Sync Upstream
nyaruka/phonenumbers
Sync this Go port with a new upstream google/libphonenumber release — regenerate the embedded metadata and reconcile the ported Java logic.
Review an Open-H-Embodiment dataset submission for format compliance, required metadata, Cartesian end-effector kinematics, and hours accounting.
Install Submission Review
$ npx skills add open-h/open-h-embodiment --skill submission-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-h/open-h-embodiment submission-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/submission-review .claude/skills/submission-review && rm -rf skills-srcUse ~/.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/
Install the "submission-review" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/submission-review into .claude/skills/submission-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submission-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/submission-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add open-h/open-h-embodiment --skill submission-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-h/open-h-embodiment submission-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/submission-review .agents/skills/submission-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "submission-review" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/submission-review into .agents/skills/submission-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submission-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add open-h/open-h-embodiment --skill submission-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-h/open-h-embodiment submission-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/submission-review .cursor/skills/submission-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "submission-review" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/submission-review into .cursor/skills/submission-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submission-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/open-h/open-h-embodiment.git --path .claude/skills/submission-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add open-h/open-h-embodiment --skill submission-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-h/open-h-embodiment submission-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/submission-review .gemini/skills/submission-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "submission-review" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/submission-review into .gemini/skills/submission-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submission-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install open-h/open-h-embodiment submission-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add open-h/open-h-embodiment --skill submission-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/submission-review .github/skills/submission-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "submission-review" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/submission-review into .github/skills/submission-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submission-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add open-h/open-h-embodiment --skill submission-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-h/open-h-embodiment submission-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/submission-review .opencode/skills/submission-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "submission-review" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/submission-review into .opencode/skills/submission-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "submission-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
submission-review- GitHub stars
- 149
- Token cost
- ~1.7k tokens
- SKILL.md length
- 699 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Review an Open-H-Embodiment dataset submission for format compliance, required metadata, Cartesian end-effector kinematics, and hours accounting.
- Works in 7 steps: Run the validator → Verify the LeRobot v3.0 layout and the… → Check required metadata → …
- Asked to review
- SKILL.md covers Procedure and Reporting format
- Calls python
What it does
Submission Review is an agent skill from open-h/open-h-embodiment. Review an Open-H-Embodiment dataset submission for format compliance, required metadata, Cartesian end-effector kinematics, and hours accounting. Use when asked to review, validate, or grade a contributed dataset.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Accounting and bookkeeping. The repository describes itself as: Open-H-Embodiment is a community‑driven dataset initiative building the open, shared foundation needed to train and evaluate a generalist Vision‑Language‑Action (VLA) model for….
When your agent uses it
- Asked to review
- Grade a contributed dataset
Example prompts
- “/submission-review”
Requirements
- Python 3
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Run the validator
- Verify the LeRobot v3.0 layout and the dataset README
- Check required metadata
- Verify Cartesian end-effector kinematics
- Compute hours and compare against minimums
- Confirm this is not raw unlabeled video
- Produce the review
What it can do on your machine
Read from SKILL.md and the folder at commit c8f8632. 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
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Submission Review loads about 1.7k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 699 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 699 words (~1,702 tokens).
“Review a contributed dataset against Open-H-Embodiment v2 requirements. Submissions are LeRobot format v3.0 datasets (the guide pins the lerobot[dataset]==0.6.0 package; any lerobot >= 0.4.0 can read format v3.0, and the package version and the dataset format version are separate versioning…”
- name
- submission-review
Files
Just SKILL.md in .claude/skills/submission-review of open-h/open-h-embodiment.
Open the folder on GitHubat commit c8f8632
Compare with similar skills
Submission Review 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Submission Review this skillopen-h/open-h-embodiment | 149 | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Sync Upstreamnyaruka/phonenumbers | 1.6k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Radiology Tablehuang-sir1/radiology-skills | 1.9k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| ERPClaw ERP Controlleravansaber/erpclaw | 116 | — | ~18k | Automated safety check: Pass | GPL-3.0 | |
| Odoo Agency Fleet Reviewerpipe-org/mcp-odoo | 421 | — | ~699 | Automated safety check: Pass | MIT | |
| Beancount Closebex-co/beancount-io | 297 | — | ~1.4k | Automated safety check: Pass | MIT |
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Categories
Questions about Submission Review
What does Submission Review do?
Review an Open-H-Embodiment dataset submission for format compliance, required metadata, Cartesian end-effector kinematics, and hours accounting. Submission Review is an agent skill from open-h/open-h-embodiment. Review an Open-H-Embodiment dataset submission for format compliance, required metadata, Cartesian end-effector kinematics, and hours accounting.
When should I use Submission Review?
Submission Review fits situations like: asked to review; grade a contributed dataset.
How do I install Submission Review in Claude Code?
Run `npx skills add open-h/open-h-embodiment --skill submission-review -a claude-code`. Or copy the skill folder (.claude/skills/submission-review in open-h/open-h-embodiment) into .claude/skills/submission-review in your project. Claude Code loads it when a task matches its description.
How do I install Submission Review in Codex?
Run `npx skills add open-h/open-h-embodiment --skill submission-review -a codex`. Or copy the skill folder (.claude/skills/submission-review in open-h/open-h-embodiment) into .agents/skills/submission-review in your project. Codex loads it when a task matches its description.
Can I use Submission Review 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 open-h/open-h-embodiment --skill submission-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/submission-review, .gemini/skills/submission-review, .github/skills/submission-review and .opencode/skills/submission-review in your project.
What does Submission Review need to run?
Going by SKILL.md and its folder, Submission Review needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Submission Review access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Submission Review 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. Review the folder before installing.
What licence does Submission Review use?
Submission Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Submission Review use?
About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Submission Review?
Skills that share tags, products or a category with Submission Review: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 116 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Submission Review?
open-h (a GitHub organization) maintains it in open-h/open-h-embodiment, which has 149 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on August 14, 2026.
Source: open-h/open-h-embodiment on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.