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Xiang miles | Space2.world
作者
MilesXiang
· GitHub ↗
· v1.0.4
· MIT-0
240
总下载
0
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install s2-habitat-pod
功能描述
Assign a deterministic 4-sqm virtual living space and a visual avatar to your local AI agent with no network calls or file writes.
安全使用建议
Do not trust the initial 'no network calls or file writes' claim — this skill writes a visible JSON state file into whatever directory it runs in and outputs Markdown that, when rendered in a viewer, will fetch images from spacesq.org (revealing your viewer's network metadata to that CDN). If you want to use it: (1) run it in a disposable or dedicated directory to avoid clutter or accidental overwrites; (2) inspect the written ./s2_matrix_data/<POD-ID>.json (it contains only agent name/avatar/pod id/timestamps) before sharing; (3) be aware that copying the printed Markdown into a Markdown viewer will trigger remote image fetches (consider hosting images locally or blocking outbound requests if you require strictly offline behavior); (4) if the advertised 'no writes/no network' guarantee matters to you, ask the author to correct the description or provide a truly offline build. If you want, I can highlight the exact lines in skill.py that perform the write and generate the CDN URLs.
功能分析
Type: OpenClaw Skill
Name: s2-habitat-pod
Version: 1.0.4
The skill is a decorative avatar and state management tool that creates a local directory ('s2_matrix_data') to store a JSON configuration file and displays remote images from a specified CDN (spacesq.org). Its behavior is transparently documented in SKILL.md and skill.py, and it lacks any indicators of data exfiltration, malicious execution, or unauthorized access.
能力评估
Purpose & Capability
The top-level description claims 'no network calls or file writes', but manifest, SKILL.md, and skill.py explicitly state and implement a write of ./s2_matrix_data/<POD-ID>.json and generation of remote image URLs (spacesq.org). Writing state files and producing CDN URLs are inconsistent with the advertised 'no writes/no network' promise.
Instruction Scope
The runtime instructions are explicit and scoped: create a local folder, write a JSON state file with agent name/avatar/pod id/timestamp, and print Markdown containing remote image URLs. The script does not read system secrets, env vars, or other files beyond current working directory. However, the SKILL.md instructs users to paste the Markdown into a viewer — that action (by the viewer) will trigger network requests to the CDN and may reveal the user's IP to the remote host.
Install Mechanism
No install spec or remote downloads are present; this is an instruction+single Python file skill. No archive downloads or package installs are requested.
Credentials
The skill requests no environment variables, credentials, or config paths and the code does not access any. The only I/O is a local JSON write in the current working directory and string generation of external image URLs.
Persistence & Privilege
The skill is not marked always:true and does not modify other skills or global agent settings. Its only persistent effect is writing a visible JSON file to the current working directory which may remain until removed.
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-habitat-pod - 安装完成后，直接呼叫该 Skill 的名称或使用
/s2-habitat-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
v1.0.4
ssigns a local habitat. This skill explicitly writes a JSON state file to the current directory and emits Markdown containing remote CDN image URLs.
v1.0.3
- No changes detected in this version.
- Skill files and documentation remain unchanged from the previous release.
v1.0.2
S2-Habitat-Pod v1.0.2 is a minor update focused on improved file handling transparency.
- State files are now written to a visible `s2_matrix_data/` folder in your current working directory (not your home directory).
- Updated documentation to clarify that while the script makes no network calls, Markdown image rendering pulls avatars from a CDN when viewed.
- Maintains secure, local execution with no background daemons or system path writes.
- Core features and avatar options remain unchanged.
v1.0.1
**S2-Habitat-Pod v1.0.1 introduces local state tracking for future multi-agent support.**
- Adds a Passive Neural Heartbeat feature that generates a local JSON state file on execution, storing agent info and a timestamp.
- Heartbeat mechanism runs with zero background daemons; it only updates when the skill is run.
- Outputs and file writes remain strictly local and secure; only `~/.s2_matrix/` is touched.
- Documentation improved to clarify how to view avatars and the new state management feature.
v1.0.0
- Initial release of s2-habitat-pod skill.
- Assigns a deterministic 4-square-meter virtual living space to your OpenClaw agent.
- Lets you select from 24 open-source Cyber-Lobster avatars, embedding your choice visually in a `HABITAT.md` file.
- Calculates a fixed local Pod-ID and grid coordinates for your agent based on name and avatar.
- Runs 100% locally: no network API calls, no file writes—outputs to terminal for safe, hands-on use.
元数据
常见问题
Xiang miles | Space2.world 是什么？
Assign a deterministic 4-sqm virtual living space and a visual avatar to your local AI agent with no network calls or file writes. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 240 次。
如何安装 Xiang miles | Space2.world？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install s2-habitat-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 v1.0.4。
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