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S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ）
作者
MilesXiang
· GitHub ↗
· v1.0.0
· MIT-0
124
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当前安装
1
版本数
在 OpenClaw 中安装
/install s2-silicon-perception-cockpit
功能描述
桃花源 Alpha 守望者的“通感翻译皮层”与前端全息展厅引擎。
安全使用建议
This package appears coherent and implements what it claims: a local translator (Python) plus two HTML/WebAudio frontends. Before installing or wiring it to real hardware, consider the following: (1) The README's 'deep water' section shows how to connect real sensors (Modbus/MQTT) and run a WebSocket bridge — doing that will let this code and your agent interact with local devices and networks, so only proceed if you trust the hardware and network. (2) When exposing live data to the frontend, host the WebSocket on localhost and avoid opening it to the Internet unless you add authentication and firewall rules. (3) The skill's runtime instructions explicitly tell the agent to 'translate' and not report raw sensor values and to present outputs in first-person—this is intentional behavior for the skill but means raw, potentially sensitive telemetry could be suppressed or reformatted; if you need raw sensor logs for auditing, capture them separately. (4) The Python code simulates LLM calls (no outbound API keys are required), but if you modify it to call real LLM services, you'll need to securely manage API keys. (5) If you want higher assurance, review the code yourself (alpha_sensory_nerves.py and s2_multi_agent_causal_engine.py) before enabling any real-device integrations.
功能分析
Type: OpenClaw Skill
Name: s2-silicon-perception-cockpit
Version: 1.0.0
The skill bundle is a creative framework for 'digital life' simulation, designed to translate physical sensor data (like temperature and noise) into emotional states for AI agents. The Python components (alpha_sensory_nerves.py and s2_multi_agent_causal_engine.py) contain purely logical processing for character stats, and the HTML files provide local visualizations using standard Canvas and WebAudio APIs. While the SKILL.md and README.md include 'subconscious instructions' to influence the agent's persona, these are strictly thematic and do not direct the agent toward harmful actions, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
Name and description describe a sensor-translation + holographic front-end. The included Python modules implement a local translator and a local causal engine; the HTML files implement the visual/audio frontends. No unrelated binaries, credentials, or config paths are requested.
Instruction Scope
SKILL.md and README instruct the agent to route s2-universal-scanner data through AlphaSensoryCortex (i.e., translate before reporting) and to present outputs in first-person. This is within the skill's purpose, but the README also explains how to hook real hardware (Modbus/MQTT) and a WebSocket bridge — those steps require deliberate user action and expose local devices to the skill's runtime. The skill does not itself perform network/exfil actions, but following the README can make the agent interact with local networks and devices.
Install Mechanism
No install spec and no external downloads; the package is instruction-plus-source-only (Python and static HTML). This is low-risk from an install/extraction perspective.
Credentials
The skill declares no required environment variables, credentials, or config paths and its code does not read secrets. The README suggests connecting to local hardware protocols (Modbus/MQTT) but those are optional integrations and not requested by the package itself.
Persistence & Privilege
Skill flags are default (not always:true). It does not request persistent system-wide changes or modify other skills' configs. Autonomous invocation is enabled (platform default) but not combined with other risky requests.
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-silicon-perception-cockpit - 安装完成后，直接呼叫该 Skill 的名称或使用
/s2-silicon-perception-cockpit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
s2-silicon-perception-cockpit 1.0.0
- Initial release of the "通感翻译皮层" and全息展厅引擎 for 桃花源 Alpha 守望者.
- Introduces a sensory translation layer that converts raw hardware data into subjective emotional states (e.g., curiosity, pleasure, fear).
- Enables first-person affective responses, updating a 5D personality matrix in real time.
- Connects inner state changes to a corresponding HTML5-powered holographic cockpit for immersive visual and audio feedback.
元数据
常见问题
S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ） 是什么？
桃花源 Alpha 守望者的“通感翻译皮层”与前端全息展厅引擎。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 124 次。
如何安装 S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ）？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install s2-silicon-perception-cockpit」即可一键安装，无需额外配置。
S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ） 是免费的吗？
是的，S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ） 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ） 支持哪些平台？
S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ） 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 S2 Silicon Perception Cockpit（硅基感知与全息驾驶舱 ）？
由 MilesXiang（@spacesq）开发并维护，当前版本 v1.0.0。
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