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kkw-21

Connect

by Kobe · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
332
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0
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7
Active Installs
1
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Install in OpenClaw
/install connect
Description
Memory-driven human connections — match people through deep emotional understanding, not surface interests. Powered by Echo's memory graph and emotion-aware...
README (SKILL.md)

Connect

Memory-driven human connections. Match people through deep emotional understanding, not surface-level interests or algorithmic feeds.

How it works

Connect analyzes memory graphs to find resonance between people — shared experiences, emotional patterns, and latent interests that surface-level profiles miss entirely.

Core capabilities

  • Emotional resonance matching — vector similarity across memory embeddings, weighted by emotional depth rather than keyword overlap
  • Cross-user memory bridging — find connections between two people's memory graphs that neither person would discover on their own
  • Privacy-first architecture — users control exactly which memories are matchable; nothing is shared without explicit consent
  • Aha moment delivery — the moment a stranger truly understands you through your memories, not your bio

Architecture

Built on Echo's three-layer memory system:

  1. Identity layer (compressed profile)
  2. Working memory (dynamic, context-aware)
  3. Long-term storage (Supabase + vector search)

Matching runs against Layer 3 with results surfaced through Layer 2 into conversation context.

Part of the Echo ecosystem

Connect is one component of Echo Chat by Iditor — building memory as social identity infrastructure.

Status

Early development. Core matching algorithm validated with beta users (K-Factor 2, D7 retention 42%).

Usage Guidance
This skill reads like an architectural pitch, not a runnable integration. Before installing or granting access: ask the publisher for concrete runtime details (API endpoints, exactly which env vars or tokens are required, and how consent is obtained and recorded), verify the code or a trustworthy implementation, and require a privacy/security policy explaining how memory data is stored, queried, and deleted. Do not supply database/API keys or grant access to memory stores until you confirm provenance (source code or a reputable homepage), an explicit consent flow, and least-privilege credentials scoped only to the needed data.
Capability Analysis
Type: OpenClaw Skill Name: connect Version: 0.1.0 The skill bundle contains only metadata and documentation (SKILL.md) describing a memory-based matching service. There is no executable code, no evidence of prompt injection, and no instructions that would lead to unauthorized data access or malicious behavior. The content is purely informational and aligned with its stated purpose.
Capability Assessment
⚠ Purpose & Capability
The skill claims to operate on Echo memory graphs and Supabase long-term storage (vector search) to match people, but the package declares no required credentials, config paths, or integration details that would be necessary to access those systems. That mismatch suggests the metadata is incomplete or misleading.
ℹ Instruction Scope
SKILL.md is high-level marketing/architecture text rather than runtime instructions. It does not specify how to obtain consent, authenticate to Supabase/vector DB, or which endpoints to call. The lack of concrete runtime steps reduces immediate execution risk but makes the skill non-operational and vague about data handling.
✓ Install Mechanism
No install spec and no code files are present; nothing will be written to disk or automatically executed by an installer. This minimizes code-execution risk from the package itself.
⚠ Credentials
The described functionality would normally require sensitive credentials (database/API keys, access to users' memories) and explicit consent controls, but requires.env and primary credential fields are empty. Either the skill is incomplete or it expects to rely on implicit platform-provided access — both should be clarified before use.
✓ Persistence & Privilege
The skill is not marked always:true and does not request elevated platform presence. It is user-invocable and allows model invocation (defaults), which is normal and not in itself a red flag.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install connect
  3. After installation, invoke the skill by name or use /connect
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial placeholder — memory-driven human connections
Metadata
Slug connect
Version 0.1.0
License MIT-0
All-time Installs 7
Active Installs 7
Total Versions 1
Frequently Asked Questions

What is Connect?

Memory-driven human connections — match people through deep emotional understanding, not surface interests. Powered by Echo's memory graph and emotion-aware... It is an AI Agent Skill for Claude Code / OpenClaw, with 332 downloads so far.

How do I install Connect?

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

Is Connect free?

Yes, Connect is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Connect support?

Connect is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Connect?

It is built and maintained by Kobe (@kkw-21); the current version is v0.1.0.

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