Real Skill packageSource verifiedClawHub registry

smart-cart-command-planner

Convert Chinese or English natural-language requests for an OpenClaw-powered omnidirectional smart cart into conservative, structured motion plans. Use for command understanding, task decomposition, waypoint planning, obstacle-aware movement, emergency-stop handling, and JSON control-plan generation for carts that support forward, backward, lateral movement, turning, sensing, waiting, and stopping.

Identity and source

Publisher attributionjason15336804registry owner unverified by skillvetai
Functional categorySupport, Ecommerce & Customer Opsautomatically inferred · 57% rule confidence
Package forminstruction with code5 recorded files
Canonical sourceClawHub registryclawhub:jason15336804:smart-cart-command-planner
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/22/2026.claude/skills/smart-cart-command-planner

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/22/2026.agents/skills/smart-cart-command-planner

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/22/2026skills/smart-cart-command-planner

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @jason15336804/smart-cart-command-planner
clawhub inspect @jason15336804/smart-cart-command-planner --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
5 / 5 inspected as text
Checked
8/22/2026, 1:06:23 PM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem read — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/22/2026, 9:43:02 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:a82ac96c73ca0590063457966aa1a55a0d8774ed5a4b05f218b6c5245c6f9238
Show up to 5 recorded paths
  • examples/sample-plan.json
  • references/command-schema.md
  • scripts/validate_plan.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of smart-cart-command-planner. - Converts Chinese or English natural-language commands into structured, conservative motion plans for an omnidirectional smart cart. - Supports task decomposition, waypoint planning, obstacle-aware movement, emergency-stop handling, and JSON control-plan generation. - Follows strict safety guidelines including emergency stop prioritization and obstacle sensing. - Handles both forward/backward/lateral movement, turning, sensing, waiting, and stopping. - Requires explicit confirmation for high-risk or ambiguous requests, with all plans explained concisely and assumptions clearly stated.