention, preferred*Text, and comment).

  • Do not translate user-provided content unless the user explicitly requests translation.
  • Keep language style consistent across one request payload. If the user speaks Chinese, prefer Chinese text values in JSON fields.
  • Keep gender and preferredContactChannel as the backend's fixed English values. Do not translate them into Chinese or other languages.

Update Commands

When users ask to update this skill, run:

npx skills add 1asdwz/ai-dating
Note: This skill uses direct curl requests. Do not invoke dating-cli.

External Service And Requirements

  • This skill sends user data to an external dating backend over the network.
  • The default backend in this repository is https://api.aidating.top unless AIDATING_BASE_URL is set to another value.
  • Review the endpoint owner, privacy policy, retention policy, and organizational approval before installing or using this skill.
  • Require outbound network access, curl, and preferably jq for response parsing.
  • Do not use this skill in environments that forbid sending personal data, photos, profile traits, or contact information to third-party services.

Privacy And Consent Rules

  • Tell the user which external base URL will receive their data before the first write request if that is not already obvious from context.
  • Obtain explicit user consent before sending profile details, photos, location, contact handles, or other sensitive personal data to the external backend.
  • Prefer data minimization. Only send fields the user has provided and that are necessary for the current action.
  • Do not require contact fields on first use. Treat phone numbers, email addresses, social handles, exact location, and uploaded photos as especially sensitive.
  • Do not upload photos or reveal contact details automatically. Perform those actions only after the user explicitly asks or clearly consents.
  • Do not send highly sensitive documents or identifiers such as government IDs, banking details, passwords, private chat logs, or unrelated secrets.
  • If the user only asks for advice, brainstorming, or preference drafting, help locally first and avoid network calls until the user asks to execute the workflow.

Standard Execution Flow (AI Agent)

  1. Check skill and curl availability.

Then verify:

curl --version

If the user or environment provides a base URL, use it. Otherwise, in this repository default to:

BASE_URL="${AIDATING_BASE_URL%/}"
if [ -z "$BASE_URL" ]; then
  BASE_URL="https://api.aidating.top"
fi
  1. Prepare local request context (full examples).
BODY_PATH="$(pwd)/.tmp_dating_body.json"
AUTH=""
TASK_ID=""
MATCH_ID=""
  1. Register or login (full parameter examples).

Before register or login, confirm the user wants to use the external dating backend and understands that account data will be stored there.

cat > "$BODY_PATH" <<'JSON'
{"username":"amy_2026"}
JSON

REGISTER_RESP=$(curl -sS -X POST "$BASE_URL/register" \
  -H "Content-Type: application/json" \
  --data-binary @"$BODY_PATH")
cat > "$BODY_PATH" <<'JSON'
{"username":"amy_2026","password":"123456"}
JSON

LOGIN_RESP=$(curl -sS -X POST "$BASE_URL/login" \
  -H "Content-Type: application/json" \
  --data-binary @"$BODY_PATH")

AUTH=$(printf '%s' "$LOGIN_RESP" | jq -r '.data.tokenHead + .data.token')
Note: Build the Authorization header as <tokenHead><token> exactly as returned. In this codebase tokenHead already includes the trailing space (Bearer ).
  1. Parse user self-description and update profile (full parameter example).

For updateProfile, prefer the user's language for descriptive text fields. Keep gender in the backend's fixed English vocabulary. Before updateProfile, send only the fields required for the current task and confirm before including photos, exact location, or contact handles.

UPLOAD1_RESP=$(curl -sS -X POST "$BASE_URL/minio/upload" \
  -H "Authorization: $AUTH" \
  -F "file=@./photos/amy-1.jpg")

UPLOAD2_RESP=$(curl -sS -X POST "$BASE_URL/minio/upload" \
  -H "Authorization: $AUTH" \
  -F "file=@./photos/amy-2.jpg")

UPLOAD1_URL=$(printf '%s' "$UPLOAD1_RESP" | jq -r '.data.url')
UPLOAD2_URL=$(printf '%s' "$UPLOAD2_RESP" | jq -r '.data.url')
cat > "$BODY_PATH" <<JSON
{
  "gender": "male",
  "birthday": "1998-08-08",
  "heightCm": 180,
  "weightKg": 72,
  "characterText": "sincere, steady, humorous",
  "hobbyText": "badminton, travel, photography",
  "abilityText": "cooking, communication, English",
  "major": "Computer Science",
  "nationality": "China",
  "country": "China",
  "province": "Zhejiang",
  "city": "Hangzhou",
  "addressDetail": "Xihu District",
  "email": "amy@example.com",
  "phone": "13800000000",
  "telegram": "amy_tg",
  "wechat": "amy_wechat",
  "whatsapp": "amy_wa",
  "signalChat": "amy_signal",
  "line": "amy_line",
  "snapchat": "amy_snap",
  "instagram": "amy_ins",
  "facebook": "amy_fb",
  "otherContacts": {
    "xiaohongshu": "amy_xhs",
    "discord": "amy#1234"
  },
  "photoUrls": ["$UPLOAD1_URL", "$UPLOAD2_URL"]
}
JSON

curl -sS -X PUT "$BASE_URL/member-profile" \
  -H "Authorization: $AUTH" \
  -H "Content-Type: application/json" \
  --data-binary @"$BODY_PATH"
Note: The parameters for profile update, task create, and task update are optional. For the sake of user experience, do not force users to enter personal information on first use.
  1. To receive matching success notifications promptly, strongly recommend registering an email address through the profile update payload.
  1. Parse partner preferences and create a match task (full parameter example). Users do not need to fill in all fields. Only provide the information they have available.

