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Run and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote Python server, with Nova Carter SIL. Use for demos, showcase replays, Mission Control driving a simulated robot, or diagnosing the integrated small-warehouse scenario. Detect existing Isaac Sim installations without modifying them, automatically select a usable runtime without prompting whenever compatibility can be confirmed, and delegate requested installation or version changes to isaac-sim-installation. Defaults to a canonical Isaac 6.0 warehouse and deterministic circular route when the user does not specify another scenario.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 4 083 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Run and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote…

As a process C 57/100 · Has gaps — References files that are not bundled: references/troubleshooting.md, references/bring-up-cloud-stack/, scripts/run.py

AnalyzerDockerData and analyticsSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
57/100
Has gaps
References files that are not bundled: references/troubleshooting.md, references/bring-up-cloud-stack/, scripts/run.py
Tools and files w 18
0
Inputs and preconditions w 11
0
Result and completion w 14
40
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/troubleshooting.md
  • warning missing-ref reference to a missing file: references/bring-up-cloud-stack/
  • warning missing-ref reference to a missing file: scripts/run.py
  • warning missing-ref reference to a missing file: references/change-map/
  • warning missing-ref reference to a missing file: references/change-fleet-composition/
  • warning missing-ref reference to a missing file: references/isaac-sim-remote/
  • warning missing-ref reference to a missing file: references/isaac-sim-installation/
  • warning missing-ref reference to a missing file: scripts/doctor.py
  • warning missing-ref reference to a missing file: references/workflow.md

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: references/troubleshooting.md, references/bring-up-cloud-stack/, scripts/run.py
  • 0Tools and files. 9 referenced file(s) missing: references/troubleshooting.md, references/bring-up-cloud-stack/, scripts/run.py
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Result and completion. Does not say what the result is
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4083 tokens
  • 100Steps. 47 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 691: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.