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Xiang miles | Space2.world

by MilesXiang · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install s2-matrix-pod
Description
Assigns a 4-square-meter virtual space and visual avatar to your agent, saves local state files, and generates remote image URLs for display.
Usage Guidance
This skill is internally consistent and low-risk, but consider these points before installing: (1) It will create a visible folder ./s2_matrix_data and write a JSON file named like POD-XXXXXX.json in whatever directory the agent runs — avoid running it in sensitive directories. (2) The printed Markdown includes remote image URLs hosted at spacesq.org; when you paste that Markdown into a viewer the viewer will fetch those images, which reveals your IP and client metadata to the CDN — only paste into viewers you trust. (3) Do not enter secrets or sensitive identifiers as the agent name because the Pod-ID is deterministically derived from that name. (4) The manifest points to space2.world while images come from spacesq.org; if you need stronger assurance, verify those domains before use. Overall the behavior matches the stated purpose and no credentials or obscure installs are required.
Capability Analysis
Type: OpenClaw Skill Name: s2-matrix-pod Version: 1.0.0 The skill is a cosmetic state-management tool designed to assign a virtual 'habitat' and avatar to an agent. It performs local I/O by creating a subdirectory and a JSON file to store non-sensitive configuration data (agent name, coordinates, and timestamps) and outputs Markdown containing image links from a CDN (spacesq.org). No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found in skill.py or SKILL.md.
Capability Assessment
Purpose & Capability
Name/description, manifest, SKILL.md, and code align: the skill writes a local state file and produces CDN image URLs. Minor note: image CDN uses spacesq.org while the manifest/homepage references space2.world — this is likely benign but worth being aware of.
Instruction Scope
SKILL.md explicitly documents the runtime actions (create ./s2_matrix_data, write <POD-ID>.json, print Markdown containing remote image URLs). It asks for an agent name (user input) and instructs the user to paste the Markdown into a viewer which will fetch images from the CDN — expected for this skill but does expose the user’s viewer to remote image fetches (IP/UA leakage).
Install Mechanism
No install spec and no external downloads; the skill is instruction-only with a small Python entry script. No archives or remote code execution from unknown URLs.
Credentials
The skill requests no environment variables, no credentials, and reads nothing outside the current working directory. No disproportionate access requested.
Persistence & Privilege
always is false; the skill writes only to a s2_matrix_data folder in the current working directory and does not modify other skills or global agent settings. Autonomous invocation is allowed (platform default) but not combined with other high-risk factors.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install s2-matrix-pod
  3. After installation, invoke the skill by name or use /s2-matrix-pod
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of S2-Habitat-Pod, assigning a 4m² virtual space and a visual face to your OpenClaw agent. - Creates a local `s2_matrix_data` folder and writes a visible `<POD-ID>.json` state file containing agent info and timestamp. - Generates and prints Markdown with remote image URLs for agent avatars (fetched from Space2 CDN when used). - Features 24 unique Cyber-Lobster avatars and deterministic Pod-ID/grid assignment based on agent name.
Metadata
Slug s2-matrix-pod
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Xiang miles | Space2.world?

Assigns a 4-square-meter virtual space and visual avatar to your agent, saves local state files, and generates remote image URLs for display. It is an AI Agent Skill for Claude Code / OpenClaw, with 147 downloads so far.

How do I install Xiang miles | Space2.world?

Run "/install s2-matrix-pod" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Xiang miles | Space2.world free?

Yes, Xiang miles | Space2.world is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Xiang miles | Space2.world support?

Xiang miles | Space2.world is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Xiang miles | Space2.world?

It is built and maintained by MilesXiang (@spacesq); the current version is v1.0.0.

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