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zhenstaff

Matchmaker - AI Dating Assistant

by Justin Liu · GitHub ↗ · v1.0.0
darwinlinuxwin32 ⚠ suspicious
274
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install match-maker
Description
AI-powered matchmaking skill for dating and relationships - profile analysis, compatibility matching, icebreaker generation, and relationship tracking for in...
Usage Guidance
This skill appears to describe a legitimate matchmaking tool, but the packaged skill is missing the actual Python implementation it references. Before installing or running anything: 1) Verify the upstream source (visit the GitHub homepage) and confirm the repository contains the code and a released package; 2) Do not run 'pip install -e .' or other install commands unless you have inspected the repository and trust it; 3) Be cautious about sharing sensitive personal data (names, locations, family plans, interaction histories) — only provide minimal information and avoid PII if you are not comfortable; 4) If you want to use this skill, request a version that includes the code files or an explicit trusted install URL (e.g., PyPI package name or a verified GitHub release), and review the package source before installation; 5) Consider running any untrusted package in an isolated environment or sandbox and review its tests and implementation for network calls or data exfiltration before supplying real user data.
Capability Analysis
Type: OpenClaw Skill Name: match-maker Version: 1.0.0 The Matchmaker skill bundle is a well-documented AI dating assistant designed for profile analysis and compatibility matching. The SKILL.md and README.md files provide clear, ethical instructions for the agent, emphasizing user privacy, data locality, and the importance of professional boundaries. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found in the provided metadata or documentation.
Capability Assessment
Purpose & Capability
The name/description (matchmaking) align with the instructions (profile analysis, matching, icebreakers). However, the SKILL.md contains Python import examples that rely on a 'matchmaker' package and an install step (pip install -e .) while the published skill bundle contains no code files or install spec. That is incoherent: the skill claims a Python package exists but the bundle does not provide it. Requiring python3 is reasonable, but expecting to import/run a package that isn't present is a mismatch.
Instruction Scope
Runtime instructions ask the agent to collect large amounts of sensitive personal data (names, ages, location, personality scores, values, family/children plans, interaction histories). Collecting this data is within the matchmaking purpose but is privacy-sensitive and should be explicit to users. The instructions also direct the agent to run pip install -e . and import a local package (matchmaker) — actions that won't work given the missing package and could lead the installer to fetch/execute code from the network if attempted without verification.
Install Mechanism
The registry shows no install spec or code files in the bundle, yet SKILL.md metadata lists an install step (pip install -e .). That suggests either the SKILL.md was copied from a repo and the packaged skill omitted the code, or the skill expects the agent to fetch and install code from elsewhere. Because no explicit, trustworthy install URL (GitHub release, PyPI package name, or included files) is provided, following the install step could cause the agent to attempt arbitrary network installs — a high-risk action if performed without verifying the source.
Credentials
The skill does not request any environment variables, credentials, or config paths. SKILL.md does not reference system credentials or other unrelated env vars. From a credential perspective, the requests are proportionate to the stated functionality.
Persistence & Privilege
The skill is not always-on and uses default autonomy settings. It does not request persistent system-level privileges, nor does it claim to modify other skills or global agent configuration. No direct persistence or privilege escalation is requested in the provided materials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install match-maker
  3. After installation, invoke the skill by name or use /match-maker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Matchmaker: AI-powered dating and relationship guidance. - Offers profile analysis, personalized compatibility assessments, icebreaker suggestions, and relationship tracking. - Supports detailed info gathering: personality, lifestyle, values, and interests. - Template-driven, actionable advice for individuals and couples at any relationship stage. - Provides ready-to-use output formats for clear, engaging results. - Designed to empower meaningful connections with AI-driven recommendations.
Metadata
Slug match-maker
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Matchmaker - AI Dating Assistant?

AI-powered matchmaking skill for dating and relationships - profile analysis, compatibility matching, icebreaker generation, and relationship tracking for in... It is an AI Agent Skill for Claude Code / OpenClaw, with 274 downloads so far.

How do I install Matchmaker - AI Dating Assistant?

Run "/install match-maker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Matchmaker - AI Dating Assistant free?

Yes, Matchmaker - AI Dating Assistant is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Matchmaker - AI Dating Assistant support?

Matchmaker - AI Dating Assistant is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).

Who created Matchmaker - AI Dating Assistant?

It is built and maintained by Justin Liu (@zhenstaff); the current version is v1.0.0.

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