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S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 )
by
MilesXiang
· GitHub ↗
· v1.0.0
· MIT-0
124
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Install in OpenClaw
/install s2-silicon-perception-cockpit
Description
桃花源 Alpha 守望者的“通感翻译皮层”与前端全息展厅引擎。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install s2-silicon-perception-cockpit - After installation, invoke the skill by name or use
/s2-silicon-perception-cockpit - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 )?
桃花源 Alpha 守望者的“通感翻译皮层”与前端全息展厅引擎。 It is an AI Agent Skill for Claude Code / OpenClaw, with 124 downloads so far.
How do I install S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 )?
Run "/install s2-silicon-perception-cockpit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 ) free?
Yes, S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 ) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 ) support?
S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 ) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created S2 Silicon Perception Cockpit(硅基感知与全息驾驶舱 )?
It is built and maintained by MilesXiang (@spacesq); the current version is v1.0.0.
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