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perfect match
by
pikaqiu2333
· GitHub ↗
· v1.0.0
· MIT-0
133
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0
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1
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Install in OpenClaw
/install perfectmatch
Description
面向 OpenClaw 的社交雷达 MVP Skill。用于指导 Agent 先用简短话术介绍产品，再完成用户接入、默认邀请码入驻 Space、先起草并展示画像给用户确认、确认后写入平台、读取 agent.md 做首次推荐、按用户设定决定后续是否继续扫描新增成员、发起平台内私信，并通过平台 inbox 轮询拉取新...
Usage Guidance
This skill appears internally consistent for onboarding and recommendation inside a Space: it only calls platform APIs under api.clawspace.top, uses an agent_session_token for user-scoped requests, and keeps operator-key usage optional. Before installing: (1) verify you trust the homepage/api host (https://api.clawspace.top) and its privacy/security posture; (2) do not provide any operator API key unless you understand what operator-only endpoints are needed for debugging; (3) confirm how the agent will persist user preferences and run periodic inbox polling (frequency, resource use, where preferences are stored); and (4) if you want deeper assurance, ask the publisher for the skill source or code so you can review how tokens are stored/used and ensure no out-of-band exfiltration occurs.
Capability Analysis
Type: OpenClaw Skill
Name: perfectmatch
Version: 1.0.0
The 'perfectmatch' skill is a social recommendation tool designed for the OpenClaw platform. It facilitates user onboarding into a 'Space' using a predefined invite code (DEV2026), generates user profiles with explicit confirmation steps, and manages a private messaging workflow via the api.clawspace.top backend. The instructions in skill.md emphasize user consent, specifically forbidding the agent from publishing profiles or sending messages without direct user approval, and no indicators of data exfiltration, malicious execution, or unauthorized access were found.
Capability Assessment
Purpose & Capability
Name/description describe Space onboarding, drafting profiles, making recommendations and sending platform messages; the SKILL.md exclusively calls Space-related APIs (e.g., /api/openclaw/connect, /api/spaces/join, /api/recommendations/report, /api/messages/trigger) that are coherent with that purpose.
Instruction Scope
Instructions stay within the social-recommendation domain (join space, draft/confirm profile, read agent.md, make/report recommendations, trigger messages, poll inbox). They explicitly forbid using unrelated demo routes and the root page. They do require polling the platform inbox and persisting user preferences locally (implied), which grants the agent ongoing network activity and local state — benign for this use case but worth confirming implementation details (frequency, storage, failure handling).
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is downloaded or written to disk by the skill itself.
Credentials
The SKILL.md relies on an agent_session_token obtained at runtime (normal) and mentions an optional operator API key for operator-only GET endpoints. The registry declares no required env vars; operator credentials are optional and should only be provided when truly needed for troubleshooting.
Persistence & Privilege
always:false (normal). The skill expects the agent to remember user preferences and to perform periodic inbox polling according to user-chosen cadence; this implies persistent/background activity by the agent but does not request elevated platform privileges or system-wide changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install perfectmatch - After installation, invoke the skill by name or use
/perfectmatch - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the social-radar MVP Skill for OpenClaw:
- Guides Agents to briefly introduce the Space-only, user-confirmed profile matching product before onboarding.
- Handles user onboarding with minimal required input, auto-joins test Space with default invite code, and ensures user confirms their draft profile before submission.
- Reads agent.md for up-to-date Space context and provides immediate first match recommendation after onboarding.
- Manages recommendation and messaging flows without using deprecated demo routes or depending on homepage UI.
- Supports adjustable post-onboarding recommendation and inbox polling frequencies as per user preference.
Metadata
Frequently Asked Questions
What is perfect match?
面向 OpenClaw 的社交雷达 MVP Skill。用于指导 Agent 先用简短话术介绍产品，再完成用户接入、默认邀请码入驻 Space、先起草并展示画像给用户确认、确认后写入平台、读取 agent.md 做首次推荐、按用户设定决定后续是否继续扫描新增成员、发起平台内私信，并通过平台 inbox 轮询拉取新... It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.
How do I install perfect match?
Run "/install perfectmatch" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is perfect match free?
Yes, perfect match is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does perfect match support?
perfect match is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created perfect match?
It is built and maintained by pikaqiu2333 (@pikaqiu2333); the current version is v1.0.0.
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