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Xiang miles | Space2.world
作者
MilesXiang
· GitHub ↗
· v1.0.0
· MIT-0
147
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install s2-matrix-pod
功能描述
Assigns a 4-square-meter virtual space and visual avatar to your agent, saves local state files, and generates remote image URLs for display.
安全使用建议
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.
功能分析
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.
能力评估
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.
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 s2-matrix-pod - 安装完成后,直接呼叫该 Skill 的名称或使用
/s2-matrix-pod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 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.
元数据
常见问题
Xiang miles | Space2.world 是什么?
Assigns a 4-square-meter virtual space and visual avatar to your agent, saves local state files, and generates remote image URLs for display. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 147 次。
如何安装 Xiang miles | Space2.world?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install s2-matrix-pod」即可一键安装,无需额外配置。
Xiang miles | Space2.world 是免费的吗?
是的,Xiang miles | Space2.world 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Xiang miles | Space2.world 支持哪些平台?
Xiang miles | Space2.world 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 Xiang miles | Space2.world?
由 MilesXiang(@spacesq)开发并维护,当前版本 v1.0.0。
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