Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add isaac-sim/IsaacAutomator --skill isaac-automatorgit clone --depth 1 https://github.com/isaac-sim/IsaacAutomatorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/isaac-sim/isaacautomator/isaac-automator)<a href="https://agentmods.dev/skills/isaac-sim/isaacautomator/isaac-automator"><img src="https://agentmods.dev/badge/skills/isaac-sim/isaacautomator/isaac-automator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/isaac-sim/isaacautomator/isaac-automator"><img src="https://agentmods.dev/badge/skills/isaac-sim/isaacautomator/isaac-automator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 63 Potential security issue detected. Manual review is recommended.Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
- medium MCP Rug Pull · line 63 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00123 | $0.02078 |
| Opus 5 | $0.00062 | $0.01039 |
| Sonnet 5 | $0.00025 | $0.00416 |
| Haiku 4.5 | $0.00012 | $0.00208 |
Grade A, and why
isaac-automator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Isaac Automator: deploy and operate a cloud Isaac Workstation
Isaac Automator provisions a GPU virtual machine in a public cloud and configures it as a ready-to-use Isaac Workstation: a remote-desktop VM with Isaac Sim, Isaac Lab, and/or Isaac Lab Arena installed, plus lifecycle controls, data transfer, and import of existing deployments. This skill drives that CLI to stand up, use, and tear down a workstation.
Source: https://github.com/isaac-sim/IsaacAutomator
When to use this skill
Use it when the user wants to deploy, connect to, manage cost on, or tear down a cloud Isaac workstation via Isaac Automator. Do NOT use it for installing Isaac Sim/Lab on local hardware, for changing Isaac Automator's own code (Python/Terraform/Ansible), or for writing simulation or robot-learning code.
Before you act
- It provisions real, paid cloud infrastructure. A running deployment bills by the hour; a stopped instance still bills for storage. Treat every deploy and start as live-fire.
- Always clean up. Stop when idle (
./stop), and destroy (./destroy <name> --yes) when done. Only destroy stops all cost. - Run non-interactively. The deploy commands prompt for any required option you omit; an unanswered
prompt blocks an agent. Supply every required option and use
--existing replace(neverask). - Never print or commit credentials. Pass them via environment variables and reference them by name.
Prerequisites
- Docker installed and running.
- Cloud credentials for the target cloud. For AWS the simplest path is
AWS_ACCESS_KEY_ID+AWS_SECRET_ACCESS_KEYin the environment; otherwise the tool falls back to an interactive SSO login. - Build the container image once, from the repo root:
./build.
Everything runs inside the isaac_automator Docker image, and the top-level scripts wrap it. The ./run
helper uses an interactive TTY; for a headless agent, call the container directly instead:
docker run --rm --network host -v "$(pwd)":/app \
-e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY \
isaac_automator "<command>"
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 180 lines · 123 tokens per session scan A d9ee52d800ac
isaac-automator is a skill published in the GitHub repository isaac-sim/IsaacAutomator (261 stars, last pushed today), licensed Apache-2.0. It adds 123 tokens to every session and 2,078 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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