S2-SP-OS Acoustic Radar

S2-SP-OS Acoustic Radar. Edge-delegated zero-shot classification with Ephemeral Privacy and strict LAN-only network enforcement. / S2-SP-OS 语义声学雷达。本地边缘零样本分类，...

This skill appears coherent: it records a short (3s) audio slice and sends it to a local Edge Brain, enforcing private LAN IPs and requiring user consent. Before installing or running: 1) Confirm the Edge Brain service at the LAN address is fully under your control and audited—the skill cannot prevent a local server from forwarding data to the internet. 2) Isolate the Edge Brain on a network segment with blocked internet egress (firewall rules) if you need strong privacy guarantees. 3) Verify the Edge Brain implementation (the endpoint /api/v1/analyze) to ensure it doesn't store or exfiltrate raw audio. 4) Be aware the skill will access the system microphone—ensure user consent and consider a visible hardware/OS indicator. 5) Test in a controlled environment first (air-gapped or VLAN) to confirm behavior matches expectations.

Type: OpenClaw Skill Name: s2-acoustic-perception Version: 1.0.5 The skill bundle implements an acoustic radar that records audio and sends it to a local network endpoint for analysis. While `acoustic.py` includes security features like mandatory private IP checks (`ipaddress.is_private`) and `SKILL.md` emphasizes consent and privacy, the inherent capabilities of microphone access and network transmission of audio data are high-risk. The code appears aligned with its stated purpose of local-only acoustic perception, but the presence of these sensitive capabilities justifies a suspicious classification under the provided criteria for risky behaviors.