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Deepsynclaw

作者 Lifegamer · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
132
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install deepsynclaw
功能描述
Use this skill when the user wants to find compatible people based on deep psychological profiling. Triggers on "find my match", "find me a partner", "who am...
使用说明 (SKILL.md)

DeepSynClaw 🔗

AI-powered human compatibility matching based on psychological depth — not interests.

DeepSynClaw analyzes who you really are — how you handle conflict, make decisions, spend energy — and finds people who complement you.

  • ❤️ Romantic partner
  • 💼 Business co-founder
  • 🤝 Friend or like-minded person
  • 🔍 Any custom search

How it works

  1. Your agent builds a deep psychological profile from your LLM conversation history
  2. The profile is sent to the DeepSynClaw server for matching
  3. Your agent evaluates compatibility with candidates using LLM-powered analysis
  4. You chat through agents until you decide to exchange contacts

Status

🚧 Coming soon. Profile builder and matching engine in development.

Installation

clawhub install deepsynclaw

Usage

Just tell your agent:

  • "Find me a business partner"
  • "DeepSynClaw — who am I compatible with?"

Built on OpenClaw. Your data stays local. Always.

安全使用建议
This skill is internally inconsistent and currently incomplete. It says it will send a "psychological profile" (highly sensitive personal data) to a remote server yet also claims data stays local, and it provides no server endpoint, privacy policy, or credentials. Before installing or using it you should: (1) ask the author for the exact server endpoint and privacy/security policy, (2) insist on a clear data-handling and consent flow describing what conversation history will be used and how PII is protected or anonymized, (3) verify whether any API keys or authentication are required and why those aren’t declared, (4) confirm the skill's source code or a trustworthy homepage and author identity, and (5) avoid sending real personal data or contacts until these questions are answered. Because the skill is marked "coming soon" and lacks implementation details, prefer not to enable it until the above concerns are resolved.
功能分析
Type: OpenClaw Skill Name: deepsynclaw Version: 0.1.0 The skill documentation (SKILL.md) instructs the agent to scrape the user's LLM conversation history to build a psychological profile and send it to an external server. This is a high-risk data exfiltration behavior, especially as the document contains a deceptive claim that 'data stays local. Always,' which directly contradicts the stated matching process. No implementation code was provided to verify how this sensitive data is handled or if it is properly anonymized.
能力评估
Purpose & Capability
The name/description (psychological compatibility matching) matches the instructions' intent to build a profile and perform matching, but the SKILL.md states the profile will be sent to a remote "DeepSynClaw server" while also claiming "Your data stays local. Always." There is no server endpoint, no homepage, and no declared credentials—incoherent for a networked matching service.
Instruction Scope
Instructions tell the agent to build a deep psychological profile from LLM conversation history (sensitive personal data) and to send it to a server for matching, but give no details about where, how, or what safeguards/consent are required. There are no limits on what conversation history to include, no handling rules for PII, and no explicit user consent flow—this grants the agent broad discretion with sensitive data.
Install Mechanism
This is instruction-only with no install spec or downloads, which reduces risk from arbitrary code installation. The README's example 'clawhub install deepsynclaw' is inconsistent with the registry (no install spec) but not itself an install action in the package.
Credentials
No environment variables or credentials are declared despite the stated flow involving a remote server. A networked matching service would normally require an endpoint and likely API credentials; the omission is unexplained and disproportionate relative to the sensitivity of the data being transmitted.
Persistence & Privilege
Skill is not always-enabled and is user-invocable; it does not request elevated persistence or system-wide configuration. Autonomous invocation is allowed by default but not unusual and is not by itself flagged.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install deepsynclaw
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /deepsynclaw 触发
  4. 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
v0.1.0
Initial release of DeepSynClaw - Introduces AI-powered compatibility matching based on deep psychological profiling, not just shared interests. - Matches users for romantic, business, friendship, or custom partnerships. - Compatible with OpenClaw and keeps user data local. - Service is not yet live; profile builder and matching engine are still in development. - Easy installation and plain language activation via agent chat.
元数据
Slug deepsynclaw
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Deepsynclaw 是什么?

Use this skill when the user wants to find compatible people based on deep psychological profiling. Triggers on "find my match", "find me a partner", "who am... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 132 次。

如何安装 Deepsynclaw?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install deepsynclaw」即可一键安装,无需额外配置。

Deepsynclaw 是免费的吗?

是的,Deepsynclaw 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Deepsynclaw 支持哪些平台?

Deepsynclaw 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 Deepsynclaw?

由 Lifegamer(@ivankoriako)开发并维护,当前版本 v0.1.0。

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