S2 Hanzi Antonym Logic
v1.0.0A hardcore spatial physics and dialectical reasoning framework. Teaches the OpenClaw agent to process environmental controls using Chinese antonym morphologi...
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byMilesXiang@spacesq
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
The skill's name and description match the SKILL.md: it is a stylistic/logic layer that rephrases environmental control in terms of Hanzi antonyms. It does not request unrelated credentials or binaries. However, it provides no mechanism to actually actuate devices (no APIs, no mappings to Tuya/Home Assistant) while also forbidding numeric commands, which reduces practical capability for real-world control.
Instruction Scope
All runtime instructions are limited to linguistic/visual behavior (discard numerics, narrate morphological shifts, act as Spatial Architect). The instructions do not ask the agent to read files, call external endpoints, or access environment variables. The main concern is scope creep from the README's suggestion to later add a native plugin — currently absent — which could change behavior if introduced.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes on-disk risk; nothing is downloaded or installed by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. There is no indication of credential access or data exfiltration in the provided instructions.
Persistence & Privilege
Flags are default (always: false, user-invocable: true, model invocation allowed). There is no request for permanent presence or modification of other skills or system-wide settings.
Scan Findings in Context
[no-findings] expected: The regex scanner had no code to analyze (instruction-only skill). Absence of findings is expected for a text-only SKILL.md/README; it does not imply safety beyond what the instructions declare.
Assessment
This skill only changes how the agent describes and visualizes environmental changes (language/UI style); it does not include connectors to real devices. Before installing, consider: (1) If you expect the agent to actually change thermostats, lights, or speakers, this skill by itself provides no numeric setpoints or actuator mappings—you'll need a separate plugin that safely translates the Hanzi-style directives into concrete API calls. (2) Because it forbids numeric commands, test interactions in a safe simulation or with non-critical devices so you don't accidentally leave hardware in an unintended state. (3) Watch for any future 's2-hanzi-ambient-renderer' or other native plugin releases: those would require a fresh review (they could introduce network access, binaries, or credentials). (4) If you plan to let agents act autonomously, ensure correct guardrails are in place for device control (authorizations, confirmations, limits).Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.