Agent skill

Configure G1 Sim2real

by EGalahad in EGalahad/sim2real

Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real.

No licenceAuto-check passedAI & LLM Engineering

Install Configure G1 Sim2real

skills CLI
$ npx skills add EGalahad/sim2real --skill configure-g1-sim2real -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install EGalahad/sim2real configure-g1-sim2real --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/EGalahad/sim2real.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/configure-g1-sim2real .claude/skills/configure-g1-sim2real && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
configure-g1-sim2real
GitHub stars
146
Token cost
~1.5k tokens
SKILL.md length
641 words
Files
5 (incl. scripts, references)
Skills in repo
3
Repo updated
First seen
Licence
None found

At a glance

Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real.

  • Works in 7 steps: Inspect and choose a profile → Sync code without environments or large… → Configure native and shell dependencies → …
  • Root uv environments and inference extras
  • SKILL.md covers Operating rules, Workflow and Completion report
  • Runs Shell and Python scripts from its folder; calls uv, ssh and bash

What it does

Configure G1 Sim2real is an agent skill from EGalahad/sim2real. Install, repair, and verify sim2real on G1 robot computers. Use for root uv environments and inference extras, robot-g1 dependencies, CycloneDDS builds, G1 network interfaces, Hugging Face offline assets, ONNX Runtime compatibility, inline RobotIO or MotionSwitcher DDS failures, local-to-robot sync, isolated PICO or DH116S environments, and G1 deployment bring-up.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/g1-setup-runbook.md` and `scripts/inspect_host.sh`).

It sits in AI & LLM Engineering, covering Model hubs and datasets. It works with Hugging Face and ONNX.

When your agent uses it

  • Root uv environments and inference extras
  • Robot-g1 dependencies
  • CycloneDDS builds
  • G1 network interfaces

Example prompts

  • “/configure-g1-sim2real”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Inspect and choose a profile
  2. Sync code without environments or large artifacts
  3. Configure native and shell dependencies
  4. Install the selected root profile
  5. Prepare deploy-time assets
  6. Install isolated peripherals only when requested
  7. Verify without commanding hardware

What it can do on your machine

Read from SKILL.md and the folder at commit 73b3bec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Shell and Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv
    • ssh
    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv and ssh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Configure G1 Sim2real loads about 1.5k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 641 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 641 words (~1,456 tokens).

“Configure the G1 host from current evidence. Do not infer its OS, network interface, Python environment, or GPU runtime from its SSH alias.”

— opening of SKILL.md by EGalahad
name
configure-g1-sim2real

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in .agents/skills/configure-g1-sim2real of EGalahad/sim2real.

  • SKILL.md
  • agents/openai.yaml
  • references/g1-setup-runbook.md
  • scripts/inspect_host.sh
  • scripts/verify_install.py

Open the folder on GitHubat commit 73b3bec

Compare with similar skills

Configure G1 Sim2real next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Configure G1 Sim2real compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Configure G1 Sim2real this skillEGalahad/sim2real146—~1.5kAutomated safety check: PassNone
Xybrid Initxybrid-ai/xybrid469—~3kAutomated safety check: PassApache-2.0
Community Model ConversionRisorseArtificiali/anti-vocale118—~2.2kAutomated safety check: PassApache-2.0
Publish Modelayutaz/piper-plus234—~1.1kAutomated safety check: PassMIT
Quark Torch Exportamd/Quark182—~1.5kAutomated safety check: PassMIT
Quark Torch Ptqamd/Quark182—~2.3kAutomated safety check: PassMIT

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More from EGalahad/sim2real

  • Install, convert, debug, and benchmark sim2real ONNX GPU and TensorRT inference backends on onboard JetPack 5 Orin hosts such as g1-cable.

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  • Adapt Policy To Sim2real

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Questions about Configure G1 Sim2real

What does Configure G1 Sim2real do?

Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real. Configure G1 Sim2real is an agent skill from EGalahad/sim2real. Install, repair, and verify sim2real on G1 robot computers.

When should I use Configure G1 Sim2real?

Configure G1 Sim2real fits situations like: root uv environments and inference extras; robot-g1 dependencies; cycloneDDS builds; G1 network interfaces.

How do I install Configure G1 Sim2real in Claude Code?

Run `npx skills add EGalahad/sim2real --skill configure-g1-sim2real -a claude-code`. Or copy the skill folder (.agents/skills/configure-g1-sim2real in EGalahad/sim2real) into .claude/skills/configure-g1-sim2real in your project. Claude Code loads it when a task matches its description.

How do I install Configure G1 Sim2real in Codex?

Run `npx skills add EGalahad/sim2real --skill configure-g1-sim2real -a codex`. Or copy the skill folder (.agents/skills/configure-g1-sim2real in EGalahad/sim2real) into .agents/skills/configure-g1-sim2real in your project. Codex loads it when a task matches its description.

Can I use Configure G1 Sim2real in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add EGalahad/sim2real --skill configure-g1-sim2real -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configure-g1-sim2real, .gemini/skills/configure-g1-sim2real, .github/skills/configure-g1-sim2real and .opencode/skills/configure-g1-sim2real in your project.

What does Configure G1 Sim2real need to run?

Going by SKILL.md and its folder, Configure G1 Sim2real needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (uv, ssh and bash). Our summary lists: Python 3; A Bash shell.

Does Configure G1 Sim2real access the network?

SKILL.md contains no URLs. Its commands use uv and ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Configure G1 Sim2real safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Configure G1 Sim2real use?

No licence was found for Configure G1 Sim2real or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Configure G1 Sim2real use?

About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Configure G1 Sim2real?

Skills that share tags, products or a category with Configure G1 Sim2real: Xybrid Init (xybrid-ai/xybrid, 469 stars), Community Model Conversion (RisorseArtificiali/anti-vocale, 118 stars), Publish Model (ayutaz/piper-plus, 234 stars) and Quark Torch Export (amd/Quark, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Configure G1 Sim2real?

EGalahad (a GitHub user) maintains it in EGalahad/sim2real, which has 146 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 28, 2026.

Source: EGalahad/sim2real on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.