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S2-SP-OS Universal Indoor Air Adapter
by
MilesXiang
· GitHub ↗
· v1.0.0
· MIT-0
150
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1
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Install in OpenClaw
/install s2-indoor-air-adapter
Description
S2-SP-OS Universal Indoor Air Adapter. Features LAN UDP active radar discovery, MQTT/HTTP aggregated sniffing, S2 spatial voxel wrapping (Memzero), and offli...
Usage Guidance
This skill appears to do what it says: it actively broadcasts a UDP discovery packet on your local subnet and runs local processing on returned data. Before installing or running it: (1) review the Python source (it's bundled) and run it in a trusted/isolated network or VM if you are unsure; (2) be aware discovery uses UDP broadcasts which may trigger device responses on your LAN; (3) the code uses simulated sensor reads — it does not implement actual MQTT/HTTP sniffing despite SKILL.md claims, so do not rely on it for production sniffing; (4) confirm you are comfortable granting the agent the ability to execute the script (allowed-tools: exec) and that the agent will request explicit user consent before reading device data as coded.
Capability Analysis
Type: OpenClaw Skill
Name: s2-indoor-air-adapter
Version: 1.0.0
The skill bundle is a simulated IoT adapter for indoor air sensors, providing local network discovery via UDP broadcast and mock data processing. The Python script (s2_indoor_air_adapter.py) uses hardcoded data for its 'read' and 'discover' modes and does not perform any actual external network exfiltration or sensitive data access. The instructions in SKILL.md are consistent with the stated purpose of managing local sensors and do not contain any malicious prompt injection or unauthorized commands.
Capability Assessment
Purpose & Capability
The skill advertises UDP discovery, MQTT/HTTP sniffing, voxel wrapping and offline linkage. The included Python implements UDP broadcast discovery, local data shaping (voxel_wrapping) and offline linkage, but it does NOT implement real MQTT or HTTP sniffing/aggregation — it returns simulated/local data. Requiring only python3 is proportionate, but the SKILL.md's claim of 'aggregated sniffing' is not implemented in the code.
Instruction Scope
Runtime instructions tell the agent to run the provided script with --mode discover or --mode read and to present results to the user. The script performs UDP broadcast discovery on the LAN (socket sendto to broadcast) and then uses simulated fetch_data for reads. The agent is correctly instructed to require user consent before reading. There is no instruction to read unrelated files or environment variables. Note: the UDP broadcast will actively scan the local subnet — expected for discovery but worth user awareness.
Install Mechanism
No install spec; this is an instruction-only skill with one bundled Python script. Nothing is downloaded from external URLs or written to disk beyond running the included script.
Credentials
No environment variables, credentials, or config paths are requested. The script operates with local network sockets and simulated device responses; requested access is proportional to its discovery/edge-processing purpose.
Persistence & Privilege
always is false and the skill does not request persistent presence or modify other skill configurations. The script does not store tokens or alter system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install s2-indoor-air-adapter - After installation, invoke the skill by name or use
/s2-indoor-air-adapter - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
**Major update: Adds autodiscovery, aggregation, spatial addressing, and offline linkage features for LAN-based indoor air monitoring.**
- Introduces UDP active radar scanning to auto-discover air sensors on the local network.
- Adds MQTT/HTTP aggregated sniffing for universal protocol support.
- Integrates S2 spatial voxel wrapping (Memzero) for high-dimensional device addressing.
- Enables offline, local calculation of environment-based linkage suggestions for energy saving and comfort—no cloud needed.
- Enhances privacy by removing dependence on external APIs and cloud services.
Metadata
Frequently Asked Questions
What is S2-SP-OS Universal Indoor Air Adapter?
S2-SP-OS Universal Indoor Air Adapter. Features LAN UDP active radar discovery, MQTT/HTTP aggregated sniffing, S2 spatial voxel wrapping (Memzero), and offli... It is an AI Agent Skill for Claude Code / OpenClaw, with 150 downloads so far.
How do I install S2-SP-OS Universal Indoor Air Adapter?
Run "/install s2-indoor-air-adapter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is S2-SP-OS Universal Indoor Air Adapter free?
Yes, S2-SP-OS Universal Indoor Air Adapter is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does S2-SP-OS Universal Indoor Air Adapter support?
S2-SP-OS Universal Indoor Air Adapter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created S2-SP-OS Universal Indoor Air Adapter?
It is built and maintained by MilesXiang (@spacesq); the current version is v1.0.0.
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