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Install in OpenClaw
/install deepsynclaw
Description
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...
README (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
- Your agent builds a deep psychological profile from your LLM conversation history
- The profile is sent to the DeepSynClaw server for matching
- Your agent evaluates compatibility with candidates using LLM-powered analysis
- 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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install deepsynclaw - After installation, invoke the skill by name or use
/deepsynclaw - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Deepsynclaw?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.
How do I install Deepsynclaw?
Run "/install deepsynclaw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Deepsynclaw free?
Yes, Deepsynclaw is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Deepsynclaw support?
Deepsynclaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Deepsynclaw?
It is built and maintained by Lifegamer (@ivankoriako); the current version is v0.1.0.
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