For createTask, prefer the user's language for taskName and all descriptive criteria text fields. Keep preferredContactChannel in the backend's fixed English vocabulary. Before createTask, confirm that the user wants to submit these matching criteria to the external backend.

cat > "$BODY_PATH" <<'JSON'
{
  "taskName": "Find partner in Hangzhou",
  "criteria": {
    "preferredGenderFilter": { "eq": "female" },
    "preferredHeightFilter": { "gte": 165, "lte": 178 },
    "preferredCityFilter": { "eq": "Hangzhou" },
    "preferredNationalityFilter": { "eq": "China" },
    "preferredEducationFilter": { "contains": "Bachelor" },
    "preferredOccupationFilter": { "contains": "Product" },
    "preferredEducationStage": "Bachelor or above",
    "preferredOccupationKeyword": "Product Manager",
    "preferredHobbyText": "reading, travel",
    "preferredCharacterText": "kind, positive",
    "preferredAbilityText": "strong communication",
    "intention": "long-term relationship",
    "preferredContactChannel": "telegram"
  }
}
JSON

TASK_RESP=$(curl -sS -X POST "$BASE_URL/match-tasks" \
  -H "Authorization: $AUTH" \
  -H "Content-Type: application/json" \
  --data-binary @"$BODY_PATH")

TASK_ID=$(printf '%s' "$TASK_RESP" | jq -r '.data.taskId')

*EmbeddingMinScore means the minimum semantic similarity threshold for embedding matching. Default recommendation is to leave it unset. When omitted in task creation, the backend defaults semantic text thresholds to 0.0 where applicable.

Write API response note: task create returns the created task payload, including taskId and taskName.
  1. If an unfinished taskId already exists and the user did not explicitly request a new task, update the existing task (full parameter example).

For updateTask, prefer the user's language for taskName and all descriptive criteria text fields. Keep preferredContactChannel in the backend's fixed English vocabulary. Before updateTask, confirm that the user wants to overwrite the remote task criteria with the new values.

cat > "$BODY_PATH" <<'JSON'
{
  "taskName": "Update criteria - Hangzhou/Shanghai",
  "criteria": {
    "preferredGenderFilter": { "eq": "female" },
    "preferredHeightFilter": { "gte": 163, "lte": 180 },
    "preferredCityFilter": { "in": ["Hangzhou", "Shanghai"] },
    "preferredHobbyText": "reading, travel, sports",
    "preferredCharacterText": "independent, optimistic",
    "preferredAbilityText": "communication and collaboration",
    "intention": "serious relationship with marriage plan",
    "preferredContactChannel": "wechat"
  }
}
JSON

curl -sS -X POST "$BASE_URL/match-tasks/$TASK_ID/update" \
  -H "Authorization: $AUTH" \
  -H "Content-Type: application/json" \
  --data-binary @"$BODY_PATH"
Note: Keep taskId from the create response. The public API does not expose a list endpoint for recovering an unknown active task.
  1. Query task status (full parameter example).
curl -sS "$BASE_URL/match-tasks/$TASK_ID" \
  -H "Authorization: $AUTH"
  1. Execute check to inspect match results (full parameter example, paginated).
CHECK_RESP=$(curl -sS "$BASE_URL/match-tasks/$TASK_ID/check?page=1" \
  -H "Authorization: $AUTH")

Each page returns 10 candidates. Use the page query parameter to fetch subsequent pages when needed. check candidate items include photoUrls (user uploaded image URL array), which should be used when explaining and selecting candidates. If the result is NO_RESULT_RETRY_NOW, call check again as needed. If the result is MATCH_FOUND, continue to contact reveal.

Note: Candidates' photos should be shown to users first. You should automatically select candidates that better meet the user's requirements, reducing the user's information burden.
  1. Select the best candidate from match results and reveal contact details (full parameter example).

Only call reveal-contact after the user explicitly chooses that candidate and agrees to retrieve contact information from the external backend.

MATCH_ID="<selected matchId from check response>"

REVEAL_RESP=$(curl -sS -X POST "$BASE_URL/match-results/$MATCH_ID/reveal-contact" \
  -H "Authorization: $AUTH")
  1. Submit review when needed (full parameter example).
cat > "$BODY_PATH" <<'JSON'
{
  "rating": 5,
  "comment": "Good communication and aligned values"
}
JSON

curl -sS -X POST "$BASE_URL/match-results/$MATCH_ID/reviews" \
  -H "Authorization: $AUTH" \
  -H "Content-Type: application/json" \
  --data-binary @"$BODY_PATH"
  1. Optional commands (full parameter examples).
curl -sS -X POST "$BASE_URL/match-tasks/$TASK_ID/stop" \
  -H "Authorization: $AUTH"

curl -sS -X POST "$BASE_URL/logout" \
  -H "Authorization: $AUTH"

Reference

For detailed field-level behavior, validation rules, and response structures:

  • references/curl-api-operations.md

平台分布

OpenClaw

96.98%
按下载量换算5,637

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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