ClawHub

S2 Spatial Element Layer & 4D Semantic Tensor Map

v1.0.0

S2 Spatial Element Layer & 4D Semantic Tensor Map. Integrates L0-L4 layer architecture, 20 material physics tensors, and Chronos backward-persistence time-sl...

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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
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description match the included artifacts: a parser (core/s2_geojson_parser.py), a local material tensor library, examples, and documentation. All requested resources are local files; nothing unrelated (e.g., cloud credentials or unrelated binaries) is required.
ℹ
Instruction Scope
SKILL.md prescribes strict runtime behavior (e.g., always retrieve tensors from s2_material_tensor_library and disable visual depth for clear_glass). These directives operate only on the provided local files and S2-GeoJSON inputs, but they are prescriptive about sensor fusion choices (which has operational/safety implications). The skill does not instruct reading unrelated system files, environment variables, or sending data externally.
✓
Install Mechanism
Instruction-only skill with one small Python file and local JSON assets; no install spec, no network downloads, no package manager actions. Low install risk.
✓
Credentials
No environment variables, credentials, or config paths are required. All necessary data is bundled with the skill (material tensor JSON, examples).
✓
Persistence & Privilege
Skill is not marked always:true and does not request persistent system privileges or modify other skills. It can be invoked by the agent normally; autonomous invocation is platform default and not a concern here.
Assessment
This package appears coherent and local-only, but review these operational points before installing: 1) Validate in simulation — the code enforces sensor-fusion rules (e.g., disabling visual depth for clear_glass) which can affect robot safety; test thoroughly on hardware. 2) Confirm there are no hidden network calls in your runtime environment (the included files do not call external endpoints). 3) Check the legal/operational claim about '60s backward-persistence' to ensure it aligns with your policy and liability model before you rely on it for safety-critical decisions. 4) Review the S2-CLA license restrictions if you plan to redistribute or integrate the skill into commercial bundles.

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.
Termshttps://spdx.org/licenses/MIT-0.html

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