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perfect match
作者
pikaqiu2333
· GitHub ↗
· v1.0.0
· MIT-0
133
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install perfectmatch
功能描述
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...
安全使用建议
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.
功能分析
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.
能力评估
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.
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 perfectmatch - 安装完成后，直接呼叫该 Skill 的名称或使用
/perfectmatch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
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.
元数据
常见问题
perfect match 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 133 次。
如何安装 perfect match？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install perfectmatch」即可一键安装，无需额外配置。
perfect match 是免费的吗？
是的，perfect match 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
perfect match 支持哪些平台？
perfect match 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 perfect match？
由 pikaqiu2333（@pikaqiu2333）开发并维护，当前版本 v1.0.0。
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